Portfolio

Projects

Azure-native DevSecOps and Agentic AI projects — from self-healing pipelines to autonomous multi-agent platforms powering production deployments.

Autonomous Agentic AI for Self-Healing Azure DevOps Pipelines

Built a fully autonomous agentic AI system using Cursor, Claude, and MCP Agents that monitors, detects, and auto-remediates issues in Azure DevOps pipelines. Powered by custom agents.md and rules files for consistent behavior. Integrated with Azure Security Center and Azure Monitor. Reduced mean-time-to-recovery by 85% and eliminated manual security reviews.

Azure DevOpsAgentic AIMCP AgentsDevSecOps+1

GitHub Case Study

Cursor + Claude + MCP Agents Mastery for Azure Development

Complete framework and guide showing how to supercharge Azure DevOps workflows using Cursor AI editor, Claude 3.5/Opus, and MCP multi-agent orchestration. Includes ready-to-use agents.md rulesets that automate infrastructure provisioning, security scanning, and compliance checks on Azure.

CursorClaudeMCP AgentsAzure DevOps+1

GitHub

Rules & agents.md — The Secret Sauce for Production Agentic AI on Azure

Deep dive into structuring AI agent behavior with simple .md rule files inside Azure DevOps repositories. Demonstrates how these rules enable reliable, auditable autonomous agents that handle complex DevSecOps tasks without constant human oversight.

Agent Rulesagents.mdAzure DevOpsMCP Agents+1

GitHub Case Study

Trending: Self-Orchestrating Agentic AI Platforms for Azure DevSecOps

Next-generation autonomous agent platform that turns Azure DevOps into a self-orchestrating DevSecOps environment. Agents proactively scan code, enforce policies, optimize costs, and deploy securely using Azure OpenAI + Azure Functions + GitHub Actions + Azure Pipelines. One of the most advanced agentic AI implementations in production today.

Agentic AIAutonomous AgentsAzure DevSecOpsTrending 2026

GitHub

Azure DevOps AI Co-Pilot Suite powered by MCP Agents

Suite of specialized MCP agents that act as an intelligent co-pilot inside Azure DevOps — auto-generating pipelines, writing IaC, running security reviews, and suggesting cost optimizations in real time.

Azure DevOpsMCP AgentsAI Co-PilotIaC

GitHub Case Study

End-to-End Autonomous Release Pipeline with Agentic AI on Azure

Zero-touch release pipeline where agentic AI agents handle everything from PR review to production deployment, including dynamic security gates and rollback decisions. Built entirely on Azure-native services.

Azure PipelinesAutonomous AIDevSecOps

GitHub

Azure Infrastructure Sentinel — AI-Powered Cloud Governance

Intelligent infrastructure monitoring agent that continuously audits Azure resources for compliance, cost anomalies, and security drift. Uses Azure Policy, Defender for Cloud, and custom MCP agents to auto-remediate misconfigurations before they reach production.

Azure PolicyCloud GovernanceMCP AgentsSecurity

GitHub

Multi-Agent DevOps Swarm — Collaborative AI for Azure Pipelines

Experimental swarm intelligence framework where multiple specialized AI agents collaborate to solve complex DevOps challenges — from incident response to capacity planning. Each agent has a distinct role defined via agents.md, and they communicate through a shared Azure Service Bus.

Multi-Agent AIAzure Service BusSwarm IntelligenceDevOps

GitHub