| title | Codeflash is an AI performance optimizer for your code | |||||||||
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| icon | rocket | |||||||||
| sidebarTitle | Overview | |||||||||
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Codeflash speeds up your code by figuring out the best way to rewrite it while verifying that the behavior is unchanged, and verifying real speed gains through performance benchmarking. It supports Python, JavaScript, TypeScript, and Java.
The optimizations Codeflash finds are generally better algorithms, opportunities to remove wasteful compute, better logic, utilizing caching and utilization of more efficient library methods. Codeflash does not modify the system architecture of your code, but it tries to find the most efficient implementation of your current architecture.
Pick your language to install and configure Codeflash:
Install via pip, uv, or poetry. Configure in `pyproject.toml`. Install via npm, yarn, pnpm, or bun. Configure in `package.json`. Supports Jest, Vitest, and Mocha. Install via uv. Supports Maven and Gradle. JUnit 5, JUnit 4, and TestNG.These commands work for Python, JS/TS, and Java projects:
```bash codeflash --file path/to/file --function my_function ``` ```bash codeflash --all ``` ```bash codeflash optimize myscript.py ``` ```bash codeflash init-actions ``` `pyproject.toml` reference `package.json` reference — includes monorepo, scattered tests, manual setup `pom.xml` / `gradle.properties` referenceCodeflash verifies the correctness of the optimizations it finds by generating and running new regression tests, as well as any existing tests you may already have. Codeflash tries to ensure that your code behaves the same way before and after the optimization. This offers high confidence that the behavior of your code remains unchanged.
Because Codeflash is an automated process, the main way to use it is by installing it as a GitHub action and have it optimize the new code on every pull request. When Codeflash finds an optimization, it will ask you to review it. It will write a detailed explanation of the changes it made, and include all relevant info like % speed increase and proofs of correctness.
This is a great way to ensure that your code, your team's code and your AI Agent's code are optimized for performance before it causes a performance regression. We call this Continuous Optimization.
Your feedback will help us make codeflash better, faster. If you have any questions or feedback, use the Intercom button in the lower right, join our Discord, or drop us a note at contact@codeflash.ai - we read every message!