SWE-agent is an AI agent developed by Princeton that solves GitHub issues by converting language models into software engineering agents with a custom interface for interacting with real codebases.
Princeton's AI agent that solves real GitHub issues. Turns LLMs into software engineering agents with a custom agent-computer interface for real codebases.
SWE-agent holds a HookFlow heat score of 44/100 in AI Coding Agents, currently showing a clear upward trajectory in community and search signals. Over the last 7 days its score moved +12 points (up), +4 over 30 days. On the Lock-In Index it scores 100/100 (high lock-in, with significant switching cost).
0–100 viral momentum index combining social buzz, search trends & growth velocity
Computed from 3 live sources in the latest pipeline run — more sources, higher confidence.
SWE-agent is an AI agent that solves real GitHub issues by turning large language models into software engineering agents. It uses a custom agent-computer interface designed to work with actual codebases.
Yes, SWE-agent is free to use.
SWE-agent was developed by Princeton as an AI research tool for automated software engineering.
A.R.C. ratings are calculated for developer infrastructure and API-first tools. This tool hasn't been evaluated yet or falls outside the A.R.C. scope.
Lower = more portable. 0 = fully open, 100 = maximum lock-in.
GitHub health score, founder track record, full A.R.C. breakdown, category peer comparison, and 14-day score forecast — in one printable report.
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