AutoCodeRover: BEST Automated Software Engineer! (Opensource)
In this video, we unveil a groundbreaking solution for resolving GitHub issues with unprecedented efficiency.
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[Link's Used]:
Research Paper: https://arxiv.org/pdf/2404.05427.pdf
Github Repo: https://github.com/nus-apr/auto-code-...
🔍 Context Retrieval & 💊 Patch Generation:
AutoCodeRover leverages cutting-edge Language Model (LLM) technology coupled with robust analysis and debugging capabilities to revolutionize bug fixing and feature addition. Through two pivotal stages—context retrieval and patch generation—this automated system prioritizes patch locations, leading to swift and accurate issue resolution.
✨ Key Highlights:
Discover how AutoCodeRover outperforms the current state-of-the-art efficacy of AI software engineers. Learn about its unique features, including Program Structure Aware code search APIs and enhanced repair rates with test case utilization.
📹 Video Content:
Explore how AutoCodeRover resolves approximately 22% of issues on SWE-bench lite, comprising 300 real-world GitHub issues. Uncover the intricacies of its operation, from navigating codebases to crafting precise patches.
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🔖 Additional Tags & Keywords:
#AutoCodeRover #github #ai #programming #softwareengineering #bugfixing #codegeneration #techinnovation #artificialintelligence
🚀 Hashtags:
#AutoCodeRover #AI #GitHub #Programming #TechInnovation #SoftwareEngineering
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