Creative & Experimental
Generative art, AI fiction, and projects that started as side-quests.
Business
Career, freelance, startups, and the economics of a technical practice.
AI & Machine Learning
Agentic patterns, Copilot workflows, MCP servers, and ML pipelines.
Taming Agent Memory and Context Drift
An agent with no memory reinvents the wheel every time. An agent with bad memory builds on broken foundations. Domain 3 tests your understanding of how to ma...
Orchestrating Multi-Agent Workflows on GitHub
One agent is powerful. A coordinated team of agents is transformative. Domain 5 tests whether you can design that team and keep it running.
MCP Servers and Agent Tooling in Practice
MCP is the USB-C of AI tooling — a standard connector that lets agents speak to any external system. Here's how to use it on GitHub.
Launching the Agentic Codex: A GH-600 Learning Track for the IT-Journey
We built 20 quests, 7 posts, and 8 reference notes covering every skill measured in the GH-600 exam. Here's the map.
Evaluating and Tuning Agents with GitHub Signals
You can't improve what you can't measure. Domain 4 tests whether you can define what 'done' means, detect when it isn't, and systematically get better.
Embedding Agents in the SDLC: From Tool to Collaborator
Agents aren't just IDE helpers anymore. They can plan, implement, review, and deploy. The question is: where does human ownership end and agent autonomy begin?
Agent Guardrails and Responsible Autonomy: The GH-600 View
Autonomy is not a binary. Every agent operates at a level, and every level carries different risk. The question isn't whether to use guardrails — it's where ...