Reading up on automation

How to build automations with Claude Managed Agents: https://claude.dev/blog/building-effective-agent-automations/ Deploy an agent that reads Slack/GitHub on a schedule (with credentials and memory) and posts updates. You can set it up with a Claude Code command and use the new API credits included in Max and Team.

@ClaudeDevs

before I joined Anthropic, I spent about 2 weeks hacking on this as a side project with Opus 4. It used the Agent SDK so it needed a constantly running process & didnt work that well but one prompt to Opus 5.5 ported it to Claude Managed Agents & made it way more reliable

@trq212

Gliff will give you access to all your remote Omarchy boxes from a single app with tabs per server that streams over SSH using GPU acceleration. Incredibly useful! Will be part of RS 4.5 🤘 https://github.com/omacom/gliff

@dhh

Server monitoring

@sinequanonh

With the current Codex reset frenzy, I've unleashed Astra 6 on Ultra and it is blowing my mind with some really incredible work. Use these prompts: 1. "Examine this project thoroughly, looking for bugs. Treat it as an adversarial review using as many subagents as you want. When an issue comes back, double-check it's correct, and add checked issues to a list." 2. "When all agents have finished, walk me through each issue one at a time, giving me reproduction steps so I can verify." 3. "For all bugs I report as verified, write a failing test proving the bug exists, fix the issue, check your work carefully, then run the test again to verify it's resolved." It's found 43 issues so far, only 2 of which I disagreed with. Some minor, yes, but some big ones too 🙈

@twostraws

I discovered that 1000s of bots are actively monitoring X for new links posted, probably not just on my account I noticed when everytime I'd share one of my sites new features or pages, the page would get a bit slower just after posting, then I asked Claude to analyze it I tweeted a test URL as a reply somewhere deeply hidden in a thread (so not even a main post) And within 8 seconds there's thousands of crawlers opening the page! One is a military intelligence firm, that scans social media for breaking news and sells alerts to newsrooms, banks, companies and government, it specifically follows accounts with many followers Another one is a social media monitoring company that tracks what people say online I knew of course high frequency trading firms use online news to trade fast on things, but interesting to see it in real life Twitterbot (X) of course is first, within 0 seconds of sharing, it opens it (probably when I wrote the tweet) The first non-X bot arrives just 8.40s later, which I think is pretty fast considering it's a reply by me deeply hidden in a thread somewhere TL;DR they're watching you!

@levelsio

Day 2 of getting GitHub runners working on my Mac Mini 24/7 AI code factory

@DanielleMorrill

Grok Bot just made X free for every user. No API key, no credits. So @slashlast30days on @Grok @Bot now pulls X in automatically and puts it next to everything else people are saying: 🟠 Reddit upvotes and comments 🔵 X likes, now free on Grok Bot 🔴 YouTube, TikTok and Instragram comments 🟡 Hacker News threads 📈 Polymarket odds One answer, ranked by what real people actually engaged with. Google aggregates editors. /last30days searches people. Get it on Grok Bot:

@mvanhorn

OpenAI’s Dots launched last week and they've taken over @every. A few things that stand out: They protect your attention. Over the weekend, my Dot posted my model-testing results to Slack and brought back replies. I could keep working without opening Slack and disappearing down a rabbit hole. My weekend stayed pretty clear and calm. They’re useful for the little things you miss. People at Every are using them to pull important information out of school emails, catch missed Slack messages, and flag account-access requests. Voice makes them useful away from your laptop. Our head of video was talking his Dot through video edits while running around getting our launch out. The ecosystem matters. Dots feel roughly at feature parity with Muse, Instinct, and Grok bots. But having an agent connected to the ecosystem you already use for work and life is a real advantage. If you use ChatGPT, I recommend trying one. Permissions are still frustrating. I have to approve the same basic thing multiple times, and sometimes even after I approve it, my Dot says it can’t do it. That needs to get fixed. I’m less convinced we’ll stay loyal to the characters. Mine is named Boo, and I’m attached to him. But I felt that way about my OpenClaw agent, too. When something better comes along, I switch. In a year, I expect to be using a persistent agent. Boo will probably be dead. RIP, Boo. I get into all of this at the start of this week’s podcast, and then sit down with @bigwilliestyle to talk about where we go from here. In a lot of ways, Dots and GrokBots remind me of a wave we went through with OpenClaw eight months ago. We talk about personal vs. company agents, why we built our own company agent, and whether companies will end up with a whole shadow org chart of agents. Full episode below.

