ai agentic agent
Basic Information
This repository is an experimental, minimal agentic AI project that integrates with the Gemini CLI to explore automated code repair. It was created as a guided learning exercise (boot.dev referenced) and documents that it is unfinished and development is paused as of July 2025. The intent is to prototype an agent that can accept coding tasks, analyze simple error conditions, and attempt fixes using the Gemini toolchain. The README emphasizes experimentation and learning rather than a production-ready system. The codebase serves as a technical demonstration of agentic workflows for detecting and addressing small coding problems and as a starting point for further development or study.
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App Details
Features
The project is intentionally small and experimental. Key aspects include an agentic architecture built around the Gemini CLI for program analysis and repair, a focus on detecting and attempting to fix simple coding errors, and documentation noting its paused, unfinished status. It functions as a proof-of-concept demonstrating basic agent behaviors such as task intake, error diagnosis, and proposed code changes. The repository is presented as a learning artifact rather than a complete product and likely contains minimal scripts or configuration to illustrate invoking the Gemini CLI and observing agentic repair flows.
Use Cases
This repository is useful for developers and learners who want a hands-on example of building an AI-based code repair agent with Gemini. It provides a foundation for studying how a CLI-based model can be integrated into workflows that inspect code, identify straightforward issues, and suggest or apply corrections. Because the project is unfinished and development is paused, it is best used as reference material, an educational prototype, or a starting point for further experimentation. Contributors can resume development, reproduce the learning steps, or adapt the approach to other debugging automation projects.
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