For small codebases, you can run this tool on the entire directory and it would generate a well-formatted Markdown prompt detailing the source tree structure, and all the code. You can then upload this document to either GPT or Claude models with higher context windows and ask it to:
- Rewrite the code to another language.
- Find bugs/security vulnerabilities.
- Document the code.
- Implement new features.
You can customize the prompt template to achieve any of the desired use cases. It essentially traverses a codebase and creates a prompt with all source files combined. In short, it automates copy-pasting multiple source files into your prompt and formatting them along with letting you know how many tokens your code consumes.
What do you mean my small codebase. I hope not the normal todo repos or basic apps. Can this be run on production codebase like a java application having dozens of microservices inside it.
Yes, this just depends on the model you're using. Small-medium size codebases would fit inside Claude's 200K context window and Gemini 1.5 has a 1M context window which would essentially fit 99% of codebases.
For reference:
- The Flask web framework for Python: 131880 tokens
- Rewrite the code to another language.
- Find bugs/security vulnerabilities.
- Document the code.
- Implement new features.
You can customize the prompt template to achieve any of the desired use cases. It essentially traverses a codebase and creates a prompt with all source files combined. In short, it automates copy-pasting multiple source files into your prompt and formatting them along with letting you know how many tokens your code consumes.