@danshipper

Silicon Valley keeps building me a husband when what I really want is a wife lol I don't want an agent that only does one-off, random tasks that are nice but not life-changing: booking flights, making dinner reservations, or buying tickets I want an AI wife who knows what’s on the family calendar, remembers there’s a birthday party Saturday and we haven’t bought a gift then sends me options, realizes we’re almost out of diapers and buys them, knows which bills are coming up, remembers someone needs a dentist appointment and books it, figures out what the hell we’re eating all week and what we need from the grocery store, and generally keeps track of the 47 things that need to happen before anyone else even realizes they need to happen. So, who's building me an AI wife that carries the mental load instead of an AI husband that waits for me to give it a chore??

@SoniaBaschez

holy sh*t. Official Anthropic tip for Claude Code: stop burning Opus 5.5 context on tasks Haiku 5.5 can swarm, while Sonnet 5.5 builds put the architect on call with /advisor claude --advisor opus --subagents haiku Sonnet 5.5 drives the primary session on high effort, writing diffs and running test suites Haiku 5.5 subagents swarm the repo in parallel at 340 tok/s, handling file discovery and spec docs lookup Opus 5.5 stays on call in the background as the advisor, only stepping in at three critical moments: → before a plan locks: does the implementation plan miss auth invariants or schema contracts? → when a test breaks twice: are we fixing the root cause or falling into a recursive rabbit hole? → before calling done: did the full diff introduce hidden regressions or break pre-flight rules? Opus 5.5 reviews. Sonnet 5.5 builds. Haiku 5.5 swarms Jev engineering runs the identical pattern one layer down: mechanical decisions that need no reasoning (which file to open, which tool to invoke, retry or abort) execute in 16ms, so the frontier models only wake up when execution paths actually diverge Plan on high. Delegate on medium. Keep Opus on call. - the full advisor setup > Opus 5.5 on call reads full session history and catches deep architectural traps > Sonnet 5.5 lead drives edits, writes core logic, and executes test harnesses > Haiku 5.5 subagents swarm AST parsing, grep scans, and API docs in parallel > JEV micro-fork layer resolves 1,500+ mechanical routing branches in under 16ms > advisor stays completely silent on routine bash execution to protect context paste the setup and this prompt into Claude Code below: "Configure my Claude Code workspace for hierarchical advisor orchestration: 1. Audit ~/.claude/settings.json and project config for model roles fitting lead, subagents, and advisor: > Pin main session model: sonnet with effortLevel: high for primary execution > Pin subagents model: haiku with effortLevel: medium for parallel file discovery and docs retrieval > Pin advisor model: opus on call for strategic review 2. Enable the advisor tool in ~/.claude/settings.json: > Set advisorModel to claude-opus-5-5 > Enable subagent parallel dispatcher pool (3x workers) 3. Configure automatic advisor consultation checkpoints in ~/.claude/CLAUDE.md: > Consult /advisor opus before finalizing multi-file architecture plans > Automatically summon /advisor opus when the same test or compiler error fails twice > Enforce advisor diff contract audit before declaring tasks complete or staging git commits 4. Constrain subagent scopes: > Haiku subagents return structured AST summaries and docs snippets only without modifying main session context Show every configuration diff first. Do not apply edits until confirmed" ↳

@mirku21

I scrapped the tool. I realized how much I like to write in @linear and how simple, fast and elegant the document experience is. So Team Documents in Linear is my CMS now. I have local tool that pulls the markdown with site metadata, renders html, saves backup, publishes it to S3 within 10seconds. I'm on free plan btw.

@karrisaarinen

Your side projects should be compounding very fast with AI. Every problem solved can be re-used or extracted into a generic module. Every design decision should make the next thing beautiful by default. Your agents should be constantly stealing from your past decisions.

