Weekly deep dives on context engineering, agent architecture, and building software that builds itself.
Senior Software Engineer @ Microsoft (GitHub · Copilot Ecosystem)
I build agentic systems — software that doesn't just assist developers, it collaborates with them. My work lives at the intersection of context engineering, agent governance, and platform architecture.
By day, I work on the GitHub Copilot ecosystem at Microsoft. By night, I run a 43-agent AI home assistant that manages my family's entire life — calendars, meals, finances, health tracking, content creation, and more — all powered by GitHub Copilot CLI.
My core thesis: Make the right thing to do the easy thing to do — for humans AND agents.
I write about what I learn, ship the tools I build, and teach the patterns that actually work. If you're building with AI agents, you're in the right place.
I create content at the frontier of agentic software development. Here's what I write and teach about:
| Pillar | What It Covers |
|---|---|
| 🧠 Context Engineering | Prompt architecture, memory systems, skill files, and making AI agents actually useful |
| 🤖 Agent Skills & Architecture | Multi-agent orchestration, delegation patterns, agent-to-agent communication |
| 🔌 MCP Ecosystem | Model Context Protocol servers, tools, and integrations — including turning your phone into one |
| 🪝 Extension Architecture | Copilot hooks, extensions, governance layers, and guardrails for safe AI coding |
| 🔒 AI Governance | Safe agentic development, content signing, approval workflows, human-in-the-loop patterns |
| ⚙️ Platform Engineering | GitOps for AI, infrastructure-as-code for agent systems, CI/CD with AI in the loop |
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- [AI Harnesses: Why DevOps Principles Are the Missing Piece in Agentic Development](https://htek.dev/articles/ai-harnesses-devops-principles-agentic-development/) — DevOps gave humans CI/CD, IaC, and observability to govern software delivery. AI harnesses give agents the same — and they matter more than model choice.- [The 7-Layer AI Governance Stack: How to Actually Control Autonomous Agents in Production](https://htek.dev/articles/7-layer-ai-governance-stack/) — Everyone's building AI agents. Nobody's governing them. Here's the governance stack from a 53-agent system running autonomously for 6 months.- [GitHub's New Billing Model Changes Everything About Agentic Development](https://htek.dev/articles/github-copilot-billing-harness-engineering-cost-control/) — Usage-based billing means long agentic sessions now cost real money. Harness engineering — hooks, delegated agents, and model routing — is how you control it.- [53 Agents, Zero Chaos: The Multi-Agent Orchestration Patterns That Actually Work in Production](https://htek.dev/articles/53-agents-zero-chaos-multi-agent-orchestration-patterns/) — Every multi-agent demo shows 3 chatbots in a loop. Here's what happens when you build a 53-agent system that runs a real family's life for 6 months.- [53 Agents, Zero Chaos: The Multi-Agent Orchestration Patterns That Actually Work in Production](https://htek.dev/articles/53-agents-zero-chaos-multi-agent-orchestration/) — Everyone demos 3 chatbots in a loop. Here's what orchestrating 53 production AI agents actually looks like after 6 months of daily use.
Languages
AI & Agents
Cloud & DevOps
Frontend & Frameworks
