Why AI agents are bad at code refactoring
Article summary
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Give an AI agent an empty directory and a page of requirements, and it will impress you. Give the same agent an existing codebase and a one-line feature request, and there's a good chance it will leave the project slightly worse while fully satisfying the request. And "existing" no longer means old. In the agentic era a codebase can reach that state — drifted design, blurred patterns, obsolete docs — in a matter of weeks, sometimes days, often with an agent as the original author. The…
1Key Takeaways
- Give an AI agent an empty directory and a page of requirements, and it will impress you.
- Give the same agent an existing codebase and a one-line feature request, and there's a good chance it will leave the project slightly worse while fully satisfying the request.
- In the agentic era a codebase can reach that state — drifted design, blurred patterns, obsolete docs — in a matter of weeks, sometimes days, often with an agent as the original author.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that give an AI agent an empty directory and a page of requirements, and it will impress you.
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