GPT Coding Agent's Over-Engineering: 41k Lines for Simple Migration vs. 20 Min Manual Fix
thatroblennon · x · 2026-08-27
A developer observed that advanced GPT/Codex-style models (potentially GPT-5.6 Sol) tend to over-engineer solutions to ensure zero errors, leading to massive code generation.
- Case Study: For a simple database migration, the AI generated 41,000 lines of code and a full test suite over 11 hours.
- Result: The user discarded the generated code and manually guided the process, finishing the migration in just 20 minutes.
- Insight: While these models excel at high-stakes planning, their "striver" nature can cause overkill on medium tasks. Developers need to balance automation with manual steering to avoid burning through usage limits.
Related event: Over-testing AI coding agents drive up token costs(3 posts)→
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