search
HomeBackend DevelopmentPython TutorialWe made an AI SWE that solved of issues on the SWE bench, % open-source.

We at Composio are building the tool infrastructure for AI agents. One of our users' biggest requests was toolkits for building custom coding agents that work. So, we created SWE-Kit, a starter template with all the toolkits for building AI coding agents.

These agents can run locally end-to-end to automate your coding workflows.

To test the efficiency of our tools, we built a comprehensive AI agent complete open-source using LangGraph and tested it on SWE-bench verified, and it got 48.60% and 41% on SWE-bench lite.

We made an AI SWE that solved  of issues on the SWE bench, % open-source.

SWE-bench is a benchmark with over 2,200 real-world Python issues from repositories such as Django, Flask, Sklearn, SciPy, etc.

We made an AI SWE that solved  of issues on the SWE bench, % open-source.

Check out the technical report for more: Tool design is all you need for SOTA AI agents
Complete code for the SWE agent: SWE-kit Agent


The tools you need for running the agent locally

  • Code Analysis Tool: Intelligently retrieves relevant code snippets from the repository.
  • File Tool: Facilitates navigation and updates to files.
  • Shell Tool: Performs shell operations.
  • Git Tool: Handles version control tasks.
  • Composio Docker workspace for isolated code execution.

We optimized the tools for improved function calling accuracy.


What can you build with SWE-kit and Composio?

The code is open-source, and you can even modify it to add external integrations like GitHub, Jira, Linear, Slack, etc., using Composio to build a full-fledged AI software engineer.

You can automate many aspects of your Software development workflows with custom agents such as,

  • Writing codes
  • refactoring code bases
  • testing
  • documentation
  • Project management with Linear or Jira, etc.
  • Communication using Slack and Gmail.

For an architectural explanation of the SWE-Kit agent, check out the SWE-Kit agent blog published on LangChains’ blog.

I am not even kidding. Many companies have raised millions just from this.

Start building your custom local coding agent with SWE-kit now.

Get Started with SWE-kit

The above is the detailed content of We made an AI SWE that solved of issues on the SWE bench, % open-source.. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What are some common operations that can be performed on Python arrays?What are some common operations that can be performed on Python arrays?Apr 26, 2025 am 12:22 AM

Pythonarrayssupportvariousoperations:1)Slicingextractssubsets,2)Appending/Extendingaddselements,3)Insertingplaceselementsatspecificpositions,4)Removingdeleteselements,5)Sorting/Reversingchangesorder,and6)Listcomprehensionscreatenewlistsbasedonexistin

In what types of applications are NumPy arrays commonly used?In what types of applications are NumPy arrays commonly used?Apr 26, 2025 am 12:13 AM

NumPyarraysareessentialforapplicationsrequiringefficientnumericalcomputationsanddatamanipulation.Theyarecrucialindatascience,machinelearning,physics,engineering,andfinanceduetotheirabilitytohandlelarge-scaledataefficiently.Forexample,infinancialanaly

When would you choose to use an array over a list in Python?When would you choose to use an array over a list in Python?Apr 26, 2025 am 12:12 AM

Useanarray.arrayoveralistinPythonwhendealingwithhomogeneousdata,performance-criticalcode,orinterfacingwithCcode.1)HomogeneousData:Arrayssavememorywithtypedelements.2)Performance-CriticalCode:Arraysofferbetterperformancefornumericaloperations.3)Interf

Are all list operations supported by arrays, and vice versa? Why or why not?Are all list operations supported by arrays, and vice versa? Why or why not?Apr 26, 2025 am 12:05 AM

No,notalllistoperationsaresupportedbyarrays,andviceversa.1)Arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,whichimpactsperformance.2)Listsdonotguaranteeconstanttimecomplexityfordirectaccesslikearraysdo.

How do you access elements in a Python list?How do you access elements in a Python list?Apr 26, 2025 am 12:03 AM

ToaccesselementsinaPythonlist,useindexing,negativeindexing,slicing,oriteration.1)Indexingstartsat0.2)Negativeindexingaccessesfromtheend.3)Slicingextractsportions.4)Iterationusesforloopsorenumerate.AlwayschecklistlengthtoavoidIndexError.

How are arrays used in scientific computing with Python?How are arrays used in scientific computing with Python?Apr 25, 2025 am 12:28 AM

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

How do you handle different Python versions on the same system?How do you handle different Python versions on the same system?Apr 25, 2025 am 12:24 AM

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

What are some advantages of using NumPy arrays over standard Python arrays?What are some advantages of using NumPy arrays over standard Python arrays?Apr 25, 2025 am 12:21 AM

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor