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Author SHA1 Message Date
Florian BRUNIAUX
ac9b07a837 docs(guide): add YAML frontmatter to 24 top-level guide files 
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-15 19:20:31 +01:00
Florian BRUNIAUX
c958738c20 docs: integrate AI fatigue symptom recognition (score 3/5) 
Add session time-boxing guidance and nondeterminism stress recognition
to learning-with-ai.md across 3 strategic locations (~220 words total).

Changes:
- Red Flags Checklist: Add session fatigue warning with time-boxing mitigation
  (30 min limit, max 3 attempts before manual implementation)
- Productivity Reality: Add nondeterminism stress paragraph (identical prompts
  → varying outputs causes AI fatigue)
- UVAL Protocol: Add Step 2.5 checkpoint for fatigue signal recognition
  (session duration, retry count, frustration assessment)

Rationale:
- Score 3/5: Moderate relevance (90% overlap with existing content)
- Extracted only novel tactics: session time-boxing (distinct from weekly 70/30)
- Rejected contradictory recommendations (70% quality vs understand 100%)
- Full evaluation + technical-writer challenge: docs/resource-evaluations/

Source: Siddhant Khare, "AI Fatigue is Real and Nobody Talks About It"
        (Feb 2026, https://siddhantkhare.com/writing/ai-fatigue-is-real)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-02-10 13:13:32 +01:00
Florian BRUNIAUX
26ee4ef894 release: v3.20.1 - Vercel AGENTS.md vs Skills evaluation 
- New resource evaluation (025): Vercel blog on eager context vs lazy
  skill invocation (Gao, Jan 2026). Score 3/5, 13/13 fact-checked.
- Guide: added 8KB compression benchmark to CLAUDE.md sizing (line 3527)
- Guide: added 56% skill invocation warning to Memory Loading (line 4082)
- Guide: added invocation reliability caveat to skills.sh trade-offs
- Version sync 3.20.0 → 3.20.1

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-30 21:45:14 +01:00
Florian BRUNIAUX
ab8bfcf782 docs: add Anaconda Croce evaluation (minimal integration) 
Resource evaluated: "What I Learned Challenging Claude to a Coding Competition"
by Steve Croce (Anaconda Field CTO, Jan 16, 2026)

Score: 2/5 (Marginal - Info secondaire)

Integration:
- Added "Community Experiences" section in guide/learning-with-ai.md
- 2-paragraph mention with strong caveats (N=1, non-representative context)
- Full evaluation in docs/resource-evaluations/anaconda-croce-evaluation.md
- Updated reference.yaml count (14 → 16 evaluations)

Rationale:
- Provides light empirical validation (90s vs 60min on Advent of Code)
- Highlights "collaboration cost" angle (decreased Slack engagement)
- Limitations prevent extensive integration (solo puzzles ≠ team dev)
- Commercial bias noted (Anaconda blog by Anaconda CTO)

Technical review challenged initial 4/5 score → adjusted to 2/5.
Maintains guide rigor through minimal integration + explicit caveats.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-01-26 16:53:48 +01:00
Florian BRUNIAUX
a858dceda0 docs: add Context Overload anti-pattern (Rusitschka) 
- Add "Context Overload" anti-pattern in §9.8 Vibe Coding (line 8746)
- Unify plan mode + fresh context + handoffs under phased strategy
- Credit Jens Rusitschka ("Vibe Coding, Level 2", Jan 2026)
- Cross-reference existing patterns (§2.2, §2.3)
- Update reference.yaml with new entries (3 keys)
- Add cross-ref in learning-with-ai.md (line 96)

Source: https://kickboost.substack.com/p/are-you-still-vibe-coding-or-are

Score: 2.5/5 (10% useful packaging, 90% rebranding)
Integration: 60 lines added (concise, no duplication)

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-01-25 13:29:02 +01:00
Florian BRUNIAUX
c84c56bfbd docs: add AI Traceability & Attribution guide 
Comprehensive documentation on AI code attribution and disclosure:

- New guide: guide/ai-traceability.md (~640 lines)
  - LLVM "Human-in-the-Loop" policy (Assisted-by trailer)
  - Ghostty mandatory disclosure pattern
  - Fedora contributor accountability framework
  - git-ai tool documentation
  - PromptPwnd security vulnerability
  - Four-level disclosure spectrum
  - Implementation guides (solo, team, enterprise)

- Templates: examples/config/
  - CONTRIBUTING-ai-disclosure.md
  - PULL_REQUEST_TEMPLATE-ai.md

- Cross-references added to:
  - ultimate-guide.md (after Co-Authored-By section)
  - learning-with-ai.md (after Vibe Coding Trap)
  - security-hardening.md (See Also)
  - guide/README.md (table of contents)

- reference.yaml: 14 new entries for AI traceability topics

Source: Vibe coding needs git blame (Piotr Migdał, Jan 2026)
+ Perplexity research on LLVM, Ghostty, Fedora policies

