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Design long-running agents by separating durable session history, evolving harness logic, and disposable execution environments.
Archive
Software-engineering
Technical blog posts and working notes on AI systems, modeling, and production lessons.
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Measure coding-agent productivity using accepted work, review effort, and later rework instead of generated code or perceived speed.- Published on
Design enforceable filesystem, credential, and network boundaries that limit what an AI agent can reach when model-level safeguards fail.- Published on
Learn how plans, durable artifacts, and evaluator loops help coding agents complete long-running software tasks without losing direction.