Reading up on automation
100 deep · digging since nov 27, 25
- How Microsoft Ships AI Agents at Enterprise Scale
Microsoft scales AI agents by treating the harness—runtime, retrieval loops, identity, and continuous evaluation—as critical as the model itself for production reliability.
- Automatic Code Review for Claude Code — Async Reviews via Hooks + OpenRouter
The article explains how to configure Claude Code to trigger asynchronous, non-blocking code reviews via a Stop hook that launches a Codex‑based reviewer through OpenRouter, keeping workflow uninterrupted.
- Social Media Scraping APIs for YouTube, TikTok, Instagram, Facebook, X & LinkedIn
SocialKit provides a unified API that extracts transcripts, summaries, comments, and stats from YouTube, TikTok, Instagram, Facebook, X, and LinkedIn as clean JSON.
- PostPeer - Unified Social Media Posting API - Add social media posting, scheduling, and automation to your product in minutes.
PostPeer offers a unified API that lets developers add cross‑platform social media posting, scheduling, and automation to their products in minutes.
- The Work of Helping A.I. Destroy Work
Start-ups are hiring white-collar professionals to train AI models to perform their jobs, creating a profitable yet unsettling shift that threatens future employment.
- Stop being the code review bottleneck - by Jina Yoon
Engineers can offload AI‑generated code review to agent pipelines, using multiple specialized reviewers and automated triage to reduce human bottlenecks.
- Toyo — Your AI assistant for busy teams
Toyo is an AI executive assistant that triages email, schedules meetings, drafts replies, and tracks commitments via text, voice, or phone, integrating with Gmail, Calendar, Slack and other tools.
- Workflows | Render
Render's Workflows lets developers run reliable application logic and parallel tasks without handling queues, worker pools, or custom retry logic.
- How to AI-Proof Your Fund Portfolio<!-- --> - Barron's
Barron's identifies five defensive sectors and 13 funds that can protect portfolios against overvaluation and concentration risk from the AI-driven tech rally.
- Fable's judgement
The author learned to let Claude Code's Fable model use its own judgement to delegate coding tasks to lower-power models, improving efficiency and token usage.
- Closing the Verification Loop
ce-dogfood autonomously verifies software branches by testing every change in a real browser, fixing only clear bugs with regression tests, and escalating trade-offs to humans.
- Ford AI hiccups push carmaker to rehire ‘gray beard’ inspectors
Ford's attempt to replace human inspectors with AI failed, leading the carmaker to rehire experienced 'gray beard' inspectors.
- Have your agent record video demos of its work with shot-scraper video
Simon Willison introduces shot-scraper video, a tool that records video demos from a YAML storyboard using Playwright, enabling coding agents to demonstrate their work.
- Oomwoo, an open-source robot vacuum you build yourself
Oomwoo is an open-source, modular robot vacuum you build yourself, aiming for repairability and customization, with the creator defending its cost-effectiveness and community-driven development.
- Autoresearch, Claude and Constrained Optimization
An experiment using Claude Code to autonomously optimize a file compression algorithm over 10 iterations, achieving competitive results against standard tools by iterating on an LZSS-based approach.
- Introducing Browserbase Agents
Browserbase Agents lets users create and run browser agents from natural language goals via one API call, returning structured results and observability, on the platform used by Ramp, Shopify, and Lovable.
- Fixxa – Quotes & Invoices for Tradespeople
Fixxa is a tool that helps tradespeople generate quotes and manage invoices efficiently.
- How A.I. Might Change the Way Doctors Think
AI-generated patient exam summaries may change how doctors form diagnoses, potentially reducing their cognitive engagement with cases.
- Rise of the Cheap Robots - by Chris Paxton - It Can Think!
Three startups are launching general-purpose robots under $10,000 this year, including Nori Robotics' $1,288 robot, BracketBot's $3,000 robot, and Weave Robotics' Isaac 1 at $8,000.
- The modern company won't have bullshit jobs
AI agents can automate administrative overhead like syncing tools and tracking metrics, freeing humans for strategic work.
- No-One Escapes the Permanent Underclass
If AI replaces all human labor, a permanent underclass results; even the rich and state are eventually disempowered by autonomous machines, making human autonomy obsolete.
- U.S. World Cup Cities Are on a Counterdrone Spending Spree
FEMA awarded $250 million for drone defense equipment across U.S. World Cup host cities, and the gear will stay after the tournament ends.
