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Engineering Reliability into AI Agent Code Generation. Part II

Community description: Part II — The Components Part I defined eight failure modes of agent code generation...

Dev.to | Aug 30, 2026 | Alex Tranchenko

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The evidence model: no claim without an artifact Part I established that agent status reports are claims (P2: 75. 8% false-success rates for self-assessing coding agents). The evidence model is the systematic reply: for every kind of claim, define the artifact that proves it, and refuse the claim without the artifact. e1["build. log + exit code == 0"] e2["test. log + exit code == 0"] C5 — The artifact taxonomy. The verifier admits artifacts, never assertions — from any model, including the evaluator.

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