SWE-agent is a developer-focused AI agent framework that integrates with GitHub to autonomously diagnose and resolve code issues. It runs in Docker or GitHub Codespaces, uses your preferred language model, and allows you to configure tool bundles for tasks like linting, testing, and deployment. SWE-agent generates clear action trajectories, applies pull requests with fixes, and provides insights via its trajectory inspector, enabling teams to automate code review, bug fixing, and repository cleanup efficiently.
SWE-agent Core Features
Autonomous code issue detection and fixing
Integration with GitHub repositories
Support for GPT-4, Claude, and custom LMs
Configurable tool bundles
Docker and Codespaces deployment
Trajectory inspector for step-by-step output
SWE-agent Pro & Cons
The Cons
No explicit pricing information available
No mention of native mobile or desktop applications
May require technical expertise to install and customize
Limited information about user community or commercial support
The Pros
State-of-the-art performance on SWE-bench among open-source projects
Enables autonomous language model tool usage for diverse tasks
Highly configurable and fully documented with a simple YAML file
Free-flowing and generalizable design allowing maximum LM agency
Developed and maintained by leading researchers at Princeton and Stanford
Open-source and research-friendly, designed to be hackable
Sidekick integrates AI directly into your browser to assist with coding tasks across any web-based IDE or documentation site. Highlight code or text to receive instant explanations, generate code snippets, and access library references. Use the built-in chat widget to ask follow-up questions or request improvements. Sidekick maintains context across pages, so you can continue a session while browsing multiple resources. It also offers snippet management to save and reuse generated code, boosting productivity and reducing context switching.
