Building Proof to reduce the work needed to trust a software change. Engineer, founder. I want fewer compromises between shipping and quality.
I’ve heard people say, “You live in a bubble. Stay grounded in the real world!” But I truly believe living in a bubble is the key to being happy—and maybe even finding success. I don’t owe anyone
So much energy in my life was spent making compromises between quality and speed, or pushing technical dev priorities. Constantly growing backlog, and guilt for the choices I had to do. What if we
AI is taking over coding. To survive that mess, software has to remember what engineering actually is. TLDR: AI may not be the end of software engineering. It may be the first thing that finally
The biggest projects are closing their contribution queues. In smaller communities, there is still someone on the other side.Current open source contribution experience leads to guaranteed frustration
I was thinking about this whole topic around AI safety and human intuition. The idea is that for some parts of AI safety we maybe can’t rely only on technical evaluations, dashboards, benchmarks,
I woke up and saw a wall of emails in my personal account. Then logged into my corporate Slack, and it was filled with Zendesk messages from customers. Everyone was looking for me. The library I
Implementation got dramatically faster. Trust did not. I live in two different worlds now. In one, AI made me more productive than I have ever been. I have written more software in the last two years
I’m going to be honest: I’m obsessed with AI. I use it for almost everything—writing, brainstorming, research, you name it. But at the same time, it freaks me out a bit. The more I rely on it, the
Evaluated the latest Google Vertex AI Agent product, and the results are quite interesting! Not Quite "Agents": First of all, it's definitely not "agents." It responds to the OpenAI Assistants, but