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@llama_index

Today we’re featuring Agentless - an agentless approach to automatically resolving software development issues 🧑‍💻 In contrast with complex autonomous agent approaches (e.g. Devin), Agentless proposes a simple three step approach for solve issues: localization, repair, and patch validation. Importantly, it doesn’t allow LLMs to autonomously decide future actions. As a result it achieves the highest performance with lowest cost on SWE-Bench Lite 💫 It’s a great example of how sometimes a more constrained LLM workflow can do better at domain-specific tasks. Uses @llama_index for embedding-based retrieval. By @steven_xia_ et al. - check out paper below. Repo: https://t.co/Zb2CxE3mOZ Paper: https://t.co/WXiTE6Xw8s

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