sdlc 17
- Knowledge Transfer and Institutional Memory with AI
- Onboarding New Engineers into an AI-First Codebase
- Architecture Decisions with AI — ADRs, Design Reviews, and Technical Debt
- Documentation Culture in an AI-First Team — Better or Worse?
- AI in the CI/CD Pipeline — Automated Quality Gates
- Testing in an AI-First Team — Trust, Verification, and Coverage
- AI-First Pull Request and Commit Hygiene
- Code Review Culture When AI Writes the Code
- Writing Code as a Team with AI — Pair Programming Norms
- AI-First Sprint Planning and Task Breakdown
- Measuring Progress — What Metrics Actually Matter for an AI-First Team
- AI-First Team Culture: Norms, Expectations, and Psychological Safety
- Rethinking Team Roles in an AI-First World
- The Full AI Toolchain for Engineering Teams
- The AI-First Team Maturity Model — Where Is Your Team Today?
- What Does 'AI-First Engineering Team' Actually Mean?
- AI in the SDLC — The Honest State of Things in 2026