facebookresearch/swe-sweep
How many bugs can LMs find & fix in large codebases?
Latest metrics (snapshot 2026-10-28)
| stars | 197 |
|---|---|
| forks | 23 |
| issues | 17 |
| pushed_at | 2026-10-23T06:38:14Z |
History
| Date | GitHub stars |
|---|---|
| 2026-10-28 | 197 |
| 2026-10-27 | 197 |
| 2026-10-26 | 196 |
| 2026-10-25 | 193 |
| 2026-10-24 | 185 |
| 2026-10-23 | 183 |
| 2026-10-22 | 178 |
| 2026-10-21 | 170 |
| 2026-10-20 | 169 |
| 2026-10-19 | 160 |
| 2026-10-18 | 148 |
ADC Momentum: 53/100 (-3 since previous day)
| Growth velocity | 42 |
|---|---|
| Consistency | 90 |
| Recency | 78 |
| Agent demand | 0 |
| Basis | archive |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/facebookresearch/swe-sweep)<a href="https://agentdataco.com/repo/facebookresearch/swe-sweep"><img src="https://agentdataco.com/badge/repo/facebookresearch/swe-sweep.svg" alt="ADC Momentum"></a>Details
| description | How many bugs can LMs find & fix in large codebases? |
|---|---|
| url | https://github.com/facebookresearch/swe-sweep |
| language | Python |
| license | NOASSERTION |
| topics | ai ai-agents benchmark benchmarking harbor harbor-framework llm llm-benchmark llm-benchmarking llm-benchmarks swe-bench |
| created_at | 2026-10-01T04:59:29Z |
| homepage | https://swesweep.com |
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