The Evolution of AI in Engineering
From individual productivity to organizational transformation.
#loopRuns on a schedule or self-loops with no human trigger#ai-integratedCalls an LLM at runtime to power a core feature#agenticAn autonomous agent that plans and acts across steps
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- A 4-level roadmap for how AI adoption matures inside engineering teams
- L0 - AI as a Tool: engineers use AI 1-on-1 for coding, debugging, and docs
- L1 - No More Chores: AI automates repetitive work from epic to deployment
- L2 - Walk in Giant Footsteps: AI reviews every change and guards quality
- L3 - Bring It Home: reusable AI agents scale team knowledge across the org