Agent swarms fail when they optimize for process instead of shipping code
doodlestein · x · 2026-08-04
- The author shares a hard-earned principle for agent swarms: all efficient swarms look alike, but every broken swarm fails in its own way.
- Their first rule is blunt: value delivery over process — don’t let agents get stuck in endless process theater when the repo still lacks functionality.
- The post warns that reasoning-heavy agents can become “process addicts,” optimizing for visible work instead of real progress.
- It recommends a workflow where the agent produces a first pass, then a stronger model such as GPT-5.6 Pro polishes the result.
- The image context reinforces that this is about a real project workflow, not abstract theory.
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