Your Agent in the Fight Against Legacy Code
Legacy code rarely loses to one big refactor. More often, it requires patient work, good context, small steps, and sensible verification. An AI agent can help with that, but only if we treat it as a tool for working with code, not as a magical way to pay off technical debt.
From this article you will learn:
- Why is legacy code a difficult environment for AI agents?
- How can we prepare context so the agent does not work blindly?
- When is it worth asking an agent for analysis, and when for a code change?
- How can we control small steps, tests, and regression risk?
- Where does an agent's help end and the programmer's responsibility begin?




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