@brian_lovin

You can basically work with agents to write markdown skills and put it on a cron job and do almost every useful type of knowledge work now

@garrytan

This guy is literally just running Claude Code on someone's GitHub repo and charging $1,500/mo If you have an audience on here you can monetize anything 😉 You can just copy his tweet to Claude Code and do it yourself for free by the way

@illyism

what we've shipped: muse ♥️ ton of connectors 🔧 muse invite codes 💌 muse phone call beta ☎️ muse for mac  muse in canada 🇨🇦 muse connector platform 🛠️ muse mac computer use 💻 muse for small business 💼 muse gadgets 🕹️ muse memes 🤡 no butthole 🍰 what should we ship next?

@alexandr_wang

Instinct in group chats Starting today, early access users can add Instinct to group chats. A new Instinct joins and works for the whole group. Making plans with friends usually turns into a frustrating back-and-forth over times and places. With Instinct in the group, you can explore options together, agree on a plan and get it done, all in one thread. Your friends don't even need Instinct to join in. A few things it’s good at: - Planning a weekend trip with friends, including dates and arrival times - Coordinating logistics with a roommate - Getting tickets as soon as they go on sale, then splitting the cost and sending one to everyone - Running a fantasy league, keeping standings, settling rules disputes, and reminding everyone to set their lineups - Sorting out carpool schedules - works out who’s driving each day from everyone’s schedules - Organizing Thanksgiving, keeping track of who’s bringing what and ordering the shopping list Group chats are new territory for Instinct, and we put a lot of care into getting the permissions right. Here’s how it works: - Your personal Instinct asks before connecting with the group’s Instinct. You choose which groups to trust and can remove trust at any time. - The group’s Instinct has no direct access to your personal accounts. Your Instinct checks your permissions before sharing information or taking action. - If someone new joins the group, all pending replies from your Instinct are held until you grant it permission to share with the expanded group. Group chats are available to all of our early access users, and will be rolling out to everyone soon. To join early access for this release, ask your Instinct to put you on the list. Great work with @GajanNagaraj @anuda_w and @saagarwashere

@noahrshinn

How to make money as an indiehacker in 2026 and beyond? the opportunities seem to be shrinking fast. I've been thinking about this a lot lately. AI is eating whole categories of the SaaS industry. What would I work on if I was starting from scratch? Here are some random thoughts. 1) Software primitives Some of the basics aren't going away. Humans use them to get a job done, or humans use AI to interact with the tool. The AI needs the tool and can't natively do what the tool does. Newsletter managers/deliverers, form builders, analytics software. If the category has existed for 20 years, it will continue to exist. The question here is can you get traction for a product in an extremely saturated space. Maybe there are opportunities in niches. 2) Automate your specialized service This is probably the best time ever to productize a specialized service. Take a domain / service you're an expert in, which previously would require unscalable 1-to-1 attention with a client, and agentify it with proprietary data/skill.md etc. 3) AI value arbitrage There is a short term opportunity in taking things we see at the cutting edge of the X bubble, and packaging it for the non-AI-pilled. Opus 5.5 motion videos would be a recent example. We all know this is possible with AI now, but maybe there's a vehicle to package this for normies in a way that blows their minds and creates value for them. This relies on there being a knowledge gap though, which will shrink fast. 4) Just Do Hard Things (TM) Do things that are genuinely hard, that you would never be able to build before. Build things that previously only a VC-funded company would be able to do, with hurdles from all angles not just tech, but also go to market, regulatory, etc. Doesn't guarantee success but it at least keeps competition away. 5) make a social media scheduling tool just kidding about that last one.

@yongfook

Wow, @steipete delivers a new-to-me YOLO/skip permissions gem for computer use: What it unlocks: "per-app limits get lifted. Today those stop me from clicking or typing in browsers and from typing in terminals and IDEs. That would let me type into Chrome or cmux directly"

@mvanhorn

なんと、Cloudflareがすでに作っている https://github.com/cloudflare/ci

@R0u9h

We are now entering into an era where any product can be created exactly to a consumer's preferences & needs. I vibe-fabricated a dog door with a wifi-controlled lock, perfectly to the specifications & design of my house. I know nothing about metal fabrication or electrical engineering. It's now getting manufactured and delivered in 2 weeks -- for almost the same cost if I bought a mass-produced item off-the-shelf.

