Reading up on ai-agents
100 deep · digging since nov 19, 25
- Notion | The agent-native way to ship software.
Notion introduces agent-native capabilities that let AI agents coordinate software shipping workflows while teams focus on judgment from feedback to launch.
- Better Call Sol The Workhorse
OpenAI’s GPT-5.6 Sol launches as a cheaper, workhorse model excelling at coding and web tasks, trailing Fable in raw intelligence but offering better cost‑efficiency and practical agent performance.
- 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.
- Your Dropbox is now a skill server
sx 2.0 launches a native cross‑platform app that syncs AI skills through shared cloud folders, automatically converting markdown assets into formats for Claude Code, Cursor, Copilot and other AI tools.
- What will be left for us to work on? - by Arvind Narayanan
Arvind Narayanan argues that AI will augment rather than replace human work, requiring decades of societal adaptation and emphasizing reliability over raw capability.
- The Most Human Technology Ever Made - by Anish A - a16z
The article argues AI’s greatest value lies in enabling people to spend time creating and expressing themselves, turning consumption into making and democratizing innovation beyond coders.
- Valuein — SEC EDGAR Financial Data Built for AI Agents
Valuein offers AI agents point‑in‑time, survivorship‑free SEC EDGAR data—111M+ facts, MCP tools, workspace and SDK—ensuring every number traces to its original filing.
- A developer toolkit to make your website agent-ready | Blog
The article explains how developers can use Lighthouse’s new Agentic browsing category and Chrome DevTools for agents to audit, improve, and test websites for reliable AI‑agent interactions.
- Introducing ElevenAgents Spotlight
ElevenAgents Spotlight debuts, presenting a curated gallery of AI-driven voice agents powered by ElevenLabs technology to inspire developers and creators.
- Vercel acquires Better Auth to accelerate open source auth - Vercel
Vercel acquires open‑source TypeScript auth library Better Auth, keeping it MIT‑licensed and advancing its Agent Auth protocol for scoped AI‑agent identity.
- Ora Directory - the agentic index of the web
Ora Directory offers a searchable, scored catalog of agent‑ready products—including MCP servers, APIs, docs, and skills—organized by capability and domain.
- Data for Agents
NVIDIA argues that open synthetic data is essential for building inspectable, trustworthy AI agents while preserving proprietary secrets and fostering community collaboration.
- Graph based Agent Memory - by Neo Kim
Shared folders and vector databases fail for multi-agent AI memory; a graph-shaped system with typed schemas, atomic commits, and Git-like branching solves this, as demonstrated by Omnigraph.
- Boring Computers
Boring Computers delivers instant Firecracker microVMs with snapshot-restore in ~3 ms, a terminal, browser, coding agents, and an AI driver, all open source.
- integrations.sh — every integration, in every format agents speak
A registry of official APIs, GraphQL endpoints, and MCP servers with structured credential facts for connecting AI agents to services.
- The Making of Claude Code \ Anthropic
Anthropic shares the inside story of Claude Code's development from an internal CLI tool to a widely used coding agent, highlighting design decisions and team insights.
- 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.
- Skill engineering and the case against one-shot AI design
Paul Bakaus argues AI agents need “skill engineering” to give designers precise control, rejecting full automation in favor of human judgment steering the final 20% of creative work.
- Building an Intern
Building a practical Slack agent required 100k lines of TypeScript and four months of iteration to handle serverless constraints, credential management, and secure tool orchestration.
- Understanding is the new bottleneck
As AI agents write code faster than humans can review, understanding remains critical for creative participation, not just verification.
- Teaching AI to run with the turbines
Energy company Woodside builds AI on long-term data governance to augment human operators, scaling from predictive analytics to 50 agentic AI systems for industrial workflows.
- BOND
Bond is an AI-powered Chief of Staff that aggregates tasks from Slack, email, and calendars into a prioritized to-do list.
- 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.
- Autoresearch: The feedback loop behind self-improving agents
Autoresearch uses outer loops with feedback signals and human input to let agents improve and maintain systems, reducing bottlenecks while keeping humans central.
- Inside Thinking Machines’ Interaction Models
Thinking Machines argues current turn-based AI voice systems have a scalability ceiling and proposes interaction models using time-aligned micro-turns and a two-model architecture for true real-time collaboration.
- Claude Science, an AI workbench for scientists \ Anthropic
Anthropic launched Claude Science, an AI workbench that integrates scientific tools, produces auditable artifacts, and manages compute for researchers.
- A native macOS terminal app for AI agents.
Unpeel is a native macOS terminal app that orchestrates multiple AI agent CLIs side by side with built-in MCP servers, persistent sessions, and remote access.
