The agentic AI SDLC directory

Guides to becoming an AI-native engineering team

A journey through adopting AI agents in engineering: from strategy to implementation, from workflows to governance. Deepened bit by bit, pillar by pillar.

Foundations

The mental models that separate teams who ship production software with AI from teams who ship technical debt.

Workflows

The day-to-day practice: capturing intent, running agents, reviewing, and keeping a tight feedback loop.

Governance & risk

Adopting AI across a team without losing control of standards, security, IP, or the skills of your juniors.

Tooling

An independent read on the AI coding tools, from someone with no vendor to favor, so you can match the tool to how your team works.

Want to bring this to your team?

Keynotes, advisory and workshops on agentic AI SDLC.