Aha!

Implementing a design system at scale is often less about the pixels and more about the language we use to describe them. As a Senior Software Engineer at Aha! I've spent a lot of time thinking about how we can build a UI that is not only beautiful,

One morning, a developer announced in our Slack channel that some tests were failing on our main branch. The cause of the failures was not obvious. No recent PRs seemed related, and neither the code nor the tests had changed in a long time. The test

I was chatting with fellow developers recently, and one thing that repeated during the conversation was something along the lines of,

If you used an LLM to write code you shipped a month ago, how well do you remember it? Would you realize if the code you committed today would break it? If a customer reported a bug, would you quickly think, "Oh, I know what that is" in the same way

Disclosing my murrsuit on a Google Pixel 11 Pro XL. Android checkin endpoint, DroidGuard bypass, device taken apart in CA. All for dogfood.

Every seven weeks or so, each Aha! engineer takes a week of support rotation. I caught myself doing something dumb during my last one. A ticket came in. I clicked over to our production log viewer, narrowed the time range, and started piecing togeth

Aha! CTO Chris Waters explores why coding with LLMs can feel exhilarating - and why engineers need more reflection, responsibility, and discipline as the pace of building accelerates.

Late last year, the Aha! Develop team added support for team line-level reporting. During a team demo in the run-up to the release, we discovered one of our internal sprint reports was taking 15 minutes to load, almost freezing the browser in the p

Learn about the architectural trade-offs of picking a stack for AI-generated code: Ruby vs. TypeScript, token efficiency, conventions, and more.

We ripped out the mature React framework powering this website and built our own mini framework with a few handcrafted files. By most accounts, that's the last thing you should do. But it reduced the amount of JavaScript and JSON data loaded by 90%