SWE-agent
SWE-agent
SWE-agent
AI & Machine Learning Development
AI Integration & APIs
Open Source
Automatic Bug Fixing
Innovative ACI
Open Source
GPT-4 Integration
AI & Machine Learning Development
AI Integration & APIs
Open Source
Automatic Bug Fixing
Innovative ACI
Open Source
GPT-4 Integration
AI & Machine Learning Development
AI Integration & APIs
Open Source
Automatic Bug Fixing
Innovative ACI
Open Source
GPT-4 Integration
Key Features
- Innovative agent-computer interface
- Compatible with major language models such as GPT-4
- Automated bug fixing capabilities
- Top-tier performance on software engineering benchmarks
Key Features
- Innovative agent-computer interface
- Compatible with major language models such as GPT-4
- Automated bug fixing capabilities
- Top-tier performance on software engineering benchmarks
Key Features
- Innovative agent-computer interface
- Compatible with major language models such as GPT-4
- Automated bug fixing capabilities
- Top-tier performance on software engineering benchmarks
Pricing Details
Open Source
Being open source, SWE-agent is freely available for use and contribution without any cost.
Open Source
Being open source, SWE-agent is freely available for use and contribution without any cost.
In a Nutshell
USEFUL FOR
AI Enthusiasts, Researchers, and Developers
POTENTIAL INTEGRATIONS
Integration with code editors and IDEs, Continuous integration and deployment pipelines, Project management tools, Bug tracking systems.
USEFUL FOR
AI Enthusiasts, Researchers, and Developers
POTENTIAL INTEGRATIONS
Integration with code editors and IDEs, Continuous integration and deployment pipelines, Project management tools, Bug tracking systems.
USEFUL FOR
AI Enthusiasts, Researchers, and Developers
POTENTIAL INTEGRATIONS
Integration with code editors and IDEs, Continuous integration and deployment pipelines, Project management tools, Bug tracking systems.
SWE-agent uses GPT-4, or any chosen language model, to automatically fix bugs and issues in GitHub repositories. It leverages a benchmark set, SWE-bench, to evaluate its efficiency, resolving 12.29% of issues within the test set. This tool is designed with a focus on improving the interaction between software engineering agents and computational environments through its Agent-Computer Interface, aiming to streamline and enhance the bug-fixing process.
SWE-agent uses GPT-4, or any chosen language model, to automatically fix bugs and issues in GitHub repositories. It leverages a benchmark set, SWE-bench, to evaluate its efficiency, resolving 12.29% of issues within the test set. This tool is designed with a focus on improving the interaction between software engineering agents and computational environments through its Agent-Computer Interface, aiming to streamline and enhance the bug-fixing process.
SWE-agent uses GPT-4, or any chosen language model, to automatically fix bugs and issues in GitHub repositories. It leverages a benchmark set, SWE-bench, to evaluate its efficiency, resolving 12.29% of issues within the test set. This tool is designed with a focus on improving the interaction between software engineering agents and computational environments through its Agent-Computer Interface, aiming to streamline and enhance the bug-fixing process.