
Always Ship Optimal Code
Codeflash discovers the fastest version of your Python code through AI-powered optimizations, verifies correctness, and automatically delivers performance gains

Writing Fast Code is Hard
Slow code piles up when it’s hard to recognize opportunities for optimization - and even harder to fix them one by one
Your Project
The regressions accumulate invisibly until its too late
Detect and Prioritize bottlenecks

Reproduce Locally
and Profile

Research & Attempt
Optimizations

Risky to Ship
a
Code Change


Slow Code Wastes Time and Money
Every bottleneck costs you

Revenue
Users notice every slowness and bail out, unlikely to return again

Wait Time
You waste hours waiting for that one job to finish, breaking your flow

Cloud Bills
2x slow code means 2x compute spend, wasting your project’s budget

Codeflash automatically optimizes every line of code you and your coding agents write.

You Build, We Boost
Focus on writing features —Codeflash figures out how to make them blazing fast

Ship Elite Code, Together
Empower your entire team to deliver expert-level code, every time

Faster. Cheaper. Better.
Cut cloud costs, improve user experience and love
Ways to Use Codeflash
Pull Request Optimization
Automatically optimize new code in Pull Requests with Codeflash GitHub Actions workflow. Never ships slow code again.
Optimize Entire Codebase
Automatically optimize all important codepaths in your project with Codeflash’s comprehensive analysis
How Codeflash Works
It does everything an expert engineer would do when optimizing code
Deep Analysis


Expert Research


Bulletproof Testing


Proven Results


What Codeflash Excels at Optimizing

AI Agents
Decrease the latency of AI Agents by improving logic and improving concurrency

Machine Learning
Make all PyTorch and JAX code optimal by finding better algorithms

Algorithms
Discover the best and the fastest algorithm for any given problem.

Backend Services
Process more requests and reduce latency by improving logic and improving concurrency.

Data Processing
Optimize pandas operations and data transformations for faster analytics

Numerical Code
Vectorize operations and use numpy in the optimal way for maximal performance

What Developers Say

"Codeflash enables our team to ship blazing-fast computer vision models without sacrificing development speed. We've achieved 25% faster object detection—letting our customers run more video streams on fewer GPUs."

"We've used Codeflash in the Pydantic codebase to optimize recursive algorithms and attribute access patterns. The thorough testing gives us confidence in merging the changes”

“The library was already well optimized. But Codeflash submitted 10+ PRs in one week, each making functions 2-55x faster. Now it's part of our GitHub Actions.”
FAQ
Better algorithms, removing wasteful compute, smarter logic, more efficient library usage, better concurrency—the same optimizations an expert would make given enough time.
Runs existing tests plus generates comprehensive regression tests with LLMs and formal verification. Guarantees identical behavior before suggesting any changes.
Think "expert Python developer rewriting your code without changing behavior." Codeflash often matches or exceeds that.
Codeflash creates minimal code diffs by only making changes that directly improve performance. Codeflash also runs your code formatter and prefers more readable and succint optimizations where ever possible.
Codeflash implements expert optimization workflows with deep instrumentation that understands everything about a code's behavior and performance by executing it. This way Codeflash generates such high quality, confident optimizations that optimization can be automated for all new code.
Codeflash measures correctness and performance thoroughly to virtually eliminate optimizations that are incorrect or not faster. Although accepting any new code can be a subjective decision and you should review the code before merging.
Just close the PR or reject the optimization. Codeflash only suggests, you decide what gets merged.
No! Codeflash optimizes during development time and has 0 runtime overhead that can slow down your project for your users.
Never ship slow code again
Join teams at Pydantic, Roboflow, Langflow, Unstructured who always ship optimal code with Codeflash.




