Open Issues Need Help
View All on GitHub add multi code parsers to reduce token length 2 months ago
AI Summary: Implement multiple code parsers (likely Abstract Syntax Tree - AST parsers) into the Ultron AI project to handle large code files more efficiently. The goal is to break down large codebases into smaller, manageable chunks to reduce token length and improve the performance and accuracy of the Gemini-based code analysis. This will address issues where long code snippets exceed token limits, hindering the AI's ability to effectively analyze the code.
Complexity:
4/5
enhancement help wanted
A security-focused autonomous AI agent built on Gemini. It leverages the model's native Tool Calling capabilities to perform deep, mission-driven code reviews and detect threats.
Python
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