- Writing Loops, Not Prompts, Explained
Loop engineering means automating repeated prompt steering into verifiable systems to free human attention for judgment and review, using a break-even equation to decide when loops are worth building.
- FFmpeg API - Process Your Videos Online
Rendi provides a REST API to run FFmpeg commands on its cloud infrastructure without installation, auto-scaling and supporting long run times.
- Messages in. Actions out.: this+that
this+that automates email and chat workflows by extracting action items from messages and using a shared operational knowledge base to execute them automatically.
- GitHub - Automattic/juice: Juice inlines CSS stylesheets into your HTML source.
Juice is a Node.js library that inlines CSS properties from style tags into HTML style attributes, primarily for HTML emails.
- Creating a VS Code agent hook to respond to file changes - Human Who Codes
VS Code agent hooks provide deterministic shell commands that trigger on specific agent-loop events, enabling guaranteed follow-up automation like regenerating types after editing wrangler.jsonc.
- Coding sessions in Linear – Changelog
Linear Agent can now write and review code using Claude Code and Codex, enabling end-to-end issue-to-ship workflows from within Linear.
- Document Generation API: Automate Personalized Document Creation at Scale - Foxit
Foxit's document generation API uses Word templates with tokens, loops, and formatting specifiers to automate PDF creation from JSON data at scale.
- Cloudflare teams up with Chrome, Firefox, and Edge on a privacy-first anti-bot protocol
Cloudflare, Mozilla, Google, and Microsoft are developing PACT, a privacy-first protocol to verify web traffic legitimacy without tracking users.
- TIL: You can make HTTP requests without curl using Bash /dev/TCP
Bash's /dev/tcp feature allows making HTTP requests by opening a raw TCP socket and writing the request manually, useful when curl or wget are absent.
- Ploy
Ploy is an autonomous marketing platform that continuously monitors, optimizes, and grows B2B websites using AI agents and pre-built growth playbooks.
- AI coding agents taught robots how to install GPUs and cut zip ties - Ars Technica
Nvidia's ENPIRE harness lets AI coding agents autonomously train robots to perform physical tasks like cutting zip ties and installing GPUs.
- Why we're bullish on loops - by Ian Vanagas
Loops—self-prompting agents that autonomously complete long-running tasks using context and verification—are becoming viable due to model improvements and enable self-driving products.
- How long until AI doesn’t need humans? - Asterisk Magazine
Ajeya Cotra forecasts AI self-sufficiency within 10 years; Timothy B. Lee gives a 50-year median, debating robotics, tacit knowledge, and profit incentives.
- They Spent Years on a Math Problem. Then They Were Scooped by A.I.
An AI system called Gauss completed a mathematical proof formalization in five days, outpacing a human team that had worked for two years, raising concerns about the future role of mathematicians.
- GitHub - firecrawl/firecrawl-workflows
Firecrawl Workflows provides outcome-focused skills for AI coding agents to produce research reports, SEO audits, lead lists, and other deliverables using the Firecrawl web extraction tool.
- The Jevons Misunderstanding - by Sangeet Paul Choudary
Applying Jevons Paradox to AI job fears is a misunderstanding because it confuses augmentation with complementarity and ignores who captures the surplus.
- A new era for software testing - <antirez>
LLM agents can perform manual QA testing via markdown instructions, catching regressions and psychological issues, raising software quality beyond traditional automated tests.
Takes
A ChatGPT automation just found ~$45K in erroneous invoices across 3 years of billing history that I've confirmed and already had resolved. My lifetime history for ChatGPT is ~$1,800, so it just paid for itself 25x over. I setup an automation with read-only access to my email, and tasked this one specifically with analyzing construction invoices. It has access to prior construction invoices, emails, meeting notes, etc. It produces a report and emails it to me (the only email its allowed to send, enforced by API token) whenever I receive a construction invoice. Across 3 years of construction projects, it found about $45K in issues. Some were wrong amounts, some were duplicate invoices, some were invoices addressed to the wrong person. I manually verified, emailed my GCs, and got refunded/credited. I get multiple construction bills each month and each bill is ~50 pages in a PDF of low-quality scanned paper. I do manually review each bill but its pretty hard to be right all the time. I do believe these were genuine mistakes and not done out of ill will just based on what the mistakes were. I don't want to share my full construction costs across the past few years, but $45K is a very small percentage of overall billed amounts. Pretty sweet.
@mitchellh
What Is a Software Factory?
