Reading up on GitHub

A few updates to scheduled tasks in ChatGPT Work on web and mobile: Plus and Pro users can now set tasks to respond when something changes in Slack, Gmail, and Github, rather than just run on a set schedule. We’re also rolling out scheduled tasks in ChatGPT to Free users, who can create up to three tasks. You can also now share your favorite tasks for others to customize and use.

@ChatGPT

Don’t code alone. Slack Code is live. Humans and agents. Same channel. Same work. Launching today with agents from @AnthropicAI, @github, @Cognition, and @vercel. This is real multiplayer coding. See it at @Dreamforce #DF26

@Benioff

is it time to switch off github actions? what are the best alternatives?

@thdxr

I've been keeping a daily journal for the past ~10 years. Last year I moved everything into Notion. This year I've been steadily adding enrichment automations to fill in a daily recap with meetings from that day, people I met with, highlights from work, and things I read (syncing data from all my main apps). Everything connects nicely with other stuff in my Notion workspace, too. For example, if the automation sees I met with someone new that day, it adds them to my People database + kicks off an enrichment process to pull an avatar, website, x/linkedin/github profiles, etc. — like a little self-populating contacts list. Together, this adds a lot of texture to every journal entry + adds cues for me to journal about by hand. Anyways: connected tools + automations + a great writing surface are pretty great, highly recommend.

@brian_lovin

Better annotating screenshot tool coming to Omarchy Quattro. https://github.com/tobi/omasnap

@tobi

we're trending on GitHub!

@ellie_huxtable

this is f**king insane a free github repo by Jack Dorsey (Co-Founder of Twitter) with 14.4K stars just dropped the entire "ai-agent" framework for running businesses here is how you set it up: 1.clone the repo 2. self-host the server : channels, search, git, automation all live there 3.add your agent to a channel like a teammate, scope its key, let the team steer it live save and bookmark this no matter what

@Av1dlive

we're launching BUZZ! a new groupchat platform for teams of people and agents of all sizes, built to reduce our dependency on slack and github. model-agnostic, decentralized, self-sovereign, and open source. 🐝 https://buzz.xyz

@jack

Introducing OpenSEO, the open source alternative to Semrush and Ahrefs. I started building it out of spite because the existing tools were too expensive, bloated or scammy. Since then, we've gotten 4k stars on Github and are launching on Product Hunt today. Hope you support!

@bensenescu

I shit on github often enough so it's also fair for me to say that stacks seem really cool! appreciate them listening to users and implementing what we asked for <3

@ellie_huxtable

A few months ago my kids started vibecoding little web games with Cursor and wanted their friends to play them. GitHub Pages was fine until the games needed real backends, so I hacked together a setup where each game was a folder in one repo that deployed to a Hetzner box on every push. That held up until we shipped FULL SEND for Vibe Jam 2026 and it took off with 38,000+ players. The duct tape needed to become something real, so I rebuilt it properly and pulled it out into its own project. It turns one Linux server into a push-to-deploy host for many apps. The whole thing is a single Go binary that installs and drives Docker, Kamal, Cloudflare, Tailscale, and GitHub for you. After that: - Each app is a GitHub repo. - A git push is live in <5 seconds. - Deploys are zero-downtime. - Each app runs in its own container. - Automatic Cloudflare DNS and TLS tunnels. - SQLite-aware backup and restore. It's deliberately single server using convention over configuration, so for a typical app there's no YAML or Dockerfile to write. The idea is that one decent VPS can reliably run all your projects without per-app bills or piles of infra config. It's built on top of Kamal, so it's basically a Kamal wrapper for the "lots of apps on one server" case, with the Cloudflare, Tailscale, DNS, and backup glue wired up by convention. Setup is one interactive command on a fresh Linux box, which walks you through connecting everything. If you also have a bunch of projects you want to run on a single server, tell your Claude Code, Codex, Cursor, or favorite AI agent to grab a VPS and try it for you. It's fully open source and you can customize it to your liking:

@dvassallo

drowning in agent prs? watch videos instead! swap github dot com with http://pr.video to generate a video for any pull request.

