AI dev tools & evals to ensure AI agent reliability

flutter
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AI dev tools & evals to ensure AI agent reliability Try Antigravity → Flutter DevTools → Flutter AI DevTools docs → How is developer experience evolving as software development shifts from autocomplete to orchestrated AI agent teams? Eric is joined by Mariam (Product Manager for Dart & Flutter), Kenzie (Tech Lead for Dart & Flutter DevTools), and Nohe (Antigravity Developer Relations Engineer) to unpack how the Flutter team approaches developer tooling in the agentic era. Learn why foundational tools like the Dart Analysis Server, DevTools, and the VM service matter more than ever, how Model Context Protocol (MCP) servers and skills give AI agents deterministic superpowers, and how the team builds rigorous evaluations (evals) to ensure AI generates reliable, idiomatic code. Watch more Flutter Create → Chapters: 0:00 - Vision for Dart & Flutter developer experience 2:41 - Prioritizing feedback 3:33 - The shift from autocomplete to multi-agent orchestration & developer trends 5:25 - How the developer experience team adapts tooling for AI workflows 9:16 - Why build agentic tools when models keep improving? 12:07 - What has the Developer Experience Team been building to support agentic coding tools? 15:18 - What Dart & Flutter MCP tools & skills actually do 21:35 - How the team evaluates & benchmarks AI tools 24:20 - When will the eval results be released? 0:00 - What DevX looks like in 1–3 years 0:00 - Historical shifts, scarcity & the future of dev jobs 0:00 - Agent plugins & custom agents #Flutter #FlutterC
  2026/11/11      youtube

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