The State of AI Adoption 📊 — with Matt McClernan

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Dec 5, 2025

In a dynamic conversation, Matt McClernan, CEO of Augment Code and an AI coding expert, dives into the state of AI adoption among engineering teams. He explores the gap between personal and team adoption, stressing the role of documentation as a powerful tool for enhancing AI outputs. Matt reveals how context engineering, particularly through RAG-based retrieval, can transform coding practices. He also discusses the future of AI in developer workflows, including the evolution of UX tools like IDEs and CLIs and the importance of governance in this rapidly changing landscape.

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INSIGHT

Personal Adoption Outpaces Team Standards

Individual AI use surged fast but team adoption remains fragmented without shared practices.
Luca and Matt highlight that bottom-up experimentation must evolve into champion-driven sharing cycles.

ADVICE

Build A Champion-Led Feedback Loop

Create a champion circle to share use cases and accelerate team adoption across squads.
Hold regular rituals where champions demo wins and teach effective patterns to peers.

INSIGHT

Docs Are Context Fuel For Reliable AI

Documentation is the core fuel of context that makes AI outputs trustworthy in large codebases.
Matt shares that live, up-to-date docs plus context indexing drastically reduce onboarding time.

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