@vinvan

just ran Claude Fable 5 over @37signals open source Rails code again extracted all the key insights for writing @dhh-like vanilla Rails into reusable guides and skills just drop it in your skills folder and your AI agent will automatically reference it https://github.com/marckohlbrugge/37signals-skills

@marckohlbrugge

My ideal agent harness: - Works on my iPhone - Connects to GitHub - Runs on a schedule - Sends me UI screenshots with changes it made - Can set system prompts for each project - One long-running chat with a “manager” agent that dispatches subagents for each task - Can use both Claude and Opus models - Smart context management; chats should compact automatically What should I be using?

@mernit

This is why PR diff speed matters. This isn't a dunk on GitHub specifically, because GitLab, Forgejo, etc. are all equal or worse. But this is the kind of thing that drives me nuts, because this is a core workflow and its slow enough I literally take my hands off the keyboard. Btw, when my mouse jiggles on the left, its because the page is literally skipping frames and I'm instinctively shaking my mouse to see if it'll respond. And on the keyboard input you can literally here me finish typing before a letter even shows up. For someone like me who is an expert at these tools, my brain navigates the tool dramatically faster than it can keep up, and that is not good. The tool should not get in the way.

@mitchellh

Tough day for folks (DM me if I can help!) but if I found myself suddenly laid off from a company that cited AI as a cause, this is what I’d do: - download codex and Claude/code - say: “this was my job and how I spent my day, how can you help me automate it w skills” - push a dozen of those skills to GitHub - open up Claude design and make a portfolio site, with an “agent” per skill explaining how you built it, what tools it interacts with, etc.” give to lovable or v0 or whatever to publish - post that site and link to GitHub on LinkedIn - search “ai for <job>” and try all the new startups, form an opinion, message their founders - try something scary like openclaw, form an opinion - take a course in tactical AI in your field - build, share, build The gap in AI adoption is getting bigger. Start reskilling now while it’s early. The time is now.

@clairevo

I have a draft blog post swirling around this exact topic (but not refined enough to publish yet). I think the key thing is I (personally) don't want a NEW GitHub. I want GitHub to be better. For example: - GitHub issues should be as beautiful and good as Linear - GitHub PRs should be as good as Graphite - GitHub Git infra should be as fast/minimal as Pierre - GitHub wikis should be more like Notion - GitHub discussions & shouldn't exist (multiple "better issue" providers including Linear show why) - etc. I'm not saying to clone those full companies outright, but their core product, arguably the core features, aren't even 2% as good as those external products. Maybe aim for 10% to start. There's the "oh no there's so much tech debt" argument. And I'm sure GH is on an absolutely mountain of tech debt. That's why in my prior twoots I've argued to just make them separate products to start only for agility reasons, unapologetically do not integrate with "old github." Net net startups beat encumbants all the time for reasons. That's just a product/technical POV though. GitHub also has a huge PR/marketing problem. They talk through corp speak, their marketing pages (e.g. the dot com) speaks to multiple personas confusingly, they have no singular visionary to look up or trust, they have nobody who makes the outward community feel seen. There's so much more here... I think for the human side, GitHub already has what it needs to be really, really, really good. It really feels like they just like fearless vision, and the courage/power to say "fuck you" to a whole lot of things that are distracting them.

@mitchellh

Built clawsweeper, which runs 50 codex in parallel around the clock, scans issues/prs deep and closes what is already implemented or what makes no sense. Closed around 4000 issues today, a few thousand are in the pipeline. (rate limits are rough) https://github.com/openclaw/clawsweeper

@steipete

Claude Code Routines are here! In addition to a schedule, you can now trigger templated agents via GitHub event or API – with our infra & your MCP+repos They've changed how we do docs, backlog maintenance and more internally at Anthropic Get started at http://claude.ai/code/routines

@noahzweben

Excellent. This is exactly what GitHub should’ve done 2 years ago. Be a partner for the AI consumption, not a competitor. This is what I’m yelling into the void about here when I say GH has lost the plot with AI.

