BREAKING: github is currently experiencing unplanned uptime

codex running inside the cloud my team already uses cuts a lot of setup friction. now i want to move the same task between providers without losing the branch, permissions, usage history or review state. model access is only half the job.

I like @UnstoppableWeb’s multi-agent workflows. You can chain together prompts & scripts to automate your entire dev lifecycle. I save so much time with a code review loop that cleans up PRs with both Claude & Codex. Plus you can use OS models for free.

You can use Codex for free with Unstoppable when you download the app: app.unstoppable.ai/code?utm_… #ad

Interesting approach from @unstoppableweb Their IDE lets you run Claude and Codex together in code review loops, customize multi-agent workflows, and switch between agents in one place The cross-agent code review is what caught my attention

cooking up 🔜 multi-device remote control 🕹️

usage caps are part of task scheduling now. before I start 3 agents I’m checking which account resets first and which task can survive getting cut off halfway through. very senior behavior tbh

pointing Codex at the SDK is a pretty great onboarding flow. now I want to see a plugin with auth, background work and state that has to survive more than one turn. that’s where these usually get weird.

this fixes a very specific annoyance: a Claude session can leave three questions open in three different parts of the transcript, then you get to play archaeology before it can keep going. an inbox that survives resume and checks things off as they’re resolved is a great idea.

I'm really enjoying the Unstoppable IDE 🚀 The @unstoppableweb IDE lets you bring your own Claude and Codex subs, then run review loops with both agents on the same change. Better than trusting one model to review the change. You can switch between Claude, Codex, and Cursor in that IDE, with the terminal and browser there too. Planning, bug fixes, and review stay in one place instead of three apps.

$400k of codex and five months vs $20k of opus and two weeks is crazy. but the second run inherited five months of repo state, tests, failed approaches and a much sharper definition of done. I’d love to see what changed before opus took over.

Codex & Claude Connector for better efficiency The purpose of this video is to show what tool is given to you, and it can help you from a newby in digital that deployed his first web site online in June 26

A lot of people ask me about being able to connect another server to farm out agent work to while you use your laptop as your daily driver this is something our team hacks together now and we're working on launching this inside @unstoppableweb soon we're building out our cloud infra to support dev workloads moving to the cloud, but in the meantime putting your mac mini or old laptop to work is a very cost effective solution. stay tuned!

Remote control just shipped to @unstoppableweb mobile app Now you can keep your PRs moving, even from the toilet

This entire thread is people asking cursor to allow bringing their own subscriptions Even wise news, you won't even be able to use OAI models at API pricing starting mid November The solution is pick an IDE where you won't get locked into a provider and you can use everything at once

One handy @unstoppableweb feature I love - I hit my Claude 5h limit and it continued on with Opus seamlessly using my Unstoppable AI credits. Just another reason it pays to stack plans and not get locked into a single ecosystem

Open four worktrees and paste one of these into each: "Add dark mode to the settings page." "Write API tests for the billing endpoints." "Fix the flaky login test." "Review yesterday's PR and list what you'd change." Each agent gets its own worktree, so the four run at once and the changes stay apart. You come back to four diffs to review.

12 months of progress on the jagged frontier: 1) AI got spikier, not rounder. 2) Maths, fluid reasoning, expert work: past human level. 3) There is almost no middle ground. Once a capability crosses human level, it often quickly becomes 100x+ cheaper than a human. 4) Cost keeps decreasing after capability increases stop. Language and knowledge look saturated but price keeps falling. 5) The gaps are not a budget issue. Human-level memory, self-monitoring and long-run planning are not for sale at any price. AI is now a superhuman specialist that is sub-human at running itself.