Developer ditches AI specs for live code references, cuts correction rounds sharply
A developer managing a fleet of 600 web tools found that feeding abstract specification documents to Claude Code consistently produced only 80% quality output, requiring multiple correction rounds. To fix this, they restructured their AI agent workflow so the agent copies a live, production-deployed reference instead of reading static specs, which tend to diverge from reality over time. They also split 'build new tool' and 'repair existing tool' tasks into completely separate skills, arguing that merging them bloats procedures and wastes the agent's finite context window. The repair workflow was designed as a routing system that directs the agent to only the relevant category of reference material, preventing hallucinated fixes. A final safeguard was added: critical rules that must never be violated are enforced by automated write-time hooks rather than relying solely on the agent reading advisory documents.
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