Matt Drankowski | AI Engineering Velocity

I’m Matt Drankowski, AI-SDLC Architect and Fractional AI Officer.

This channel is about what happens after companies buy AI coding tools. GitHub Copilot, Cursor, Claude, agents, and AI assistants can make developers write code faster - but they do not automatically improve delivery velocity.

I focus on AI-SDLC: the systems, governance, metrics, review workflows, quality gates, and architecture needed to turn AI-assisted coding into measurable engineering outcomes.

Topics I cover include Review Economics, DORA and SPACE metrics, GitHub Copilot at enterprise scale, AI governance, secure AI-assisted development, spec-driven engineering, agentic coding, and LLM cost optimisation.

I previously led enterprise AI engineering adoption for 7,000+ engineers in a Fortune 100 environment and now help engineering leaders close the gap between local AI productivity and organisational delivery performance.

Website: drankowski.co.uk