agentic-pipeline

Structured, multi-agent development pipeline

An AI-powered technical interview and assessment platform that conducts real-time coding interviews using speech-to-text and large language models. Built on a scalable microservices architecture with Redis and PostgreSQL, enabling automated candidate evaluation, code assessment, skill scoring, and personalized interview experiences at scale.

Agentic Pipeline for course creation. Mechanical verification, diagrams and house style. Highly parallel with guardrails and UI included. VSCode, Mastra and LangGraph Editions.

HeadMaster — open-source ADLC (AI-Driven Delivery Lifecycle) built on Claude Code. Turns a single conversation into PRD, TDD, Jira stories, code, tests, and a reviewed PR.

Document Intelligence Refinery — agentic extraction pipeline with multi-strategy routing and confidence-gated escalation.

Commando AI: AI-powered project management using Monte Carlo simulation to predict delivery dates with confidence intervals. Multi-agent AI optimizes resource allocation. Automates workflows across Slack, Discord, Google Drive, Notion. Features real-time meeting transcription and intelligent task automation.

Stay Learning Agent Pipeline for Course Creation - LangGraph Edition

Six-agent agentic pipeline for legacy modernization via business logic extraction and greenfield rebuild

⚠️ Consolidated into athlete-profiler → github.com/anil-gorti/athlete-profiler

Pre-flight checks for AI agents — Claude Code plugin with adversary verification, atomic budgets, and tournament-gated prompt promotion.

Agentic job search pipeline: LangGraph + HiTL review + Claude scoring + resume tailoring + MCP server