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Coding super-intelligence to find the most optimized Python code. Use it to optimize existing codebases or new Pull requests as a GitHub Action or a VS Code Extension.
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Kevin Turcios 92ab600edc fix: resolve remaining test failures from main sync 
- Update test_inject_profiling_used_frameworks, test_async_run_and_parse,
  test_pickle_patcher to use new inject_profiling_into_existing_test API
  (test_string param removed)
- Add parse_line_profile_results function to parse_line_profile_test_output
  module (imported by main's PythonFunctionOptimizer and test_instrument_tests)
2026-03-04 00:13:27 -05:00
.claude chore: add pre-commit rule from main 2026-03-03 20:31:53 -05:00
.codex chore: update tessl agent config files 2026-02-18 20:23:23 -05:00
.gemini chore: update tessl agent config files 2026-02-18 20:23:23 -05:00
.github/workflows merge: incorporate omni-main-java sync work 2026-03-03 23:42:39 -05:00
code_to_optimize fix mocha test runner 2026-03-03 20:50:50 -05:00
codeflash fix: resolve remaining test failures from main sync 2026-03-04 00:13:27 -05:00
codeflash-benchmark Merge commit '6346c740' into sync-main-batch-4 2026-02-19 21:26:23 -05:00
codeflash-java-runtime fix: reject vacuous equivalence and deserialization error false matches in Java comparator 2026-03-03 19:40:06 +00:00
docs chore: sync docs, rules, and workflows from main 2026-03-02 22:48:28 -05:00
experiments fix: lint issues in experiments folder and format fixes 2026-01-29 19:26:50 +05:30
packages/codeflash fix: cherry-pick main improvements into omni-java branch 2026-03-03 23:59:26 -05:00
tests fix: resolve remaining test failures from main sync 2026-03-04 00:13:27 -05:00
.gitignore Merge commit '6020c4fa' into sync-main-batch-3 2026-02-19 20:33:09 -05:00
.mcp.json Add MCP config for .mcp.json 2026-02-15 00:20:41 +00:00
.pre-commit-config.yaml update versions 2026-02-03 17:17:57 -05:00
CLAUDE.md chore: sync docs, rules, and workflows from main 2026-03-02 22:48:28 -05:00
codeflash.code-workspace improve codeflash debugging 2025-06-26 15:00:35 -07:00
LICENSE fix: update license format to use license-files 2026-02-17 05:54:21 +00:00
MULTI_LANGUAGE_ARCHITECTURE.md refactor 2026-02-11 02:05:54 +05:30
mypy_allowlist.txt fix: update mypy_allowlist.txt paths for moved static analysis modules 2026-02-19 04:45:24 -05:00
pyproject.toml chore: sync pyproject.toml from main and add tree-sitter-java dependency 2026-03-02 15:31:48 -05:00
README.md release/v0.17.0 (#756) 2025-09-23 14:02:30 -07:00
SECURITY.md Create SECURITY.md 2025-08-06 18:50:57 -07:00
tessl.json chore: update tessl tiles and upgrade dependencies 2026-02-18 20:23:23 -05:00
uv.lock chore: sync pyproject.toml from main and add tree-sitter-java dependency 2026-03-02 15:31:48 -05:00

README.md

Codeflash-banner

GitHub commit activity PyPI Downloads PyPI Downloads

Codeflash is a general purpose optimizer for Python that helps you improve the performance of your Python code while maintaining its correctness. It uses advanced LLMs to generate multiple optimization ideas for your code, tests them to be correct and benchmarks them for performance. It then creates merge-ready pull requests containing the best optimization found, which you can review and merge.

How to use Codeflash -

  • Optimize an entire existing codebase by running codeflash --all
  • Automate optimizing all future code you will write by installing Codeflash as a GitHub action.
  • Optimize a Python workflow python myscript.py end-to-end by running codeflash optimize myscript.py

Codeflash is used by top engineering teams at Pydantic (PRs Merged), Roboflow (PRs Merged 1, PRs Merged 2), Unstructured (PRs Merged 1, PRs Merged 2), Langflow (PRs Merged) and many others to ship performant, expert level code.

Codeflash is great at optimizing AI Agents, Computer Vision algorithms, PyTorch code, numerical code, backend code or anything else you might write with Python.

Installation

To install Codeflash, run:

pip install codeflash

Add codeflash as a development time dependency if you are using package managers like uv or poetry.

Quick Start

  1. To configure Codeflash for a project, at the root directory of your project where the pyproject.toml file is located, run:

    codeflash init
    • It will ask you a few questions about your project like the location of your code and tests
    • Ask you to generate an API Key to access Codeflash's LLMs
    • Install a GitHub app to open Pull Requests on GitHub.
    • Ask if you want to setup a GitHub actions which will optimize all your future code.
    • The codeflash config is then saved in the pyproject.toml file.

  2. Optimize your entire codebase:

    codeflash --all

    This can take a while to run for a large codebase, but it will keep opening PRs as it finds optimizations.

  3. Optimize a script:

    codeflash optimize myscript.py

Documentation

For detailed installation and usage instructions, visit our documentation at docs.codeflash.ai

Demo

  • Optimizing the performance of new code for a Pull Request through GitHub Actions. This lets you ship code quickly while ensuring it remains performant.

https://github.com/user-attachments/assets/38f44f4e-be1c-4f84-8db9-63d5ee3e61e5

  • Optiming a workflow end to end automatically with codeflash optimize

https://github.com/user-attachments/assets/355ba295-eb5a-453a-8968-7fb35c70d16c

Support

Join our community for support and discussions. If you have any questions, feel free to reach out to us using one of the following methods:

License

Codeflash is licensed under the BSL-1.1 License. See the LICENSE file for details.