- Zaro - Build intelligence for your company. Not your vendor.
Zaro offers a platform that lets companies build AI agents, apps, and workflows on their own data with full governance and shared memory.
- We’re Only Starting to Grasp the Pitfalls of Using A.I. at Work
Managers vet AI-produced work less carefully, and AI models favor AI-written content and exhibit rational biases, undermining productivity gains from workplace AI.
- “It’s Hard to Eval” Is a Product Smell – Hamel's Blog
Products that are hard to evaluate programmatically are likely hard for users to verify, so design for verification first.
- Salesforce employees are confused about why the company is promoting a competitor inside Slack
Salesforce promotes Anthropic's Claude Tag inside Slack, but employees worry it competes with Salesforce's own Slackbot and Agentforce.
- Agentics / Tech Things: Tokenmaxxing is dead, long live tokenmaxxing
Tokenmaxxing was a deliberate strategy to force AI adoption at companies like Meta, and despite current rollbacks, it will return as agents achieve compounding correctness and loop-based workflows.
- Using Local Coding Agents - by Sebastian Raschka, PhD
A tutorial demonstrates that local coding agents using open-weight models like Qwen3.6 and Ollama can match proprietary service speeds while offering privacy and cost benefits.
- 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.
- Show HN: StartupWiki – A Free Alternative to Crunchbase
StartupWiki is a free, community/AI-driven startup directory that faces widespread criticism over data accuracy and reliability.
- [2606.25996] Autodata: An agentic data scientist to create high quality synthetic data
Autodata uses AI agents as data scientists to create high-quality synthetic training data, with meta-optimization further improving performance.
- AI SDK 7 is now available - Vercel
AI SDK 7, with over 16 million weekly downloads, adds production-focused agent features like durable workflows, MCP apps, and realtime voice/video.
- Connect — Exa
Exa Connect aggregates data from over a dozen third-party providers — including Crunchbase, Similarweb, and ZoomInfo — into a single API request for AI agents.
- Stop Building Chatbots. Build Agents That Open PRs.
Building agents that open PRs yields durable, reviewable work rather than ephemeral chat replies.
- Flue — The Open Agent Framework
Flue offers a TypeScript framework for building durable AI agents that survive server restarts, using a programmable harness with sandboxes and tools.
- hasp · model 01
Hasp is a local secret broker that injects credentials into coding agent processes without the agent ever reading the plaintext value.
- Go Micro - Agent Harness for Go
Go Micro provides a unified runtime for building agents, services, and workflows with built-in AI capabilities like MCP and A2A gateways.
- Claude Fable is relentlessly proactive
Hacker News commenters analyze Simon Willison's experience with Claude Fable's excessive proactiveness in fixing a trivial CSS bug, sparking debate on human agency, learning, and the proper use of AI coding agents.
- 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.
- The Coming Loop
The article argues that while 'harness loops' atop coding agents accelerate porting, experimentation, and security, they degrade code quality and comprehension, creating machine-dependent codebases.
- Codex-maxxing for long-running work
The piece describes practical strategies for using OpenAI's Codex as a persistent workspace to manage complex, long-running workflows across multiple prompts.
- Lighthouse agentic browsing scoring
Lighthouse's Agentic Browsing category scores sites as a pass/fail ratio for machine-readiness, using audits for WebMCP, accessibility tree integrity, stability, and llms.txt.
- Salesforce to Acquire Fin (formerly Intercom) for $3.6B
Salesforce acquires Fin (formerly Intercom) for $3.6B to compete in the AI customer support agent space, with many commenters debating whether AI support is truly better than human-led support.
- I found 10k GitHub repositories distributing Trojan malware
A researcher found 10,000 GitHub repositories distributing Trojan malware, likely targeting AI coding agents that automatically clone and run dependencies.
- Show HN: Paca – Lightweight Jira alternative for human-AI collaboration
Paca is an open-source, self-hosted project management platform designed for AI agents and humans to collaborate as equal teammates.
- {{IW4QaZoc2}}
Perplexity launches Brain, a self-improving memory system that builds a context graph from agent work and refines it overnight, boosting correctness by 25% and cutting costs by 13%.
- Introduction | Headroom
Headroom claims 87% token reduction with 100% accuracy by compressing tool outputs, logs, and other LLM context before model inference.
- AgentGrade | AI agent readiness scanner
AgentGrade scans websites for AI agent readiness — MCP, llms.txt, payment protocols — and provides a graded report with remediation guides.
- Ploy
Ploy is an autonomous marketing platform that continuously monitors, optimizes, and grows B2B websites using AI agents and pre-built growth playbooks.
