Agent Harness Self-Improvement Without Benchmark Memorization
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When an agent scaffold tries to rewrite itself, it tends to learn the benchmark instead of the job. The setup is straightforward: freeze the base foundation model, then let an outer loop propose changes to system prompts, context management routines, tool definitions, and retry logic. If the score…
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- 2026-09-22 16:18 · DEV Community — AI
Agent Harness Self-Improvement Without Benchmark Memorization