Shipping NanoClaw Skills as npm Packages
NanoClaw wants capabilities as skills, not core PRs. The maintainers are busy, and skill PRs sit in a long queue. Here is how I ship npm packages that install skills into my fork, and keep install and uninstall idempotent.
Launching NanoClaw Agents on External Hosts
I use NanoClaw as my agent orchestration layer, but not only on local Docker. Here is why I implemented mailbox IO and agent container abstractions, and how these unlock Fly Machines, native process spawn, and the next agent container runtime without forking NanoClaw core.
Extending NanoClaw Without Forking the Host
NanoClaw keeps the trunk small on purpose. Here's how I add a local chat desk, live activity traces, and an admin API as installable skills, and why hosthooks is the extension layer underneath them.
Meet My NanoClaw Agent Team
Four specialized AI agents review PRs, file bugs, and ship code across BeakerStack, Skein, and the NanoClaw packages. Here is who they are, and the GitHub profiles where you can see the work.
Why I Chose NanoClaw Instead of OpenClaw
I wanted agents with real tools and a blast radius I could live with. NanoClaw puts isolation in the kernel, not in an allowlist, and that is why I run it.
Vibe Coding vs Agentic Software Engineering
Vibe coding and agentic software engineering use the same AI. The difference is the scaffolding around it, and with the right controls you can let non-technical teammates build safely.
The 3,000-Line-a-Day Thought Experiment
If a new engineer shipped 3,000 lines on day one, could your team validate it? Why agentic programming makes this normal, and how to be ready for it.
Measuring Velocity in the Age of Agentic Programming
AI agents are breaking traditional velocity metrics. Why output is now the cheap part, and what to measure instead in the age of agentic programming.
Why Observability Makes Agentic Programming More Efficient
Give an AI agent access to your observability platform through MCP and it can investigate a production bug faster than most engineers. Observability is becoming the substrate your agents debug with.
Start SOC 2 Early: How It Speeds Your Audit and Why You Want the Controls Anyway
SOC 2 is easier when you start early, and the controls are worth having regardless of the checkbox. How to build compliance in as habits, not a fire drill.
100% Test Coverage Should Be the New Bare Minimum
For years, full test coverage was treated as impractical. AI-assisted coding changed the economics. Why 100% is now a sensible floor, and what it does and does not buy you.
Observability: Why Your Startup Needs It Before You Need It
Observability is how you understand what your system is actually doing in production. Here is what it is, and why you want it in place before the incident that makes you wish you had it.
From Desktop to Production: Build Environments That Make Engineering Faster and Safer
A lot of a team's speed and safety is won or lost in its environments. Local full-stack dev, ephemeral PR previews, staging, and production, and why each one earns its keep.
The Testing Pyramid: AI Just Removed Your Last Excuse
Teams have always known they should have automated tests. The excuse was that writing them takes too long. AI-assisted coding just took that excuse away, right when you need tests most.
Why It's Never Too Soon to Add Process to Your Startup
Lightweight engineering process is not the enemy of speed. The right habits, added early, make your startup faster now and ready for what comes next.
From Technical Lead to CTO: Making the Leap to Executive Leadership
A great technical lead is not automatically a great CTO. What changes in the leap to executive leadership, and how the right mentorship makes it learnable.
Managing Engineers Is About Trust, Not Perks
Engineers follow leaders they trust with technology. Why the people-manager model fails, and what good engineering managers actually do.