@mitchellh

Code[dot]Storage A new Git provider for machines by @pierrecomputer. In Oct, Github shared they were averaging ~230 new repos per minute. Last week we hit a sustained peak of > 15,000 repos per minute for 3 hours. And in the last 30 days customers have created > 9m repos🧵

@fat

Here’s what I’d do if I was in charge of GitHub, in order: 1. Establish a North Star plan around being critical infrastructure for agentic code lifecycles and determine a set of ways to measure that. 2. Fire everyone who works on or advocates for copilot and shut it down. It’s not about the people, Im sure theres many talented people, youre just working at the wrong company. 3. Buy Pierre and launch agentic repo hosting as the first agentic product. Repos would be separate from the legacy web product to start since they’re likely burdened with legacy cross product interactions. 4. Re-evaluate all product lines and initiatives against the new North Star. I suspect 50% get cut (to make room for different ones). The big idea is all agentic interactions should critically rely on GitHub APIs. Code review should be agentic but the labs should be building that into GH (not bolted in through GHA like today, real first class platform primitives). GH should absolutely launch an agent chat primitive, agent mailboxes are obviously good. Etc. GH should be a platform and not an agent itself. This is going to be very obviously lacking since I only have external ideas to work off of and have no idea how GitHub internals are working, what their KPIs are or what North Star they define, etc. But, with imperfect information, this is what I’d do.

@mitchellh

People keep saying AI coding agents can only build basic, cookie-cutter apps. I decided to prove them wrong. For my first major public demo, I spent some time pushing @Replit 's AI agent to its absolute limit. The result? I rebuilt macOS entirely on the web. No templates. No imported UI libraries. 100% vibecoded using natural language. As the AI Chief of Staff at Replit, I spend my days building enterprise-grade platforms for our internal teams, but I wanted to see how far a solo developer could take a passion project just by talking to an AI. What’s inside: 💻 A functional VS Code replica with an integrated terminal and multi-agent AI copilot. 🔌 Custom MCP servers hooked up to fetch, PostgreSQL, Stripe, and GitHub. 🤖 A rebuilt "Siri" that actually controls the OS -changing wallpapers and opening apps via voice or text. 🕹️ Parallels Desktop running Windows XP, Ubuntu, and games like Mario Kart. 📱 AND... I asked Agent 3 to turn it into an iOS mobile app in one shot. It actually worked. The ceiling for software creation has been completely blown open with Agent 3. And 4 those who know... greater things are coming soon :) We are way past basic web apps. What are you building? 👇

@agi2asi

I wanted to see if I could make a book from my 36,000 tweets. So I downloaded my twitter archive and asked Claude to turn it into a feature-rich library Features include: • AI search • "Dark academia" color scheme • Filters & sorting for date, engagement #s, length, etc • A Tinder-style swipe view for curation (like/superlike/pass) The most useful feature has been Claude's assigning of tags based on topic & type. This lets me see that, for instance, I have 272 tweets on aesthetics, so perhaps there's a book to be made on this topic. Eventually, I realized that – since I was using the app to do curation – I could also use it to recirculate my best material across Substack, Bluesky, and other platforms. So I asked Claude to build a queue for scheduling longform content on these platforms and another for scheduling shorter tweets. These last two features aren't fully finished yet. But if you want to build your own, you can grab my Markdown file from the Github link in my reply. Just copy-paste it to your Claude. No technical expertise needed (I certainly don't have any)

@TylerAlterman

Lots of people worrying about OpenClaw doing disasters. Well, today it saved me from one.A few hours ago I wiped every repo from my Mac 🫠Changed the root directory in @conductor_build. It warns you it'll delete everything in the previous folder, but I had accidentally set it… pic.twitter.com/AeHe5bn37I

@linuz90