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-01-24 20:11:53 +01:00
Florian BRUNIAUX
8fe99ca515 docs: add Matteo Collina practitioner insight (bottleneck shift thesis) 
Add Node.js TSC Chair's perspective on human judgment in AI-assisted development:
- Full entry in ai-ecosystem.md Practitioner Insights section
- Reference in learning-with-ai.md Practitioner Perspectives
- YAML index entries in reference.yaml

Key concepts integrated:
- Bottleneck shift from coding to reviewing
- "The human in the loop isn't a limitation. It's the point."
- Cultural warning against "AI wrote it" as excuse
- Data: Review time +91%, 96% developers don't trust AI code

Context: Response to Arnaldi's "Death of Software Development" (Jan 2026)

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-01-23 11:26:50 +01:00
Florian BRUNIAUX
377f5dbce1 docs: add OCTO Technology reference to learning-with-ai.md 
Added organizational perspective on AI-augmented development to
Practitioner Perspectives section. Key insights: pairs as minimal
team unit (bus factor), bottleneck shifts to functional requirements.

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-01-23 10:00:35 +01:00
Florian BRUNIAUX
09eb141976 docs: v3.9.6 - Trust Calibration, Vibe Coding Trap, reference.yaml sync 
Added:
- ultimate-guide.md: Trust Calibration section (1.7) with research-backed verification strategies
- ultimate-guide.md: Infrastructure as Code Skills (Anton Babenko's terraform-skill)
- learning-with-ai.md: "The Vibe Coding Trap" anti-pattern (Karpathy, Feb 2025)
- learning-with-ai.md: "Reality of AI Productivity" section with research
- learning-with-ai.md: External resource link to leerob.com/ai (AI fundamentals)
- IDEAS.md: "Vibe Coding Discourse" watching entry

Changed:
- reference.yaml: Complete line number synchronization (~55 entries)
  Guide grew from ~9900 to 11154 lines; all deep_dive references updated
- Version bump: 3.9.5 → 3.9.6

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-20 08:36:35 +01:00
Florian BRUNIAUX
fd17414abb docs: add AI productivity research, trust calibration, and exploration workflow 
## New Content

### Trust & Verification (ultimate-guide.md)
- Section 1.7 "Trust Calibration: When and How Much to Verify" (~155 lines)
  - Research-backed stats (ACM, Veracode, CodeRabbit, Cortex.io)
  - Verification spectrum by code type
  - Solo vs Team strategies with workflow diagrams
  - "Prove It Works" checklist
- New pitfall: "Trust AI output without proportional verification"
- CLAUDE.md size guideline: 4-8KB optimal, >16K degrades coherence

### AI Productivity (learning-with-ai.md)
- Section "The Reality of AI Productivity" (~55 lines)
  - Productivity curve phases (Wow Effect → Targeted Gains → Plateau)
  - High-gain vs low/negative-gain task categorization
  - Team success factors
- Productivity trajectory table by pattern (Dependent/Avoidant/Augmented)
- 5 new sources (GitHub, McKinsey, Stack Overflow, Uplevel, DORA)

### Session Limits (architecture.md)
- "Session Degradation Limits" section
  - Turn limits (15-25), token thresholds (80-100K)
  - Success rates by scope (1-3 files: ~85%, 8+ files: ~40%)

### Exploration Workflow
- NEW: guide/workflows/exploration-workflow.md
  - Anti-anchoring prompts, 3-5 approaches pattern
- iterative-refinement.md: Script Generation Workflow (3-7 iteration pattern)
- anchor-catalog.md: Anti-Anchoring Techniques, Exploration/Iteration Prompts

### Reference Updates
- adoption-approaches.md: Empirical data section
- reference.yaml: New deep_dive entries, updated line numbers

Sources: MetalBear engineering blog, arXiv studies, Addy Osmani (Jan 2026)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-19 19:16:33 +01:00
Florian BRUNIAUX
dab11d260c feat: reorganize learning commands under /learn namespace 
- Move quiz.md → learn/quiz.md (/learn:quiz)
- Add learn/teach.md (/learn:teach) for step-by-step concept explanations
- Add learn/alternatives.md (/learn:alternatives) for approach comparisons
- Update all references in guide, README, and reference.yaml

Follows Claude Code namespaced commands convention:
/namespace:command → .claude/commands/namespace/command.md

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-19 11:13:54 +01:00
Florian BRUNIAUX
7fd4048d5e feat: add learning guide & website badge 
- Add "Visit Website" badge to README.md (prominent, top position)
- Add learning-with-ai.md guide for junior developers (~900 lines)
  - UVAL Protocol, dependency patterns, 30-day progression plan
- Add 3 learning templates (55 total):
  - examples/claude-md/learning-mode.md
  - examples/commands/quiz.md
  - examples/hooks/bash/learning-capture.sh
- Fix template count: 52 → 55 (was incorrectly showing 56)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-17 18:42:34 +01:00