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🧪 AI Development Hub

This hub organizes cross-cutting themes (separate from model/vendor guides under generative-ai/*). It consolidates duplicates and defines canonical/redirect policies.

🧱 Foundations / Methodology

🎯 Selection by Use Case

  • Process modernization & quality (teams/org)
  • See: methodology/index.md
  • Examples: agile quality, KPIs, automated checks
  • Agent development (PoC → production)
  • See: agentic/index.md
  • Examples: evolution/trends, practical deep dive, production
  • Day-to-day AI coding practice
  • See: practices/index.md
  • Examples: Copilot/Claude collaboration, implementation patterns
  • Site automation / voice input
  • See: automation/index.md
  • Examples: GitHub Actions, Whisper, Pages operations
  • Safety & audit readiness
  • See: security/index.md
  • Examples: transcription risks; upcoming: prompt injection
  • Hiring, upskilling, evaluation (skills)
  • See: skills/index.md
  • Examples: engineer philosophy, learning & maturity models

🔀 Boundary with generative-ai/methodology

Topicgenerative-ai/methodology (model/vendor-oriented)ai-development (cross-cutting/ops)
Culture/ChangeValue shifts, vendor showcasesTeam procedures, KPIs, standard templates
PromptingModel-specific tipsGeneric patterns, evaluation metrics
Agent buildClaude-specific APIsShared architecture, naming, consolidation
Test/QualityModel update caveatsLLM-aided tests, evaluation automation
SecurityModel-side constraintsInjection/leak prevention, audit
Skills/RolesNew roles overviewRoadmaps, maturity models
  • Methodology/Culture: methodology/index.md
  • Agent Development: agentic/index.md
  • LLM Practice Patterns: practices/index.md
  • Automation/Voice: automation/index.md
  • Security: security/index.md
  • Skills: skills/index.md

Updated: 2025-08-27