5 Practical Skills for Coding Agents
卡尔的AI沃茨 · wechat · 2026-07-17
The author reviews the skill designs they created for an IDE/coding agent to test if classic one-liner prompts still hold up in the era of stronger models. The conclusion? Many classic prompts aren't obsolete; they actually work even better for extended thinking and long-horizon tasks.
The post outlines 5 common techniques:
- Occam's Razor / Murphy's Law: Keep things minimal during development, but account for worst-case scenarios during validation.
- First Principles + Multi-Agent Adversarial Review: Break down complex tasks first, then have multiple agents review each other's work.
- No Extra Explanations: Adding "do not output unnecessary commentary" to AGENT.md makes the model's output much more restrained.
- Ask One Question at a Time: Keep probing until the requirements are fully understood before providing a final solution.
- Sub-Agent Allocation via Coase Theorem: Handle minor tweaks locally, but delegate major changes to more powerful models to avoid long wait times for simple tasks.
The author concludes that as models grow stronger, these skills will eventually be "internalized," but they remain highly useful at the current stage.
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