AI still makes mistakes when coding. However, for simple fixes or features do you bother switching branches and testing locally before creating a PR or pushing to production? Or do you just ask Claude for a fix, review quickly, then push? I saw an interview with Peter Steinberger (creator of Openclaw). Where he mentions he always pushes to main and almost entirely vibe codes. If you look at his contributions, you see how fast he ships. Do devs need to be more trusting?
Both AirPods Pro 3 and Ear (3) launched this month. I m curious what folks would get? I really like the design of Ear (3) and I can see myself using the Super Mic on the case a lot but . From seeing all the reviews on the AirPods Pro 3 it seems that their quality of sound, ANC, and microphone is better. So might have to pick those as the winner for me. What does everyone else think?
I'm at my first PH launch today, and stumbled upon a question I thought could have been interesting to share. I'm sorry in advance if this sounds like a noob question to product experts, but that's exactly what I currently am :D
So my company just launched Bench for Claude Code here: it's an observability tool that logs, stores, and lets you share everything your Claude Code instances do.
I see this platform succeeding in moderating discussions and communities in general. When the platform succeeds, individuals succeed too (and vice versa).
I believe that everyone can make friends here and contribute to a strong, supportive community.
With improved generative models now being widely available, we re reaching a point where we can get full front-end code and simple functioning code for apps from a single prompt. What are the factors that determine whether development roles can be replaced by models? What s our added value as humans?
