Ran Yitzhaki

nice

one day you wrote console.log("here") for the last time and didn't even know it

Give your agent a way to verify its work. This can dramatically improve the quality of output. With this process in place, Claude Code was able to write 90%+ of its code itself. When generating software at a faster rate than you can review it, the bottleneck shifts to proving that it works. @bcherny and team invested enough in verification, we've been able to move fast while maintaining stability. Code reviews aren't going away, but you need to think of it differently. One human reading through line-by-line is no longer going to work as a gate, it needs to evolve into a multi-layered verification system, built with fast deterministic feedback loops for your agents. This is where e2e tests, feature maps (as @poteto has been advocating), property tests and multi-agent adversarial reviews come in. These all provide opportunities to catch errors early and fix them before things get out of hand. You don't have enough eyeballs for the amount of code being written so your focus needs to be on product intent, risk assessment and evaluating evidence rather than reviewing code. Delegate the code checking work to your automated tests, scale your approvals based on risk, and turn your test failures into living evaluations. This approach helps maintain speed without losing reliability. Let the agents do what they do best and let you focus on what makes you irreplaceable: judgement, direction, and ownership. We tried to capture how we handle code review and verification in this writeup. Hopefully it's helpful.

If AI can write the code, where do engineers create ✨ value? That's the question @tom_enden tackles in this thought-provoking talk. He explores how the role is evolving, which skills are becoming more important, and what may separate the engineers who thrive in the AI era from those who struggle to adapt. Along the way, Tom connects ideas from influential voices such as @unclebobmartin, @karpathy, @paulg, @abeanstalker, and others to explore what engineering may look like in a world where AI writes the code. If you're trying to understand where software engineering is headed - this talk is worth watching:

the Codex app now has themes choose from some classics like Catppucin, Monokai, and Solarized. or try themes built with some partners from Linear, Notion, and OpenClaw among others. or make your own and share it this was a bit of a personal side quest that i’ve been thinking about for a long time. we’re doing themes a bit differently! a few notes:

sent this to the team today everything great comes from being able to delay gratification for as long as possible and it feels like we're collectively losing our ability to do that