Static Analysis meets Large Language Models
Semantic Crash Bucketing
⚙️ A tool to build bug-fix benchmarks with GitHub Actions ⚙️
This project uses HTTP requests to connect with APIs or web servers for essential data tasks in data science workflows, including retrieval, submission, and updating. In this project, I utilize Python, HTML, and Flask frameworks to refactor and fix bugs identified for the Scribble app.
Soft fix for Elite Suito speed bug.
Code Buddy Assist is a tool that enhances your coding experience by integrating Large Language Models (LLMs) to provide comprehensive support, from high-level architecture decisions to detailed bug fixing. It creates project snapshots, enabling AI to understand your code context and offer tailored guidance and assistance.
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