SWE-bench-SWE-smith
[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents
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GITHUB · launched Nov 5, 2026 · 25 upvotes (top 83%) · 0 views
Niche: ai and robotics training data platforms · 64 launches, 6 in the last 7 days ▼ -14% · Explore this niche →
Category and tags
- Horizontal
- Data infrastructure
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 64 launches in ai and robotics training data platforms →
Could you build this?
Partial The task-generation toolkit can be vibe-coded, but the project's real value is a large Docker-based dataset plus a trained 32B model. Reproducing those results needs research expertise and significant GPU compute.
What it would actually take: The pipeline needs containerized execution per repository, an LLM-driven or AST-based bug injection engine that produces test-verifiable failing tasks, and a grading harness. A faithful version also requires training an SWE-agent model on the generated trajectories, which needs ML research skills and substantial GPU budget. The toolkit alone is buildable, but the trained model is the hard part.
Competitors
Other products that read as similar to this one : 4319 launches clear the similarity bar, closest 8 shown.
Attention rank: #3462 of 4320 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 372 days after the earliest competitor.
- WMRL · github · 2026-09-10 · 21 upvotes · similarity 0.67
- Nobie · hn · 2026-07-13 · 96 upvotes · similarity 0.60
- wenbo · github · 2026-10-16 · 21 upvotes · similarity 0.59
- Data-World · github · 2026-10-13 · 19 upvotes · similarity 0.58
- Superset - the open source IDE for the AI Agents era · yc · 2026-05-26 · 13 upvotes · similarity 0.57
- aa-agentperf-local · github · 2026-09-26 · 48 upvotes · similarity 0.57
- maxxbench · github · 2026-11-07 · 32 upvotes · similarity 0.56
- Zesyde · github · 2026-10-10 · 15 upvotes · similarity 0.56
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.