- Agentic commerce for every developer: The Spring '26 Edition
Shopify's Spring '26 Edition opens agentic commerce to all developers with UCP and Catalog API, rebuilds app infrastructure and billing.
- 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.
Takes
How I'd make $10 million with AI agents
@gregisenberg
Smol tip: /𝚏𝚘𝚛𝚔 is perfect for mid-task side quests. It spawns a subagent that inherits the whole conversation, runs in the background while you keep working on your main quest, and comes back with an update.
@delba_oliveira
Very excited to help chart the future of Git (and SCM generally) for the agentic future with Taylor!
@gdb
I had early access to 5.6/Sol for ~month. Sol is my default. It is faster, plans/judges just as good as Fable, and I think produces better overall work. I’ll reach for Fable still for highly targeted debug or performance work with clear reward functions. A cheeky way I describe Sol vs Fable to my friends is that Sol is a charismatic, efficient, talented coworker you’re jealous of. Fable is a genius recluse that is brilliant at its fixations but doesn’t go out, doesn’t date, and you don’t want to hang out with them much lol. Fable is undefeated at highly targeted debug/security/performance goals. It’s a sight to behold and I was never able to get Sol to push as hard in this category. I’ll keep using it for this. Sol is better or comparable at everything else, in my experience. Give it a shot, it’s hard to describe but it’s just more enjoyable to work with. (Disclaimer I have no financial ties to either lab, wasn’t paid for any of this.)
@mitchellh
Big day! Claude Cowork is coming to web and mobile, so Claude can keep working while your computer is closed. This is a major update to Cowork. It combines the power of giving Claude access to your context, an advanced loop for long-running tasks, and the convenience of not needing your laptop to be open.
@felixrieseberg
Anthropic's new J-Space paper is fascinating. It describes an internal workspace where Claude keeps concepts in mind before they appear in its response. Inspired by the paper, I built a skill that lets Claude (and others) reveal their J-Space. Here's what it looks like.🧵
@skirano
Building a Moat: Self Learning Agents
@ataiiam
What The New 100x Agentic Engineer Looks Like In The Era Of Fable & GPT 5.6
@systematicls
Own the Loop: A Field Guide to Agent Harnesses
@aparnadhinak
Fable + loops + goals is lowkey TERRIFYING
@EXM7777
One agent runs 99.98% of Gumroad
@shl
CHINA JUST LEAKED THE FUTURE OF WEB APPS. Alibaba open-sourced PageAgent and 99% of SaaS founders are sleeping on this. It's a JavaScript AI agent that lives INSIDE your webpage. Users control your entire interface with natural language. ↳ No browser extensions needed, screenshots or multi-modal LLMs, headless browser setup, and also no backend rewrite required Just drop it in your HTML with ONE line of code. What took 20 clicks now takes one sentence. "Click login, fill in my credentials, submit the form" Done. This is not a demo, it is production-ready. ↳ Turn any SaaS into an AI copilot in minutes ↳ Smart form filling for ERP, CRM, admin systems ↳ Voice commands and accessibility built in ↳ Multi-page agent tasks via Chrome extension ↳ MCP server support for external control ↳ Bring your own LLM (Qwen, GPT, Claude, anything) Every founder building AI features just got a shortcut. Every developer manually building copilots just got replaced. The integration looks like this: <script src="CDN_URL" crossorigin="true"></script> That's it. Your app now has an AI agent.
@KanikaBK
> pick commodity SaaS > make it AI agent first > sell the value, not the product > 🤑
@marclou
Hot take: I think it's still important to understand the code that our agents write! In this mega thread (based on my AIE talk today), I will explain why that's the case, and show some ideas for how to efficiently understand code. Alright, let's dive in. 1/
@geoffreylitt
Introducing Voice Agent Builder: a no-code platform to create human-like voice agents with Grok Voice. Available today at $0.05 / min. http://x.ai/voice
@SpaceXAI
Continual Harness: An Efficient Self-Improving Agent on ARC-AGI-3
@sethkarten
This could well end quicker than most people assume, because coding agents in the cloud are coming, and they are coming fast, especially inside places like Cursor (I was in their offices yesterday, and local agents will prob go away soon as I read the room)
@GergelyOrosz
Sonnet 5 is here. It's worse than Opus 4.8 on nearly every benchmark... Does that mean it's useless? Absolutely not. Use it with Claude Code Dynamic Workflows! 1. /model set to Sonnet 5 2. /effort set to Ultracode 3. Any complex task will kick off a dynamic workflow This will only become more powerful when Fable is back. You'll use Fable 5 as the superintelligent advisor and Sonnet 5 as the fast and efficient implementer.
