Scott Swingle
@bio_bootloader
Father of 3, building Mentat (the github native coding agent!) @AbanteAI, prev @DeepMind
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if you haven't tried Mentat for a while... give it a spin
join the mentat party now! a new kind of interactive social experience!
Introducing the Mentat Party Agent. It’s a coding agent running in the cloud that anyone can interact with - without even logging in. I started it with a simple web app with a chatroom and snake. What will it become? Up to you. mentat . ai / party x.com/i/broadcasts/1…
Party chat showcases so much of what makes Mentat unique - Every chat is a group chat - Long running chats - Great mobile site
Introducing the Mentat Party Agent. It’s a coding agent running in the cloud that anyone can interact with - without even logging in. I started it with a simple web app with a chatroom and snake. What will it become? Up to you. mentat . ai / party x.com/i/broadcasts/1…
Introducing the Mentat Party Agent. It’s a coding agent running in the cloud that anyone can interact with - without even logging in. I started it with a simple web app with a chatroom and snake. What will it become? Up to you. mentat . ai / party x.com/i/broadcasts/1…
Code Agent SOTA as of Oct 6th 2025: - Codex in Codex CLI is the smartest and best model. Its endurance and thoroughness are insane. Slow - Cheetah in Cursor is the best pair programmer by far. It is so fast you can voice input and get instant, good changes. Bottleneck is…
Sonnet 4.5 beats Sonnet 4 as the best long code context model Both still in a class of their own!
> The evaluations we ran simply didn't capture the degradation users were reporting, in part because Claude often recovers well from isolated mistakes. we give Mentat agents an "exit survey" to report harness bugs, even if they found a workaround
it's easy to get to 95% or even 100% of code "written by AI". But that's not the same as a 20x speedup! Complex tasks in real codebases aren't yet even 2-3x sped up yet. It's coming. Saying it's here already is premature.
I wrote a blog post about using the same agent to review and write code
solution I came up with: PostToolUse hook, matching Bash, running a script that runs: `gh pr checks --watch --fail-fast` if claude's command contained `git push` or `gh pr create` And if that fails, shows Claude the output makes Claude Code feel a bit more like Mentat
is there a way to make my claude code session wake up when ci fails on github? so I don't have to message it to check ci?
after much testing and tuning, I think this is still the case At least for a coding agent like Mentat, Sonnet handles uncertainty and exploration better, and is more thorough that GPT-5. It's much more expensive and slower though, so there are real tradeoffs
crazy that anthropic has had the best model continuously for over a year now
feels like a lot of these ideas will simply work now that we have powerful in-context learning AlphaGo needed RL because we didn't have a generally intelligent base. Now models can start teaching themselves
In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit…
after tons of testing with Mentat: Sonnet: Great default behavior, but ignores a lot of prompts. Needs strong pushes to change behavior GPT-5: Super steerable. Actually does what I say! But I have to tell it what to do more Depending on use case each can be good
every day at midnight do all of OpenAI's api prompt caches invalidate simultaneously?
whoa OpenAI is giving GPT-5 on the API a prompt before the one I set?? they give it: - instructions on formatting (which is contradicting my own) - today's date - telling it that it's being used over the API - a bunch of other stuff not cool
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