codeflash-ai / codeflash
Coding super-intelligence to find the most optimized Python code. Use it to optimize existing codebases or new Pull requests as a GitHub Action or a VS Code Extension.
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing codeflash-ai/codeflash in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Embed this Badge
Showcase RepoMind's analysis directly in your repository's README.
Repository Overview (README excerpt)
Crawler viewCodeflash is a general purpose optimizer for Python that helps you improve the performance of your Python code while maintaining its correctness. It uses advanced LLMs to generate multiple optimization ideas for your code, tests them to be correct and benchmarks them for performance. It then creates merge-ready pull requests containing the best optimization found, which you can review and merge. How to use Codeflash - • Optimize an entire existing codebase by running • Automate optimizing all __future__ code you will write by installing Codeflash as a GitHub action. • Optimize a Python workflow end-to-end by running Codeflash is used by top engineering teams at **Pydantic** (PRs Merged), **Roboflow** (PRs Merged 1, PRs Merged 2), **Unstructured** (PRs Merged 1, PRs Merged 2), **Langflow** (PRs Merged) and many others to ship performant, expert level code. Codeflash is great at optimizing AI Agents, Computer Vision algorithms, PyTorch code, numerical code, backend code or anything else you might write with Python. Installation To install Codeflash, run: Add codeflash as a development time dependency if you are using package managers like uv or poetry. Quick Start • To configure Codeflash for a project, at the root directory of your project where the pyproject.toml file is located, run: • It will ask you a few questions about your project like the location of your code and tests • Ask you to generate an API Key to access Codeflash's LLMs • Install a GitHub app to open Pull Requests on GitHub. • Ask if you want to setup a GitHub actions which will optimize all your future code. • The codeflash config is then saved in the pyproject.toml file. • Optimize your entire codebase: This can take a while to run for a large codebase, but it will keep opening PRs as it finds optimizations. • Optimize a script: Documentation For detailed installation and usage instructions, visit our documentation at docs.codeflash.ai Demo • Optimizing the performance of new code for a Pull Request through GitHub Actions. This lets you ship code quickly while ensuring it remains performant. https://github.com/user-attachments/assets/38f44f4e-be1c-4f84-8db9-63d5ee3e61e5 • Optiming a workflow end to end automatically with https://github.com/user-attachments/assets/355ba295-eb5a-453a-8968-7fb35c70d16c Support Join our community for support and discussions. If you have any questions, feel free to reach out to us using one of the following methods: • Free live Installation Support • Join our Discord • Follow us on Twitter • Follow us on Linkedin License Codeflash is licensed under the BSL-1.1 License. See the LICENSE file for details.