← back
Building an Autonomous Engineering Org - Angie Jones, Agentic AI Foundation
Takeaway
Organization-wide impact requires embedding reusable agent workflows into repositories rather than relying on individual tool adoption.
Summary
- At Block, roughly 90% adoption of coding AI among 3,500 engineers had not initially translated into faster feature delivery.
- A six-stage maturity model moves from no AI usage through task delegation and parallel agents to independently shippable outcomes.
- An AI champions program selected about 50 engineers willing to devote at least 30% of their time to enabling critical teams.
- Champions made repositories AI-ready with context files, rules, reusable workflows, AI review, and PR attribution, adapting patterns for different platforms and repository structures.
ai-adoptionengineeringgoose
Original description
Nearly every enterprise company has a mandate to convert its existing engineering org into an autonomous one. Buying the frontier models and tools is not enough. Everything about how we deliver software must change: from design, to development, to deployment. In this talk, I’ll walk you through the journey of transitioning traditional software engineers into agentic ones, the systems and processes required for their success, and the new challenges agentic engineering introduces for large enterprise companies. Speakers: Angie Jones (Agentic AI Foundation): Angie Jones is the VP of Developer Experience at the Agentic AI Foundation where she guides how agentic systems are designed, implemented, and adopted across the global developer ecosystem. X/Twitter: https://x.com/techgirl1908 GitHub: https://github.com/angiejones