| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 | |
fix(i18n): shard translation CI by phase + commit README translations + fix language picker (#387) * fix(i18n): shard translation CI by phase, commit README translations, limit picker to supported languages The translate workflow ran one job per language, but a full 503-lesson language run is ~27h on a CPU runner. Every job hit the 5.5h limit and was killed before its publish step, so it banked nothing and the translations branch never got created: it would retry and die forever. CI sharding - Matrix is now one job per (language, phase). The largest phase (19, 85 lessons) is ~4.5h, comfortably under the limit; most are 1-1.6h. max-parallel raised to 20. - Cache is per-(language, phase) (i18n/<lang>/.cache/<phase>.json) and each job publishes only its own i18n/<lang>/phases/<phase>/ slice, so disjoint shards merge without clobbering. translate_lessons.py gains --phase __root__ for the README and a per-phase cache path. README translations (committed to main, not CI) - scripts/build_readme_i18n.py rebuilds i18n/<lang>/README.md by replacing only the translated line-spans in a copy of the English README; the banner, badges, 584-row lesson table, and every link are preserved byte-for-byte (round-trip identity asserted every run). Root-relative links are rewritten to resolve two levels deep. - scripts/readme_translations.py holds hand-authored translations (highest quality for a landing page) for 12 languages: es, fr, pt, de, it, zh, ja, ko, hi, ar, ru, tr. Unmapped blocks fall back to English. - README language bar points at the committed files and lists all 12. i18n/ README.md is un-ignored; lesson artifacts stay ignored. - CI guard: build_readme_i18n.py --check fails on drift; the counts bot regenerates them when it syncs the English stats block. Language picker - build.js emits only source + ci:true languages into langs.js, so the site switcher offers only languages the site can actually serve (English + the 5 ci languages) instead of all 40 registry entries. Cache-bust bumped. Fixes the timed-out run in the translate workflow. * feat(learning): AI-native learning flow, learn-first homepage, evidence-backed learner wall The course gains a terminal-first learning experience driven by any coding agent, and the homepage leads with it. Learning skills (skills/ canonical, .claude/skills/ mirror for cloners) - start-learning: one-time onboarding. Three-question interview, placement quiz, writes LEARNING.md (mission, entry phase, 20-phase path, progress log, review queue) that every later session reads and updates. - learn: the tutor loop. Warm-up recall from the previous lesson's quiz, then the next lesson taught interactively (problem, concept, build, use), then the post-stage quiz, then progress recorded. Works cloned or entirely over raw.githubusercontent.com; no setup required. - course-guide: topic router over the README contents. A topic, question, or bug in; the exact lessons plus the right next command out. - find-your-level: 503-lesson count, agent-neutral question flow, raw-fetch fallback for ROADMAP.md, hand-off to start-learning/learn. - check-understanding: no-clone fallback fetching lesson docs from raw. - npx skills add rohitg00/ai-engineering-from-scratch installs exactly these five for any SKILL.md agent (verified against this tree: 5 found, no dupes, none of the 388 lesson artifacts). CI guard: skills/ and .claude/skills/ must stay identical. README - "Start learning in 30 seconds" section up top; Getting Started reordered with terminal learning as Option A; skills table covers all five; the toolkit section no longer claims npx installs the 388 outputs (it never did; they install via scripts/install_skills.py). Homepage - Masthead install card: the two-command flow with real agent marks and a copy chip (icon, hover invert, press scale, copied state, clipboard fallback). Colophon "cp" button upgraded to the same component and its label-swap no longer destroys the icon. - Cycling figure plate fills the masthead's empty right side and explains the course: FIG_001 forward pass draws itself and runs signal pulses; FIG_002 types out a /learn agent session with a blinking caret; FIG_003 learning curves with graph grid, area fill, on-curve milestone markers (computed on the bezier), axis arrowheads, and a rider dot. Sequential fade between plates so text can never double-expose; fixed per-tier width/offset so the plate never clips at any viewport; reduced-motion shows a static plate. - Learner wall: seamless JS-filled marquee (clones halves until the loop covers any viewport, constant scroll speed, no blank gaps) with real marks for every name that has a redistributable SVG (simple-icons plus official Wikimedia files in site/logos/); IIT Bombay and Windsor are type-set because only fair-use logos exist. Anonymized pull quote from a Google AI engineer beneath. Grayscale with dark-theme invert. - Mobile: command wraps instead of horizontal scrolling. | 1 个月前 |
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