FastAPI service for intelligent AI-powered code analysis. Offers automated code reviews, refactoring suggestions, and quality improvements for Python, JavaScript, TypeScript, Java, and more. Built on Groq LLM with production Docker, Redis caching, Prometheus monitoring. 21+ tests, clean architecture, deployment-ready.

An automated service that receives task requests, uses LLM-powered code generation to build web applications, deploys them to GitHub Pages, and notifies evaluation APIs — all in a single workflow.

Automated FastAPI service that generates & deploys static web apps to GitHub Pages using LLM code generation

A FastAPI service that receives build requests, generates web app code via LLM (with a deterministic fallback), creates/updates a GitHub repo, deploys to GitHub Pages, and reports deployment details to an evaluation service.

This repository contains the code for LLM test generation for the test sequencer. It is deployed to Cloud as a service.

A robust FastAPI service that automatically generates, deploys, and manages web applications using LLM (Gemini) for code generation and GitHub Pages for hosting.

A FastAPI-based backend service for chat storage, retrieval, and AI-powered summarization. Supports real-time ingestion, pagination, and filtering with a scalable database. Includes LLM integration for generating summaries and insights, with clean modular code and deployment-ready setup.

Autonomous AI Software Engineering Platform that converts natural language requirements into deployable applications. Uses LLM agents to design architecture, generate code, create CI/CD pipelines, containerize services, and deploy to cloud infrastructure with Docker, Kubernetes, Terraform, and AWS while providing monitoring and observability.

A FastAPI-based service that receives user-provided prompts, uses an LLM to generate complete web applications, and automatically deploys them to GitHub Pages. It handles application creation, code updates, and evaluation callbacks seamlessly.

AI-powered web application that analyzes Python code and error logs to provide intelligent debugging assistance using LLM APIs (Groq ). Built with Streamlit and deployed on Azure App Service with custom domain and SSL support.