Context compaction in coding agents can launder forged user instructions
Flattening harnesses accept forged approvals 87-100% of the time, while four role-typed harnesses reject the same attack.
Flattening harnesses accept forged approvals 87-100% of the time, while four role-typed harnesses reject the same attack.
On a 9B model, pass@1 rises 9.8, 12.6, and 6.4 points over GRPO on three SWE-bench sets.
Opera, a persistent verbal critic, lifts coding-agent resolve rates by up to 15 points on SWE-Bench-style benchmarks.
SkillSeek shows standard retrieval matches LLM-mediated agent skill selection at about half the cost.
A 2026 guide ranks 11 open-source agent harnesses, including OpenCode, Goose, Cline, and OpenHands, by local-LLM support, licensing, and safety controls.
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