will harris

Absolutely insane week for agentic engineering 37K LOC per day across 5 projects Still speeding up

The best part is that the America that Japanese people adore the most… is the same one that coastal elites call “flyover trash” They’re not autistically LARPing NY cynicism or SF polycule / LA wellness culture. They’re drawn to the heartland of the American South and all its trappings - the jacked-up trucks, backyard BBQs, country radio, big skies and the friendly "yes ma'am" drawl.

your company’s ci/cd pipeline.

there was a moment in 2023 when your team was using Figma, Linear, VS Code, Typescript, React 18, esbuild or Next.js with the pages router. Peak software in every category. wonderful stack. you were young and happy and in love

would you rather: - have $10M today - have chatgpt in 2012

Okay let's see who can reply to this

Engineering job openings are at the highest levels we’ve seen in over 3 years There are over 67,000 (!!!) eng openings at tech companies globally right now, with 26,000 just in the U.S. We don’t know if there would have been more open roles if not for AI or if AI is actually leading to more open roles, but since the start of this year, the increase in open eng roles is accelerating even more.

I need a GitHub too! Is it like that or nah?

Terence Tao put it plainly: there is no evidence that LLMs exhibit genuine creativity. Yes, they have solved some Erdős problems. But these are low-hanging fruit, questions that attracted little attention and that yield once the right existing techniques are applied. That is not creativity. That is search plus recombination. Yes, LLM outputs can look impressive. But look at who is impressed: typically non-experts. Experts know very well that LLM performance gets terrible when you approach the frontier of human knowledge. And this is not a temporary gap. It reflects a structural limitation. We do not fully understand human creativity. But we do know a key property: Conceptual leaps: the ability to generate new representations, not just recombine existing ones. LLMs do not do this. They interpolate in representation space. They operate within existing conceptual frameworks; they do not create new ones. This is why we haven’t “yet seen them take the next step”.

I need a GitHub too! Is it like that or nah?

This cannot be Atlanta, I was told there's no demand for walkable neighborhoods in the metro area.

Atlanta has magic in the air ✨

I didn't drink at my birthday party so I could start crushing PR's all day today. I have 99 PR's to work through from the community, but a hangover aint one First big feature of the day: a chief security officer to audit your attack surface (informational only, please hire a pentester for real production code and mission critical situations!)

The invisible Glass experiment Scientists once placed a transparent glass barrier inside an aquarium. On one side was a fierce pike, and on the other side were several smaller fish swimming freely. When the hungry pike saw the smaller fish, it immediately rushed forward to attack. Bang. It slammed straight into the glass and bounced back. Confused, the pike kept trying again and again, but every attempt ended the same way. The repeated collisions injured its head and knocked off some of its scales. Eventually, the pike became frightened and retreated to a corner of the tank. After some time, the scientists quietly removed the glass barrier. The smaller fish now swam freely throughout the aquarium, even brushing against the pike’s mouth. But the pike never tried to eat them again. Even though it was hungry, it refused to attack. In its mind, the invisible wall was still there. A few days later, the pike reportedly died of starvation, surrounded by food. This phenomenon is often referred to as the Pike Effect or Pike Syndrome. It’s often used as a metaphor for how repeated failure can create invisible limits in the mind.