I'm an avid user of coding agents, but there's something I've been struggling to put into words which I think is encapsulated well by these screenshots. these are two PRs to fix the same bug: the first is a +627 / -291 line change, from Claude, the second is a +3 / -2 line change, from Matt, a human (we closed the former and merged the latter). there's a certain coherence in a human's mental model of the codebase which makes some bugs trivial for humans and still really difficult (or token-expensive) for agents. this goes beyond just better memory of the codebase. humans will build a mental map and a probability matrix for which parts of the codebase are most likely to surface a particular bug, given the codebase's coherence, and start by tackling those before going another layer deeper. without matt's contribution we might well have merged the +627 / -291 PR, in turn losing coherence, and becoming more token-dependent as a result. after you lose coherence it's game over. i've found myself pair programming with agents on tiny PRs after a huge amount of independent research / agent swarms to tackle a given problem, and I think this is pretty effective; you can combine the things that agents are naturally good at (parallelization, verifiable problems) with your human coherence. often this results in 15-20 PRs, not all of which get merged.

No exaggeration, this guy might be the best interview in pro sports right now

Breaking, Europe announced their new innovation project to show Tesla who is boss.

@derekmross I got Omarchy Mobile running rootless on top of android! And bonus it can drive an external display

🚨: This is what the AI brain looks like!

Introducing Graphical. It's a simple, powerful, and fun tool to design visual languages, style components, and work with coding agents to create interfaces that look memorable and feel unique. I hope you'll check it out at graphicalui.com!

🇻🇳 Meanwhile in Vietnam What real Environmentalism looks like. India has over a Billion people living there - just imagine if 5% of their population started tidying the Country up….

An engineer that built this 400m-running humanoid robot explained the wild form: ▫️initially designed it with human arm swing ▫️but swinging arms too much put heavy load on shoulder joints, led to overheating (and robot couldn’t finish 400m) ▫️robot invented the new running style on its own (hands held up near face to reduce shoulder load while legs could keep trucking) ▫️per Global Times, “in a simulated learning environment…the team gave the robot continuous rewards, and through repeated iteration on the data it gradually settled into a posture that suited it better.” *** Full read here (fascinating): globaltimes.cn/page/202608/1…