PromptGonChenResource
Modern LLMs already understand frameworks and coding patterns. Bloated prompts often introduce noise, making targeted constraints on execution behaviour a more effective way to prevent agent failure modes.
The project assumes that as models improve, effective prompts should become more concise. Rather than claiming to turn agents into senior engineers through vague personas, GonChen targets specific failure patterns: unnecessary scope expansion, lack of verifiable proof, and trivial conversational stops. The repository also includes an AGENTS.spare.md file with dormant rules that teams can selectively adopt when corresponding issues recur in practice.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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