Tool
EmergentRefactoring Legacy Code with AI
A safe, step-by-step workflow for using AI to improve existing code without breaking what works.
3 steps
codingdeveloper-toolsproductivity
1
Understand the code before changing it
Paste the code and ask AI to explain what it does, what dependencies it has, and what could break if you change it.
Example prompt
Explain what this code does in plain English. Identify: the purpose of each function, any side effects, external dependencies, what other parts of the codebase likely depend on this, and what the riskiest parts to change are. Code: [PASTE CODE]
2
Get a prioritized refactoring plan
Ask AI to list refactoring improvements ordered by impact and risk. Start with low-risk, high-value changes first.
Example prompt
Suggest refactoring improvements for this code, ordered by: impact (how much it improves readability/performance/maintainability) and risk (how likely it is to introduce bugs). For each suggestion: what to change, why it's better, and any risks. Code: [PASTE CODE]
3
Refactor one function at a time and test
Give AI one function to refactor. After each change, run your test suite. Never refactor multiple functions in a single AI turn.
Example prompt
Refactor only this single function. Preserve the existing behavior exactly — do not change what it returns or its side effects. Apply these improvements: [LIST IMPROVEMENTS FROM PREVIOUS STEP]. Show the before and after, and explain each change. Function: [PASTE SINGLE FUNCTION]
Ready to try Emergent?
Follow this playbook with the actual tool