An AI-powered platform that uses an agentic workflow to automatically generate Project Requirement Documents (PRDs).
Enterprise-grade multi-agent AI system that orchestrates 6 specialized agents using LangGraph to autonomously perform comprehensive root cause analysis (RCA) of semiconductor test failures. Reduces RCA time from 4-8 hours to 20-30 minutes (target) with >85% accuracy (target).
Enterprise RAG (Retrieval-Augmented Generation) chatbot with vector database for internal knowledge management.
A production-ready Model Context Protocol (MCP) server for JIRA integration. This server enables AI assistants to query JIRA issues and perform searches using natural language.
Autonomous software engineering pipeline for Claude Code: 11 stages, 64 verification rules, 17 codebase intelligence tools, 5 science-backed git analytics. Findings → PRD → verified PR with zero LLM judges.
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