@chamath
this has 0 manual edit and was done by Fable with Revid MCP crazy simple to use the MCP 👇 https://www.revid.ai/mcp
@tibo_maker
Today we're publicly launching Cloud Run sandboxes. Here, I start, execute, and stop 1,000 sandboxes in 5s with an average of 500ms latency:
@steren
I built a skill to let my Claude Code build premium landing pages like this in one shot. The 3 sites in the video are one-shot results, ~$10-15 each. Register @higgsfield_ai , install the CLI and scroll-world skill, hand the rest to Claude Code.
@the_cyw
mattpocock/skills v1.1 is out! - /wayfinder helps you plan more ambitious work than ever - /to-spec and /to-tickets replace /to-prd and /to-issues - /implement + /code-review complete the whole lifecycle - /research and /prototype help support wayfinder, or can be used independently - Crucial fixes to /grill-me Run npx skills@latest add mattpocock/skills to update!
@mattpocockuk
Introducing iMessage video ads in Claude We taught Claude to make iMessage video ads in one shot with a single skill. These iMessage ads are absolutely killing it on Meta right now. The skill teaches Claude to make a full video ad in one shot with iPhone frame, SFX, music, and end card. And it's just HTML. It doesn't use any video generation models, so it's cheap! Comment Goose below and I'll send you the skill.
@shivsakhuja
Dumb question: I’ve been running most of my cron jobs locally on my Mac Mini because it’s already authenticated with Google Workspace and the other apps I use. But should I run these jobs in the cloud instead with these apps OAuth’d to my Claude or ChatGPT account? How should I think about what jobs should stay local vs. move to the cloud?
@petergyang
If you run this workflow, ask Fable to make codex the workhorse. https://github.com/steipete/agent-scripts/blob/main/skills/codex-first/SKILL.md
@steipete
Scheduled tasks now run even with your computer off. Set client prep for 6am, and Claude works through the threads and transcripts, builds the brief, and leaves the follow-up drafted but unsent. When a decision needs your judgment, the question comes to your phone.
@claudeai
🍌 Got so lazy to order stuff on UberEats that I asked Claude Code to do it Very easy, it just installs Playwright and then you login once to UberEats on web (the iOS app is also just a web wrapper, nice) Then you can just say "order bananas" and it does it!
@levelsio
Claude Cowork is coming to mobile and web. Hand Claude a task at your desk and pick up the finished work from your phone. Close the laptop and Claude keeps going. Beta is rolling out over the next several weeks starting with the Max plan, with more plans to follow.
@claudeai
What should the IRS ship in the second half of 2026?
@shl
GOODBYE LOGO DESIGNERS IN 2026. Here are 10 Claude prompts that generate brand identity, visual direction, and logo concepts without hiring anyone. Save this before it goes viral. 👇👇
@shubham_crazy08
Fable + loops + goals is lowkey TERRIFYING
@EXM7777
I built an engine for Fable to create its own self-improving NPC town with @threejs and it's actually doing it lol. Literally shipping its own PRs to advance the story and lore. Crazy.
@gill_works
Voice-to-text is getting so good. I worry future generations won't even type—at least not well. Also, what do a Mesopotamian clay tablet and voice-to-text have in common? Honestly, I’m still not totally sure. But somehow, it’s in this video.
@JoannaStern
One agent runs 99.98% of Gumroad
@shl
Fable 5 is so good at web design that I genuinely don't see how web design careers make it past the end of this year. An AI that can one shot designs this good means that the web design industry as a whole is in serious trouble. If you're in web design, it's time to pivot.
@markgadala
Fable 5 + Goose Ads is insane – literally a full ad-creative team right in Claude Code. 1. Install the skill: npx gooseworks install --all npx gooseworks login 2. Ask Claude Fable to make ads for your brand. /goose-ads create ads for my brand <your-website>. Fable 5 pulls the ads already winning in your space and rebuilds them on-brand – your product, your palette, your copy – a whole batch, ready to test. It can ship a month of creative testing in a single prompt. This is also possible with Opus and Sonnet, but Fable's brand research is next level. Link below.
@shivsakhuja
Getting sick of setting up third-party services So I built a skill for it /wizard builds you an interactive CLI for the task you're currently doing, and takes as much work off your hands as possible #1 is how the agent described the wizard, #2-3 is what it looks like:
@mattpocockuk
Introducing Interfere. Interfere observes everything that happens in production, investigates what’s broken and fixes problems before your users notice them. Spend your time building what’s next, not fixing what’s broken. Get early access today.
