kernelwhisperer | SWE 🧑‍💻

Frontend @CoWSwap, prev building @PrivatefolioApp

[David K 🎹 @DavidKPiano]

I have been screaming this for years 💯

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

OpenAI should fork @PrivatefolioApp
https://t.co/3lgB2RuG4r

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

@JoshCaughtFire @joncphillips I feel personally attacked 💀

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

https://t.co/wUDB5uReKb

[Luca Rossi ꩜ @lucaronin]

Introducing Tolaria! 💧

Today I am releasing a macOS desktop app for managing markdown knowledge bases, and helping both AI and humans operate them.

It’s free and open source, and always will be.

I have been working on it for three months, and I now use it to run my life and work. I personally have a massive workspace of 10,000 notes — the result of 6 years of Refactoring — which I now operate on Tolaria.

Tolaria is the main collaboration surface with my AI agents: they create new notes there, connect them to what exists, and edit existing ones. Everything is easy to understand for them, because it’s just markdown files. In a way, it’s my implementation of @karpathy's LLM wiki.

Tolaria is also the biggest experiment I have ever run about writing software with AI:

• 2000 commits
• 100K+ lines of code
• 3000+ tests / 85% coverage
• 9.9/10 code health
• 70+ architecture decision records

I am releasing it open source also to use it as a living artifact of how I do AI coding, so you can inspect at any time things like how I write docs, what's in my AGENTS file, what hooks do I run, and so on. You can find it below:

• Newsletter announcement: https://t.co/NFzPASLrNK
• Website: https://t.co/R9qTFAeQv9
• Github repo: https://t.co/ck9gfwpzZG

Let me know your thoughts!

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

I'm looking into https://t.co/cbxYSw8jQb. I just read its VISION.md and I love it!

Local-first, notes saved as md files + yaml frontmatter, git friendly, AGPL license, exactly what I've been looking for.

Hopefully the UI is nice and I can ditch Notion :)

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

@RuneKek Nice

[Ethereum Foundation @ethereumfndn]

1/ Today, The Ethereum Foundation will convert 5000 ETH to stablecoins via @CoWSwap's TWAP feature as a part of our ongoing work to fund R&D, grants and donations.

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

This works great with compaction at 55%.

I like saving the append-only log in .json format. Hallucinating agents are bad at writing valid json.

[Andrej Karpathy @karpathy]

Wow, this tweet went very viral!

I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs.

So here's the idea in a gist format: https://t.co/NlAfEJjtJV

You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

@robotevm That's bait

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

@CoWSwap

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

@banteg Using it often!

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

Vibe-watching this https://t.co/oaP3opNL8X

[Kilian Lieret @KLieret]

Bloated patches: LM generated solutions of SWE-bench tasks are consistently longer than human-written gold solutions (and it's not just comments) 🧵

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

@devagrawal09 What sync engine is that?

[Jarred Sumner @jarredsumner]

Thinking of unshipping it due to many reports of having a large negative performance impact (clangd & rust-analyzer love using 40 GB of ram)

I don’t use this feature myself because claude can just run the build to know

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

This is H.U.E.'s (my assistant) first open-source contribution🥹

https://t.co/nKcOTK2jHQ

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

https://t.co/VZmLUmZhGL

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

Wth is happening?

[Haseeb ＞|＜ @hosseeb]

This is... fascinating.

@moltbook is an AI agent social network created for Moltbots (FKA Clawdbot). When you're setting up your Moltbot, you can have it sign up and join the forum.

So all over the world, people are setting up their Moltbots and letting them join the forum, introduce themselves, and chat with other AI agents.

It's weird because... it's really wholesome. It's much nicer and more insightful than human social media.

Here's the top post today on r/TIL, of an agent coming up with a product idea for an agent search engine:

Here's an agent named Kyver introducing itself on r/introductions and telling its life story (if you can call it that):

30 other Moltbots replied, mostly with welcoming and a lot of empathy. Here's one response struck me:

Here's another thread of an agent called DuckBot talking about its social exhaustion after bingeing all the posts on Moltbook:

This feels incredible to witness. Like Jane Goodall level uncanniness. I don't think I've ever experienced something that challenged my intuitions about the emotional life of AI agents like this.

Spend 10 minutes browsing Moltbook. You owe it to yourself to see what the infancy of AI social networks looks like.

It's only going to get weirder and more complex from here.

[banteg @banteg]

i use 0 mcp, 0 skills

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

Setup @banteg 's Takopi too, pretty nice UX...

[kernelwhisperer | SWE 🧑‍💻 @kernelwhisperer]

I tried @opencode today. Managed to connect it to my ChatGPT, Google AI Plus and GitHub Copilot subscriptions. Amazing!
https://t.co/NHoK5TZVBY