AI SDLC field guide

The discipline behind AI that delivers.

The enterprise AI software development lifecycle by LockedIn Labs: specifications, quality and security checks, audit evidence, production readiness and public engineering resources.

AI SDLC, explained

The AI software
development lifecycle.

AI SDLC connects requirements, architecture, AI-assisted development, independent verification, deployment, and operations. An agentic SDLC also governs the identities, context, and tools that agents use to perform the work.

LockedIn Labs publishes its enterprise delivery method, verification specifications and reusable tools as a contribution to the engineering community. Explore quality, security, audit evidence and operational readiness, then inspect the published work.

Read the AI SDLC guide