• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.

Adopting frontier models is the easy part; this covers the delivery, review and deployment changes an org has to make before agentic engineering actually sticks at enterprise scale.

• videoHow to Generate Mergeable Code with a Context Engine — Peter Werry, Unblocked
• videoFinOps for AI Agents: Who Spent All the Tokens? — Tisha Chawla & Susheem Koul, Microsoft
• videoWhat If Your Chip Design Team Moved Like a Single Body? — Abduallah Mohamed, AIDAChip
• videoCoding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois, Tessl

• articleAgile AI Development Lifecyclevaleriavg_dev
• clipThree closing recommendations for agentic engineeringAI Engineer
• articleBeyond code generation: rethinking engineering productivity in the age of AI agentsIlya Yakovlev,Andrew Cheung,Binoy Dash,Simran Jumani,Dmitriy Meyerzon,Mark Breitenbach,Ishan Mishra,Kazuaki Okumura

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