Nimo 🏳️‍🌈

Anyone figured out how to enter a flow state while using agents? Still seems like an open challenge.

This is an excellent report on why full RSI / an intelligence explosion is fighting diminishing returns on many fronts, and not yet showing signs of happening. Really recommend reading. I wish I wrote it. While I agree with it, it could end up being wrong! www.noahpinion.blog/p/wheres-the...

Therefore its imperative that we serve cunt while we do it

Why do models still default to ThreadPoolExecutor over asyncio? Am I missing something?

Having tried a large-scale migration (Vite + FastAPI → Next.js), it seems like models struggle to generate idiomatic code when given an existing implementation with very different idioms Wonder if it would work better to generate a spec and implement that without ever showing the old implementation

A lot of AI tools feel kind of “top-down” in that they give you a whole bunch of stuff at once that you just have to trust to work well. I much prefer working in a bottom-up way, adding things only when I feel a concrete need and I feel confident in the way the tool satisfies that need.

Border radii are my passion.

This is really cool! It keeps secrets out of agents hands by swapping them in at the network boundary. Even without a sandbox this is an upgrade since a lot of secret leakage seems to be agents accidentally reading files and they shouldn’t rather than intentional prompt injection.

I'd skip the Fable hook at the start, but I really liked the rest of this video. It's worth being conscious of the way AI coding tools make it harder to stop when you need to. youtu.be/iPUn1Fnfn0k?...

I have a lot of web dev and TypeScript people in my feed, but I think I want to diversify into Python a bit more! Who should I follow?

When the weather gets hot, please take special care for the goths in your life. With their floor-length coats, platform shoes, and velvet capes, it’s hard for them to thermoregulate as we do.

outsourcing: They do task, you think and worry delegation: They own outcome, you build feedback loops this is a note to myself

I’m impressed by the polish of the OpenChamber iOS app (in TestFlight). So far it’s been even better than the desktop app! testflight.apple.com/join/5ek6GU1E

I'm really looking forward to the next hillclimbing problem I have to solve.

Are there any polished, open-source iOS apps for interacting with agents generally? Doesn't matter what harness

A good thing about usage limits in coding tools is that it forces us to be aware of the different costs of models. It's still hard to pick the right model for the right job, but at least we have an incentive to do so now.

I knew Fable was token-inefficient, but didn't expect it to use 400K tokens and 20 minutes just to create a PLAN for a migration. That's like 3x the total tokens of my entire codebase, including dependencies...

I’ve moved my agent skills from a GitHub repo to my Obsidian vault. Git has felt too heavy for working with some simple Markdown files and Python scripts, and it’s so nice to have them auto synced across devices.

Treating myself to a hit of the ✨ new tools ✨ drug during my work break. So far: Claude Code → OpenCode + OpenChamber Notion → Obsidian Cursor → Zed

The last time I tried @zed.dev (like a year ago) I think wasn’t happy with the polish on some of the AI features. Now that I’m using separate apps for AI, I just want a fast and good text editor. Maybe it’s time to give it another try.

Yeah, this just changed my view. Starting from scratch risks building the wrong thing, whereas other companies can be a good proxy for what you want to do. simonwillison.net/2026/May/6/v...

this to me is what makes human intelligence so useful/valuable

The Last Software Engineer www.epicproduct.engineer/the-last-sof...

I’m interested in “is AI+(Human expert)>AI>HE” for that half. Ie in which areas are we relevant as team members and how.

Can I already watch @danabra.mov’s talk from #atmosphereconf anywhere?

I really want to make a thing that you can point to a random poorly documented API and figure it out by trial and error. Then write the docs and self-evaluate ability to use the API with docs; repeat. Needs a good resettable sandbox env but would make APIs much more usable for AIs and humans.

With all these tracking apps on atproto I think the time might be ripe for an aggregator “tracker of trackers”. See what you can learn when combining all that data. And the open data protocol makes it possible.

Apparently Google is blocking Gemini requests from Claude Code on web. So I guess I either have to switch to Jules, or switch my Gemini requests to Claude. It's pretty clear which has the bigger moat though 😅

Booked tickets for AIE World’s Fair in SF this summer. See you all there 😎

Back on that virtual try-on shit ✨

This looks cool! I’ll be there 🌊

Interesting to see that Rust is still harder for LLMs than other languages, and this matters on hard tasks! It’s not automatically the best choice when you need something fast and reliable.

From subjective experience, Sonnet now feels just as slow as Opus. Maybe not in raw tokens, but in outcomes. I’d love to see model labs start measuring this more.

I'm afraid I'm going to be reposting this every day until the far side of the singularity. Work on the things you want to see more of! Work on flourishing! Work on things that are freeing!

This is so awesome. The fact that I can turn my expert coding agent into a really good teacher by dropping some files in a folder is just wild.

Let’s make some virtuous software today