This is where I share real experiences from building AI-enhanced development tools. No hype, no magic. Just what works, what doesn't, and what it actually takes to ship reliable systems when LLMs are in the loop.
What to Expect
I've spent the last decade building production software and the last few years pushing that work into AI-assisted workflows. The AI Lab is my playground for experiments, but I still care about the fundamentals: observability, resiliency, accessibility, and developer experience.
You won't find:
- Breathless predictions about AGI timelines
- Tutorials that ignore production realities
- Marketing speak disguised as technical content
You will find:
- Real problems and how I solved them (or didn't)
- Technical deep dives when warranted
- Honest assessments of tools and techniques
Why Now?
The AI development space is moving fast, and it's easy to get lost in the noise. I want a place to capture what I'm learning in a format that helps other engineers make grounded decisions.
If you're building tools for humans (not just demos for a slide deck), we probably care about the same things.
Topics I'll Cover
- AI-enhanced development workflows: What actually works in production
- System architecture: Designing for reliability when LLMs are in the loop
- Testing strategies: How to validate AI-assisted code
- Developer experience: Building tools people actually want to use
- Team practice: How to ship responsibly with new tools, not just quickly
Let's Connect
If you're working on similar problems or have questions about anything I write here, reach out. This blog is meant to be a conversation, not a broadcast. I'll share what I'm building, and I'll be just as interested in what's working for you.
Looking forward to sharing what I'm learning as I build.
Ben