Always ship performant code
Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking—while verifying it's correct
Optimize most Python code you write
Codeflash generates several ideas for optimization and finds the best one that is the fastest and correct.
Codeflash solves the problem, not just create "ai suggestions".
Codeflash enables our team to ship blazing-fast computer vision models without sacrificing development speed. We've achieved 25% faster object detection and improved throughput from 80 to 100 FPS—letting our customers run more video streams on fewer GPUs while our engineers focus on building new features which are made performant by Codeflash.
We've used Codeflash in the Pydantic codebase (300M+ downloads / month) to help optimize logic including repeated attribute access patterns and recursive algorithms. We're particularly impressed by the thorough testing and explanations provided by Codeflash which give us confidence in merging the recommended changes.
Keeping a large open-source project performant can be quite hard to do. With Codeflash we can be more confident that every new PR is optimized.
I've been working on Albumentations, an image augmentation library, for years now. The library is already well optimized. But the Codeflash team submitted over 10 pull requests in just one week, each making our functions significantly faster. The speedups range from 2× to 55× in some cases. I'm now adding Codeflash to our GitHub actions workflow so every PR will automatically get checked for potential performance improvements. It will help make the library even faster and teach everyone who contributes to Albumentations how to write more performant code.
Codeflash enables our team to ship blazing-fast computer vision models without sacrificing development speed. We've achieved 25% faster object detection and improved throughput from 80 to 100 FPS—letting our customers run more video streams on fewer GPUs while our engineers focus on building new features which are made performant by Codeflash.
We've used Codeflash in the Pydantic codebase (300M+ downloads / month) to help optimize logic including repeated attribute access patterns and recursive algorithms. We're particularly impressed by the thorough testing and explanations provided by Codeflash which give us confidence in merging the recommended changes.
Keeping a large open-source project performant can be quite hard to do. With Codeflash we can be more confident that every new PR is optimized.
I've been working on Albumentations, an image augmentation library, for years now. The library is already well optimized. But the Codeflash team submitted over 10 pull requests in just one week, each making our functions significantly faster. The speedups range from 2× to 55× in some cases. I'm now adding Codeflash to our GitHub actions workflow so every PR will automatically get checked for potential performance improvements. It will help make the library even faster and teach everyone who contributes to Albumentations how to write more performant code.
Write Highly Performant Code - While Shipping Features Fast
Finding and optimizing slow code is time consuming in sprawling code bases
Codeflash helps developers spend more time doing what they love: shipping
Continuously Optimize your GitHub PRs
Install Codeflash as a GitHub action and never ship slow code again.
Optimize entire projects
Run codeflash --all and codeflash acts as an expert performance engineer to profile, optimize and test every code path in your project to make it all blazing fast.
Find and fix what's slow in your codebase
