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SWE-Agent - AI Code Repair Agent

An open-source AI agent that navigates code repositories, edits files, and runs tests to autonomously resolve GitHub issues, achieving state-of-the-art performance on SWE-bench.

  • Autonomous Issue Resolution
  • Agent-Computer Interface
  • Benchmark Dominance
  • Multi-LLM Integration
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SWE-Agent - AI Code Repair Agent
SWE-Agent - AI Code Repair Agent

Product Overview

An open-source AI agent that navigates code repositories, edits files, and runs tests to autonomously resolve GitHub issues, achieving state-of-the-art performance on SWE-bench.

Key Features & Benefits

Autonomous Issue Resolution

Agents independently navigate codebases, edit files, and execute tests to resolve GitHub issues end-to-end without human intervention.

Agent-Computer Interface

Specialized tools provide agents with file navigation, editing capabilities, and shell access for comprehensive repository interaction.

Benchmark Dominance

Achieves 12.29% issue resolution rate on SWE-bench, outperforming all existing models in real-world software engineering tasks.

Multi-LLM Integration

Supports configuration with various large language models for flexible and optimized performance across coding tasks.

Use Cases

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Autonomous GitHub Issue Resolution

SWE-Agent can autonomously take a GitHub issue, navigate the repository, and generate a pull request to fix the bug without human intervention.

"We pull things back to the management layer, where I just assign a bug report and the bot tries to fix it completely autonomously."
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Assign Tasks via Workplace Integrations

SWE-Agent integrates with issue trackers and messaging platforms (e.g., Asana, Slack) to accept assignments and report back completion status automatically.

"These new agentic coding tools… operate like the manager of an engineering team, assigning issues through workplace systems like Asana or Slack and checking in when a solution has been reached."
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Automated Debugging of Misnamed File Bugs

In a real-world example, SWE-Agent rapidly identified a misnamed file error in a GitHub repository and corrected the code path to resolve the issue.

"It correctly determined that the root cause of the bug was a line that pointed to the wrong location for a file, then navigated through the project… and amended the code so that everything ran properly."
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Deep Technical Walkthrough

Co-author Ofir Press presents a 20-minute deep dive into SWE-Agent’s design decisions, interface architecture, and evaluation on coding benchmarks.

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Pros & Cons

  • Achieves state-of-the-art performance on SWE-bench among open-source projects

    [source]

  • Integrates seamlessly with workplace systems like Asana and Slack

    [source]

  • Requires careful configuration of the Agent-Computer Interface for best results

    [source]

  • Depends on high-end LLMs (e.g., GPT-4), increasing API usage costs

    [source]

FAQ

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Information

  • github.com
  • Published date6/28/2025
  • Last updated6/28/2025

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