Developer builds multi-agent AI tool that converts GitHub issues into pull requests

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A developer has created 'resolvo', an agentic AI pipeline that automatically converts GitHub issues into ready-to-merge pull requests without requiring any local setup. The tool accepts a GitHub issue and repository URL, then runs the code through a multi-agent workflow built on LangGraph that explores the codebase, plans changes, implements fixes, runs tests in a sandbox, and performs an adversarial review. It uses a confidence-based routing system to assign lightweight or deep processing depending on issue complexity, and integrates Google Gemini models of varying reasoning depth for different pipeline stages. Tests are executed inside an E2B sandbox against a real clone of the repository, ensuring fixes are validated before a pull request is opened. The developer claims the tool cuts issue turnaround time by 85%, aiming to free senior engineers from routine maintenance work.

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