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Articole: 9
  1. A field report on running local LLMs (Devstral 24B, Qwen3.5 122B) as autonomous coding agents inside a multi-agent harness — what worked, what broke, and the hardware wall behind it all.

  2. Why I spent weeks building Fieldnotes — a local-first knowledge graph that indexes your files, emails, tasks, and notes so you can query your own data with an LLM

  3. Why multi-agent orchestration is about parallelizing a plan, not keeping robots busy

  4. Why running one AI agent at a time is leaving most of your compute — and most of your time — on the table.

  5. Adoption Follows Culture

    Building the Platform Was Hard.

  6. What Block's 4,000 layoffs tell you about where AI actually works — and where it still burns you

  7. AI coding agents shouldn’t run with your laptop’s keys.

  8. Lessons learned after writing a full desktop app with GitHub Copilot & Codex