Greg Herlein

Python dominates robotics today. C++ is the serious choice. But I’m starting to think we’ve been sleeping on Go. Here’s why I’m actively exploring it.

In my previous post about Claude Code, I talked about using VS Code devcontainers to safely run Claude in “dangerous mode.” That was great for a typical software project. But what about something harder? What about porting a complex hardware-interfacing library from Python to Go, where you need to deeply understand USB protocols, radio registers, and firmware internals?

That’s exactly what I did with gocat – a Go library for controlling the YardStick One sub-GHz RF transceiver. And Claude Code was instrumental in making it happen.

So I’ve been working on this project called client-w-mcp – it’s a leanring project to truly understand how an AI agent works with MCP servers. And I’m exploring Agentic development - with Claude Code.

Why Claude Code?

The first time I used it, Claude just… flowed. It seems to do a lot more by itself to figure things out. I especially like the Task() so that it can go do more than one thing at a time. It would be bad to try to modify code that way, but to write tests or update docs and not have to wait doing one thing at a time… is wonderful.

There’s a lot of folks who are in outright denial about AI agentic programming. They are wrong. AND… they are right. My thoughts.

There’s no way to really understand something unless you dive into first principles. This is especially true for AI coding agents. What is the editor doing under the hood? I try to peel the onion a bit.

I’ve been exploring the intersection of AI and content creation lately, and I wanted to share my experience using Anthropic’s Claude 3.5 AI assistant within the Zed editor to streamline my blogging workflow.

Reading time: 10 minutes

It’s brutally hard to find a job as a new college grad today. And AI is changing things even for seasoned Engineers. Here’s my advice.

The evolution of AI-assisted programming has reached a pivotal moment, transforming from simple code completion to truly collaborative AI agents. This shift represents not just an improvement in tooling, but a fundamental change in how software is developed.

UPDATED: On Ubuntu 24.10 just installing using apt “just works.” This workaround no longer needed.

How I mapped some basic keys to be the same on MacOS and Ubuntu and saved my sanity. UPDATED! UPDATED AGAIN!