@interfere_
My girlfriend couldn’t cancel a hotel reservation today. No cancel button. They weren’t replying on WhatsApp. Since I really didn’t want to call the hotel, I told her to try and just use Codex. 2 minutes later, she came back to me saying that Codex quickly realized there was a basically hidden cancel button on the reservation page (nasty dark pattern), and it just went ahead and canceled for her. It’s a little thing, but there’s so much daily stuff now I’m doing with Codex. Paired with Computer Use and the Chrome integration, it’s really great at a huge range of tasks, so I’m starting to default to it. (this is probably true for Claude as well)
@linuz90
Every time you think you need a dashboard to look at data, stop yourself. Do this instead: 1. Ask your agent to make sure that you have all the data to analyze something actually stored in the database. 2. Ask your agent to write a skill to gather that data. 3. Ask your agent to do the analysis and create a temp and throw-away HTML dashboard to answer the question(s) that you have In my experience, every dashboard that I've created gets less and less use over time and decays. It's much better to make sure your agent can get the data you need and answer the questions you have, on-demand.
@ryancarson
Build a document processing workflow in 30 minutes
@MistralDevs
start running deepsec on all your repos trust me.
@DavidOndrej1
A friend asked me how to actually build a company that runs on AI agents. I drew him 4 simple diagrams and this is what I told him: For this to work, a few things have to be true. - The humans move up to strategy, taste, and judgment while agents handle the execution. - The whole business becomes readable to agents. Your data, SOPs, pricing, permissions, and decisions all live in one shared context layer. - And you point it at the right work. Repetitive enough for an agent, complex enough that the incumbents never bothered. That's the goldmine. In the old world, the company was the people. They held the knowledge, made the calls, did the work. In this new world, the people become the creatives, the agents become the labor, and the company itself becomes the context layer. That shared brain is the actual company now. The humans and the agents are just plugging into it. Which means the most valuable thing you can build in 2026 is a business so well-documented that an agent can run it. I see it everyday with @MeetLCA. I don't talk about it much publicly, but we've built a SWAT team for building AI-native orgs and AI-native products. The moat is how legible your company is. I drew it all out below.
@gregisenberg
Head of Engineering at Shopify, Farhan Thawar: "While you're still perfecting your prompts, the best engineers stopped writing them months ago. Learn to write loops instead." 44 minutes on the new AI formula that's changing how the best engineers build. Watch it, then save the step-by-step guide below 👇
@zodchiii
☁️ I made my own little Cloudflare called Pietflare, it's a DDOS and probe detector with AI and with a central IP / ASN / country block list Each server (VPS) sends suspicious probes, or DDOS attempts etc, from the access logs to the central admin and each server pulls a central blocklist every minute and blocks it in Nginx It has a central dashboard where I can see any threats and then instantly block them but preferably the AI blocks it by itself
@levelsio
made this video with just 1 prompt in Revid we're building a fully automated motion graphic video generator, and this is what it can already do would you use it?
@tibo_maker
This is so good. I gave my hermes a budget and now I’m getting ‘gifts’ in the mail. Highly recommended.
@tobi
Every company I've worked at, product graphics were always a bottleneck. They're important assets because they help sell the value of the product. But what happens when the product is constantly evolving? I built a tool (inspired by what George Bugg started) where I turned all of out atoms/components into HTML so that anyone internally can create their own product graphics. Because we have amazing guidelines (shoutout Shivani and team) I was able to give it specific constraints, rules, and guidelines. So much more potential for this tool, e.g, product animation or creating demos. I even got a Slack bot to generate graphics without me even touching the tool.
@PaulJun_
Loop Engineering Clearly Explained
@akshay_pachaar
Show Codex a workflow once. Reuse it as a skill. Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request. Codex turns that demo into an inspectable, editable skill. You control when recording starts and stops.
@OpenAIDevs
Introducing /automate, a skill for agents to set up automations for you. Describe your task in plain language. Cursor configures the triggers, instructions, and tools.