@nikitabier

We’ve been improving Loops a lot to automate work that should be automated In @slack or @linear just tell the agent you want to make a loop for something. The loop can auto pick models, connect to external services through MCP, can be triggered or scheduled. Some example loops from our team: * Investigate incoming bugs and propose fixes with browser tests * Find new Sentry errors and open fix PRs * Turn meeting action items into issues * Monitor engineering alerts and unusual cost spikes * Surface untracked container vulnerabilities * Scan and remove old feature flags * Watch feedback on workflows or product areas and keep an running document, slack or other sources

@karrisaarinen

Excited to release the @github async merge API today! If you (or your agents) are merging PRs programmatically, this is for you 🧵 https://github.blog/changelog/2026-10-01-github-async-merge-api-generally-available/

@sameenkarim

Who knew that 22 years ago when we launched Basecamp we'd have built the absolute best framework to work with humans and agents in the same place. Here's @bitsweat talking to Clawdito (an agent) in Basecamp, assigning it work, getting responses, asking it to follow up, creating PRs, the whole thing. And here's @jasonzimdars working with Marie (an agent) and JZ bot (another agent, his agent) in a comment thread on a message board. Can do this anywhere in Basecamp... on a to-do, card, file, document, photo, anywhere you can talk to humans async or real time, you can talk with your agents the same way. And they can respond the same way humans do, right in line, right where you'd expect, with all the context in the thread. We've been running and refining this in our account for a while now. Anyone can do this today using the CLI. But we're also making it easier for people to create agent-users within Basecamp. Stay tuned for a lot more on this front.

@jasonfried

Down to 6110 unread from the over 9000 unread emails just earlier. Will get to inbox zero with clean filters within the next 48 hours. Dot has accepted the challenge.

@thsottiaux

The agents that run my LinkedIn outreach are currently getting a 55% reply rate on cold outreach and are generating hundreds of signups for me completely on autopilot. I packaged the exact system into a skill that works for any harness so you can copy it for yourself.

@speedrunjaen

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

@karpathy

The future is verification-engineering. Proofs, (e2e) tests, benchmarks, linters… Some tests will be deterministic, some agentic. This looks great.

@rauchg

I literally can't think of a better risk/reward bet right now than building a ChatGPT plugin and getting in front of their 1.2 billion weekly users. As of yesterday, ChatGPT recommends plugins in the middle of conversations. Millions of questions get asked every day with no plugin to recommend. Each one is an empty slot. Facebook apps in 2007. iPhone apps in 2008. TikTok in 2019. Every big platform has a few months where distribution is free, and most people miss it. I saw this firsthand when I lived in SF building venture backed companies. They are sacred times! If I were starting this week: 1. Find a tool or workflow people already Google for or do by hand every week (PDF to Excel, invoice generator, weekly client reports) 2. Build it as a ChatGPT plugin 3. Write the description using the exact phrases people type into ChatGPT 4. Ship 5 of them and see which ones get picked up 5. Double down on the one with the most traction In 12 months these slots will be crowded but right now they're pretty empty. Most people will realize ChatGPT plugins were the biggest free distribution channel of 2026 sometime in 2027.

@gregisenberg

i'm sorry, Jev can WHAT? it can take your website link, find people who need your product, email them and book the calls? since when?? i've been doing this by hand for a YEAR. ok. testing it: $30 free 👇 https://explee.com/auto-gtm/x/tw-ag425-c897

@vovudebosh

I gave Opus one night and one ask "Build my own Bot / Dot and it should use ChatGPT sign in and Claude subscriptions. Every agent get it's own VM" 12 hours later, TOT exists

@dhruvalgolakiya

You can finally close your laptop now and your agents will keep working. Codex cloud environments are here. Reusable environments mean less setup and faster starts, with your repo, dependencies, scripts, and settings already in place.

@OpenAIDevs

Claude just built me a mac app which listens live to my zooms, transcribes, tells me what to ask, and does live 'fact check' on my zoom calls against my whole CRM / knoweldge base + web ... (this is demo)... pipes it all into my claude 2nd brain. Sick.

