Loopsbench / rules
microsoft/Loopsbench/loopsbench/agents/swe-agent/.cursor/rules/project-overview.mdc
SWE-agent implements an AI software engineering agent that uses language models to fix github issues. Here's what you need to know about the project structure:
Cursor rule32 starsChanged 2 months ago
--- description: globs: alwaysApply: true --- # SWE-agent overview SWE-agent implements an AI software engineering agent that uses language models to fix github issues. Here's what you need to know about the project structure: - The main entry points to running are in the `sweagent/run`, in particular `run_single.py` and `run_batch.py`, where the latter is used for benchmarking. - The main class that governs agent behavior is `sweagent/agent/agents.py` - The AI agent proposes actions that are executed in sandboxed docker containers - At the beginning of an agent class, we initialize a `SWEEnv` class from `sweagent/environment/swe_env.py`. This class interfaces with the SWE-ReX project to interface with the sandboxed docker containers - Part of the SWE-agent project are tools in `tools/`. They are organized in bundles. These bundles are copied to the sandboxed container and made available in the $PATH variable. - In addition we provide two "inspectors" that allow to inspect trajectories (the output files of agents), `inspector_cli.py` provides a command line interface and `sweagent/inspector/server.py` a web interface.
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