Codeflash

Optimizing Python code is crucial for application performance, but the manual process of finding bottlenecks, refactoring, and benchmarking is often slow and diverts focus from core feature development. Codeflash is an AI-powered optimization tool that automates this entire workflow. It systematically finds faster versions of your Python code, rigorously verifies their correctness, and delivers measurable performance gains, allowing you to ship fast, reliable code with confidence.

Key Features

Codeflash integrates directly into your development workflow, transforming performance tuning from a manual chore into an automated, continuous process.

• ⚙️ Continuous Optimization in Your CI/CD Install Codeflash as a GitHub Action to automatically analyze every pull request. It catches inefficient code before it's merged, suggesting verified, faster alternatives complete with performance metrics. This ensures your codebase only gets faster over time.

• ✅ Automated Correctness Verification Codeflash uses a "generate and verify" approach. It first generates multiple optimized code candidates using AI. Then, it rigorously proves their correctness by running your existing tests and generating new, comprehensive regression tests (using both LLMs and concolic testing) to ensure the optimized code behaves identically to the original.

• 📊 Data-Driven Performance Benchmarking You don't have to guess if an optimization is worthwhile. Codeflash automatically benchmarks candidates against the original code, running multiple iterations to ensure accurate results. It only proposes an optimization if it delivers at least a 10% speed improvement, providing you with clear, verifiable data in every pull request.

• 🎯 Pinpoint Function Acceleration Instantly target and optimize a specific slow function in your codebase with a single command. Codeflash analyzes the function and its dependencies, finds the most efficient implementation, and provides you with a ready-to-merge, faster version.

How Codeflash Solves Your Problems:

Codeflash is designed to fit seamlessly into real-world development scenarios, delivering tangible results immediately.

• For Proactive Teams Preventing Performance Regressions Imagine a developer on your team submits a new feature. The integrated Codeflash GitHub Action automatically runs, identifies an inefficient algorithm within the new code, and comments on the pull request with a fully optimized and verified replacement that's 45% faster. The team reviews the clear explanation and data, merges the change, and prevents a performance issue from ever reaching production.

• For Modernizing a Legacy Codebase You've inherited a large, complex project with known performance issues but no clear starting point. Instead of spending weeks manually profiling, you run codeflash --all. The tool scans the entire repository, identifies the most impactful optimization opportunities, and provides you with verified, high-performance code replacements, allowing you to make significant improvements in a fraction of the time.

Unique Advantages

Codeflash is engineered to provide a level of trust and automation that sets it apart from traditional linters or manual refactoring.

• While other tools might suggest optimizations, Codeflash automatically verifies correctness. It doesn't just flag potential issues; it generates new regression tests to prove that the optimized function's return values, side effects, and error handling are identical to the original. This gives you exceptionally high confidence to merge its suggestions.

• Instead of making vague claims, Codeflash provides verifiable performance benchmarks. Every suggested optimization comes with a hard number—the percentage speed increase—measured on your own machine or CI environment. This eliminates guesswork and demonstrates tangible value.

• Unlike one-off analysis scripts, Codeflash enables true Continuous Optimization. By integrating directly into your GitHub workflow, it acts as a permanent safeguard for your application's performance, ensuring that you, your team, and even AI-generated code contributions adhere to high performance standards.

Ship Faster Features and Faster Code

Codeflash bridges the gap between rapid development and high-performance applications. It automates the tedious, time-consuming work of optimization—from discovery and refactoring to testing and benchmarking—so your team can focus on what they do best: building great products.

Start optimizing your code in minutes. Explore how Codeflash can integrate with your team’s workflow today!

Frequently Asked Questions (FAQ)

1. How does Codeflash guarantee that its optimizations are correct? Codeflash uses a robust "generate and verify" process. After an AI generates an optimized code candidate, Codeflash verifies its correctness in two ways: it runs any existing unit tests you have, and it generates its own new regression tests using both LLMs and concolic testing. It confirms that function return values, input mutations, and exception types are identical to the original code, providing high confidence that the behavior is unchanged.

2. What kind of code is best suited for Codeflash? Codeflash performs best on self-contained, pure functions that have minimal side effects (e.g., complex calculations, data transformations, algorithmic logic). It analyzes an entry-point function and the other functions it calls. Currently, Codeflash does not support async functions.

3. How does Codeflash measure performance accurately? To avoid inconsistent results from system noise, Codeflash runs both the original and optimized code through multiple iterations in a loop. It reports the minimum runtime achieved, which provides a stable and reliable performance metric. An optimization is only recommended if it demonstrates at least a 10% speed improvement over the original.