@lessin

Meet the winners of The WebMCP Challenge. These 10 projects show what people and agents can build together when websites expose structured tools agents can use. 🧵 See the winning projects and the builders behind them:

@OpenAIDevs

Every time you let Opus 5.5 run a long task on its own, have it vibe-code a quick 𝗛𝗧𝗠𝗟 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 like this first. Then give it 𝗮 𝘀𝘂𝗯𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝗼𝗻𝗹𝘆 𝗯𝘂𝗶𝗹𝗱𝘀 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀: → Name it dashboard-builder, set its effort to medium, and preload a design skill → The first time, it asks what style you like and saves it to memory. After that, every dashboard fits your taste and the task at hand → Call it before every long task. It builds the dashboard in the background in about two minutes, and the main session keeps coding on high without stopping → The dashboard shows four things: task progress, what's stuck, questions waiting on you, and what it'll do by default if you don't answer Send this prompt to Claude Code 👇 "Set up a subagent that only builds progress dashboards: 1. Create dashboard-builder in ~/.claude/agents: model: opus, effort: medium, memory: user. Preload the design skills I have installed (for example impeccable). It can only read and write the .dashboard/ folder and its own memory. 2. The first time, it asks me what style I like: dark or light, dense or airy, and one accent color. It saves my answer to memory and follows it every time. Pick the panels for the current task; don't use a template. 3. The dashboard is one HTML file showing tasks and their status, questions waiting for me with the default action, the latest deliverables, and anything stuck. Use the real clock for every time. It opens with a double-click and refreshes itself every 10 seconds. 4. Add a rule to ~/.claude/CLAUDE.md: for any task with more than 5 steps or that should take longer than 30 minutes, have dashboard-builder set up the dashboard before starting; update it after every step; when you need a decision from me, add it to the questions list and keep going with the default. Show me the contents of the files you'll create or change, then explain the whole flow in words a 10-year-old could follow. Don't write anything until I confirm."

@Voxyz_ai

I may have accidentally built an Apple Mail CLI with Opus 5.5, plus a frontend that uses Claude to categorize messages and batch archive them 👀

@viticci

The number of programmers worldwide who can beat a collaborating pair of frontier models rounds to zero.

@dhh

Inspired by @tobi and his datatree I built the same thing but for AWS billing. It shows per resource breakdown and you can export JSON and ask your AI agent to review.

@brankopetric00

Just about 1 year ago I posted one of the first posts about using Claude Code to make videos. Each of these actually took a long time to iterate with Claude and get right, pointing out details that were wrong, etc. Crazy how far things have come.

@trq212

Muse is cool, I'm a fan... but what's been on my mind lately is less about tech. We've created two big inventions over the last few thousand years: societal and physical. Democracy, markets, institutions, culture, shared values vs cars, planes, fire, etc... AI is about to massively level up individual capability. massively. This Muse post is exactly it. It's all about the individual. We can likely make anything physical soon. The best brains + dollars on the planet are pilling on. But when individuals become dramatically more powerful, more autonomous, and less dependent on each other, what new societal inventions do we need? What replaces the institutions, rituals and communities that evolved for a world where humans needed each other much more than they may in the future? Or is this "build me a society upgrade with..." prompt running in a backroom somewhere?

@jmwind

Was wondering where my disk space went. Therefore this exists now. You can simply wish software into existence.

@tobi

With Claude Code! I imported all my bank accounts, Revolut and Wise etc, and then scoured my backups for old bank statements to backfill the data as much as possible

@levelsio

Used ChatGPT Voice with plugins for a couple of hours. It's remarkably good. I have a feeling it's going to fundamentally change my usage of ChatGPT. First, it works with any plugin I've tested. That includes a custom MCP I made that lets me access my Mac from ChatGPT. I asked to pull a photo from my desktop and my Reminders, and it all just worked. Voice mode with tools can also preview images inline. (I'd love to see MCP UIs rendered inline, though.) Second: live bidirectional voice with tools feels great to use. When I asked to search for a file in Superhuman, I was able to interrupt the model, say "no actually it's in Slack", and it pivoted on the fly. Combined with Fast mode, it's even nicer. The result: I can realistically use ChatGPT Voice to drive background tasks that a) just don't work with Siri AI and b) go beyond simple questions and kick off workflows that involve multiple plugins – all without ever typing. I've been waiting for OpenAI to ship this for a while, and they pretty much nailed this.

@viticci

i love prompting for a full walkthrough of a flow i.e here i had it show me all of the steps involved in oauth and found redundant steps, layout shift, and some weird ui state agents don't have to produce slop, they can also help you make great software

@RhysSullivan

Eduardo Sasso (@eduardosasso) / X

@eduardosasso