Deep dives into engineering productivity, team culture, and the hidden patterns that separate high-performing teams from the rest.
AI-DLC is not traditional SDLC with AI bolted onto each phase. The real shift is from human handoffs to intent-driven orchestration across humans and agents.
Vibe coding is fast for exploration, but production needs durable intent. Spec-driven development is how AI-DLC keeps agents aligned as work scales.
Coding agents move beyond autocomplete and chat into planning, execution, and validation — and AI-DLC is the lifecycle that can absorb that shift.
Multi-agent software development is not more bots — it needs role boundaries, shared context, decision lineage, and clean handoffs between specialist agents.
AI made implementation cheaper. The new constraints are context quality, decision latency, review capacity, and rework — and they decide whether AI-DLC pays off.
Context engineering is not dumping more files into an agent. It is deciding what context matters, when it applies, and which decisions are authoritative.