Codeflash

What is Codeflash?

Codeflash is a tool that speeds up Python code. You install it in a project's virtual environment with pip, run codeflash init, and it analyses functions by executing them, proposes faster rewrites, checks that behavior is unchanged using your existing tests plus generated regression tests, and opens pull requests with benchmark numbers attached. It runs from the command line, a VS Code extension with inline optimize hints, a GitHub app and GitHub Actions for continuous optimization of new pull requests. The vendor reports individual functions that sped up from 10% to 5000x. Plans are priced per user: a Free plan with 25 optimization credits a month for public GitHub projects, Pro at $20 per user per month after a 14-day trial, and Enterprise with custom pricing, unlimited credits and on-premises deployment. The company homepage now also describes a managed performance-engineering service with a Codeflash agent.

Use cases

• Speed up slow Python functions
• Optimize every new pull request automatically
• Reduce compute and cloud cost
• Review optimizations before opening pull requests
• Improve machine learning and data processing code
• Check that optimizations keep behavior unchanged

Who it's for

• Python developers
• Data and ML engineers
• Engineering teams
• Platform teams

Why use Codeflash

• Optimizations arrive as pull requests with measured results, so a reviewer can accept or reject each change on evidence.
• Behavior is verified by running tests, which lowers the risk that a faster rewrite changes outputs.
• Running it in CI keeps new code from reintroducing slow patterns.
• The Free plan lets you try it on public projects with no payment.
• Pro plans promise no AI training on your code.

Codeflash features

• Optimization of Python functions by running and profiling them
• Correctness checks against existing tests and generated regression tests
• Pull requests with benchmark results and rationale
• VS Code extension with inline optimize hints
• GitHub app and GitHub Actions for continuous optimization
• Staging review to inspect optimizations before PRs
• Command line use on one function or the whole codebase
• Zero data retention policy on Pro and Enterprise

Codeflash integrations

• GitHub
• GitHub Actions
• VS Code
• Claude Code
• Cursor

How to get started with Codeflash

1. Install Codeflash in your project's virtual environment with pip install codeflash, then run codeflash init.
2. Provide an API key by signing in with GitHub, choose the module and tests folder, and install the GitHub app.
3. Run codeflash --all or target one file and function, or let GitHub Actions optimize new pull requests.
4. Review the generated pull requests with benchmark numbers, or hold them in staging review first.

Codeflash limitations

• Only Python is optimized
• Free plan is limited to 25 optimization credits a month, public GitHub projects and local tracing
• Not every function has an optimization available
• Staging review is a Pro feature

Codeflash pricing

Yes, Codeflash has a free plan. Paid plans start at $20 per month, according to the official pricing page on 24 Oct 2026.

Codeflash plans

• Free

  Free

  • 25 function optimization credits per month
  • Community support
  • Public projects on GitHub only
  • Local tracing only
  • AI training permitted

• Pro

  $20 per user/month

  starts with a 14-day free trial

  • 500 function optimization credits per user per month
  • Advanced optimizations and code quality metrics
  • Priority support
  • Private projects on GitHub
  • User dashboard and analytics
  • Zero data retention policy

• Enterprise

  Custom

  • Unlimited optimization credits
  • Admin usage analytics
  • On-premises deployment
  • 24/7 premium support
  • Custom SLAs on optimizations suggested

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Codeflash alternatives

The main Codeflash alternatives listed on Debuly are GitHub Copilot, Cursor, Sourcery, Gito, OpenRabbit and CodeRabbit. The table compares pricing and platforms; order is A–Z.

1. 

   CodeRabbit

   AI code review for pull requests, IDEs and the CLI, with pre-merge checks, one-click fixes, triage and security scans.

   CodingDeveloper platformsAutomation and agents
   FreemiumVisit CodeRabbit (official site)
2. 

   Cursor

   AI code editor and coding agent with cloud agents, Bugbot code review and multi-provider models, sold with Grok and X plans.

   CodingAutomation and agentsDeveloper platforms
   FreemiumVisit Cursor (official site)
3. 

   GitHub Copilot

   GitHub's AI coding assistant for code completion, chat and agents in VS Code, JetBrains, Visual Studio, the CLI and GitHub.com.

   CodingAutomation and agents
   FreemiumVisit GitHub Copilot (official site)
4. Gi

   Gito

   Open-source AI code reviewer that checks GitHub pull requests and local changes with the language model provider you choose.

   CodingDeveloper platformsAutomation and agents
   Open sourceVisit Gito (official site)
5. OR

   OpenRabbit

   Free self-hosted GitHub pull request reviewer that runs in your own Actions and posts AI summaries and inline comments

   CodingAutomation and agentsDeveloper platforms
   Open sourceVisit OpenRabbit (official site)
6. 

   Sourcery

   AI code review for GitHub and GitLab pull requests with summaries, suggested fixes and security scanning, free on public repositories.

   CodingDeveloper platformsAutomation and agents
   FreemiumVisit Sourcery (official site)

Codeflash FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from cdn.prod.website-files.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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