@cursor_ai
introducing, the @stripe directory: from the cli, people and agents can search for, and pay, businesses on stripe. > stripe search "serverless postgres database" - payments between two stripe users are free - includes mpp and projects services - join by creating a profile =>
@jeff_weinstein
WTF Is a Loop? Part 2: The 15 Loops People Are Actually Running (and the Commands to Steal Them)
@mvanhorn
5 steps to create amazing videos like the one below from HTML for free: Install @HyperFrames_ in your favorite coding harness (e.g., Codex or Claude Code). Then... 1. Gather your assets Create a project folder and add screenshots, logos, website captures, reference clips, and a frame md to give Hyperframes the raw material for your video. If you have a design md you can convert it to a frame md here:
@petergyang
From Prompting Agents to Loop Engineering
@omarsar0
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
Three Ways Codex Can Use a Computer
@jxnlco
Today we're introducing the world's first influencer Agent. Tell it what you want to promote and it finds creators, reaches out, manages campaigns, handles payments, and gets content live. Try it now at http://okara.ai/influencer
@askOkara
thoughts on long-running AI coding workflows
@Shpigford
Building recursive agent systems
@leerob
If you need AI to do a search for you in the real world, ds4-agent is basically SOTA, because it can access the web sites without any limitations given that it uses your local Chrome browser (no, not in headless mode, that's the trick...), and DeepSeek v4 is great at search.
@antirez
@MatthewBerman /goal refactor until you are happy with the architecture. ensure you live test after each significant step and autoreview/commit. track progress in /tmp/refactor-{projectname}.md
@steipete
We've just added two new Claude Managed Agents features: 1. Scheduled deployments - run tasks on a schedule 2. Environment variables - expose vault credentials for CLIs as environment variables
@ClaudeDevs
I gave Fable 5 a blank folder and made some skills/claude.md and gave it my robinhood agentic trading account with $250 in it let's see what it can do
@mweinbach
We are excited to announce that developers and agents can now provision the same mail-routing intelligence that powers postalform to enable mailing workflows in your own projects! Stripe Projects can automatically create your account, workspace, and let you set spend limits so you can get right into developing. Add mailing infra to your project today with this command: stripe projects add postalform/mail
@postalform
Lots of people asked how I used Fable to edit its own launch video so I made a video about that! TLDR it wrote a lot of code & tool calls to use transcription services, ffmpeg, do colorgrading, use the figma mcp, make remotion UI and render it. I didn't touch a video editor.
@trq212
Here's a simple loop: Tell codex to maintain your repos, wake up every 5 minutes and direct work to threads. That makes it easy to parallelize+steer work as needed. I use a orchestrator skill combined with my triage+autoreview+computer use skills, so some work can land autonomously.
@steipete
wondering why I feel exhausted. maybe: the agents do all the easy stuff, and I have to work through the leftover hard bits, which means I'm perpetually locked in. and as the models get better, "my" work just gets harder and harder, until I'm basically underqualified to do the work (which... is better than the alternative, there's nothing left for me to do, and I'm paperclipped).
@threepointone
3 things I wanted to understand about "agentic loops": 1. What are they actually? 2. Is it hype? 3. What are the real use cases? This is the most practical, clearly explained video on "agentic loops" on the internet (thx @Rasmic) http://youtube.com/watch?v=7clJ8IH784Q
@gregisenberg
You have Claude Fable for only a few days. Here's how to make the most of it. Introducing /improve: use your most capable model to audit your codebase and write plans for cheaper models to execute later. Studies your code, figures out bugs, perf, tech debt, missing tests, what to build and writes plans any agent can run.
@shadcn
drowning in agent prs? watch videos instead! swap github dot com with http://pr.video to generate a video for any pull request.
@vinvan
Had Claude Fable 5 log network packets and display them as cars on a highway, different car types = different packet types
@bijanbowen
Self-Evolving Autoresearch Workflow Loops
@alokbishoyi97
AI is eating the AI Engineering Loop
@lotte_verheyden
Your Agent Harness Should Repair Itself
@akshay_pachaar
Loop Engineering.
@addyosmani
Seeing a number of benchmarks showing Opus is the best model for long-running work. Five tips for running Opus autonomously for hours/days: 1. Use auto mode for permissions, so Claude doesn’t ask for approval 2. Use dynamic workflows, to have Claude orchestrate hundreds/thousands of agents to get a task done 3. Use /goal or /loop, to nudge Claude to keep going until it’s done 4. Use Claude Code in the cloud, so you can close your laptop (easiest way is the desktop or mobile app) 5. Make sure Claude has a way to self-verify its work end to end: Claude in Chrome browser extension for web, iOS/Android sim MCP for mobile, a way to start the full web server or service for backend work
@bcherny