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Standard LLMs are great at snippets, but they struggle with end-to-end SWE tasks. I decided to tackle this head-on. 🛠️
Introducing SWE-SYNTH-RL: A framework for training models on synthetic software engineering tasks using Reinforcement Learning.
Key features:
✅ Synthetic SWE-bench style data gen
✅ RL-based training loops for better PR resolution
✅ High-performance pipeline
If you’re interested in autonomous agents or the future of dev tools, check out the repo:
🔗 https://github.com/glowsenior/Powerful-SWE-SYNTH-RL-Training
Let’s get those PRs merged. 💻✨
Great!
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