Autonomous MLOps Agent for Codebase Automation and RAGAutonomous MLOps Agent for Codebase Automation and RAG
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Autonomous MLOps & Software Engineering Agent
I built an AI-powered developer agent designed to inspect a codebase, work with project files, execute development commands, and retrieve relevant context from vector memory.
Key capabilities
Tool-calling agent: Registered tools for listing project files, reading and writing files, and running terminal commands.
API backend: FastAPI service for the agent's application interface.
Vector memory: ChromaDB integration for semantic retrieval of codebase context and documentation.
Interactive dashboard: Streamlit interface for interacting with the agent.
Error-correction workflow: Designed to use execution errors as feedback for subsequent correction attempts.
Technology stack: Python, FastAPI, Groq, ChromaDB, Streamlit.
Project focus: Agentic AI, developer automation, retrieval-augmented generation, and AI application engineering.
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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started