Prompt
Can you recommend a multi-file code generation tool for refactoring legacy services with branch-based code review workflows?
Latest observation
Yes — for multi-file code generation aimed at refactoring legacy services while keeping a branch-based code review workflow, I’d recommend:
Best overall: Aider
Why it fits well:
- Works directly with your git repo and edits multiple files
- Makes changes in a branch-friendly way, so you can review diffs normally in PRs
- Good for refactoring existing codebases, not just generating new code
- Can be driven through prompts like “update these services to use X pattern” and then iterates across files
Good if you want:
- Code changes that are easy to inspect in
git diff - Incremental refactors across many files
- Human-reviewed branches/PRs
Strong alternatives
Cursor
- Great for developer workflow and multi-file edits
- Strong IDE integration
- Good for refactoring, but less “git-native” than Aider
GitHub Copilot Chat
- Convenient inside VS Code / JetBrains
- Useful for multi-file assistance
- Better for interactive editing than autonomous repo-wide refactoring
Sourcegraph Cody
- Good for large legacy codebases
- Strong codebase understanding
- Useful when refactoring across many interconnected files
If your priority is branch-based review
Choose a tool that:
- works directly in a local repo
- outputs standard file diffs
- doesn’t hide changes inside a proprietary UI
- integrates cleanly with PRs
That makes Aider especially attractive.
Practical recommendation
If you’re refactoring legacy services and want to keep the process reviewable:
- Create a feature branch
- Use Aider to make multi-file changes
- Review the diff normally
- Run tests/linters
- Open a PR
If you want, I can also give you:
- a comparison table of Aider vs Cursor vs Cody vs Copilot
- a recommendation based on your stack, e.g. Java/Spring, .NET, Python, or Node
Observation history
See 1 earlier observation
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.