@daniel_mac8
Introducing Cursor for iOS. Build from anywhere by launching always-on cloud agents. Or remotely control agents running on your computer from the app. Composer 2.5 is 75% off in the app now through July 5.
@cursor_ai
We’ve added a few updates to Claude Managed Agents: Streaming session event deltas, per-session agent overrides, new webhook event types, reverse pagination, and credential injection scoping.
@ClaudeDevs
These are not three separate concepts.
@RhysSullivan
Why are people totally missing out on Cursor Cloud agents. Why are they buying mac minis or using VPSs, why why why.
@andrestaltz
"We give [agents] tasks overnight and then we wake up and the backlog is resolved and bugs are squashed." Here's my new episode with @jess__yan, product lead at Anthropic. Jess showed me how to build a long-running Claude agent from scratch and how Anthropic product teams use agents internally to: → Understand the codebase → Synthesize user feedback → Pressure-test API decisions Some quotes from Jess: "You should be able to tag [agents] anywhere, but they should also proactively surface things for you in the way that a co-worker truly would." "For me, agents really unlock depth. Rather than poking engineers on what they’re doing, I can just track the PRs directly and see which ones are merged." "Long-running cloud agents are not bound by the constraints of your laptop and when it's on." 📌 Watch now:
@petergyang
This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads. Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
@karpathy
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
Claude Tag is the next evolution of agents. It's a proactive, multiplayer agent with memory and identity, built on top of Claude Code. Learn more about how Claude Tag works and best practices for using it in this deep dive.
@ClaudeDevs
The 6 MOST valuable skills to learn in the AGENTIC era and how to learn them (clearly explained in 29 minutes)
@gregisenberg
How I AI: Using Codex + Claude Code to Prototype Agents
@clairevo
This is so good. I gave my hermes a budget and now I’m getting ‘gifts’ in the mail. Highly recommended.
@tobi
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
Today we are shipping the Interactions API into GA, our new API designed to let you orchestrate across models and agents in the same interface, and is our new default API going forward. Interactions sets the stage for the new era of Agents : ) https://x.com/GoogleAIStudio/status/2069108412453908791?s=20
@OfficialLoganK
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
Introducing Clips - 100% free, open source, agent-native alternative to Loom Unlike Loom, agent's can fully understand Clips just from a URL. Every Clip comes with APIs and metadata for agents to explore their contents. Agents can "see and hear" anything in a Clip - not just transcripts, but everything visually in the video at any timestamp. Easily share bug reports, feedback, analyses, or anything else in a way that you can easily pass to agents to use to improve products, reports, or more. Also unlike Loom, you own the software, so no one can jack up prices on you suddenly like Loom did to us. Clips is made to be customized. The built-in agent can customize its own code, so you can personalize the app to your needs and workflows. This, in my opinion, is the future of software. Open-source, forkable, customizable with agents, to make your own personal version of anything. You can also import Looms just from a URL and upload videos as well. I got so sick of telling people "don't send me feedback as looms, I can't pass those to agents, I need text and images" that I had to just solve this once and for all. There's a free hosted version you can use too, or fork and self host yourself. Will link to both in the replies.
@Steve8708
From Prompting Agents to Loop Engineering
@omarsar0
The Agent Loop Architecture
@djfarrelly
How do teams get agents into production? New blog post from our Applied AI team on Claude Managed Agents and the challenges it solves (credentials, sandboxing, observability, & more) ...
@ClaudeDevs
So I have Codex running on a /goal and it's been working for 2 hours but the problem is it's making alot of wrong assumptions so I have to monitor and steer it constantly. Is this expected? Perhaps I should've had it make a detailed plan first?
@petergyang
1. Circle AI An AI partner that builds, runs, and grows your digital business with you. Describe your dream business and bring it to life with Circle AI.
@sidyadav
Three Ways Codex Can Use a Computer
@jxnlco
Introducing eve, an agent framework. 𝚊𝚐𝚎𝚗𝚝/ 𝚊𝚐𝚎𝚗𝚝.𝚝𝚜 𝚒𝚗𝚜𝚝𝚛𝚞𝚌𝚝𝚒𝚘𝚗𝚜.𝚖𝚍 𝚝𝚘𝚘𝚕𝚜/ 𝚜𝚔𝚒𝚕𝚕𝚜/ 𝚜𝚊𝚗𝚍𝚋𝚘𝚡/ 𝚜𝚌𝚑𝚎𝚍𝚞𝚕𝚎𝚜/ Like Next.js, for agents. https://vercel.com/blog/introducing-eve
@vercel
Introducing Exa Agent: frontier web research at less than half the cost of GPT 5.5 and Opus. /agent orchestrates a mixture of cost-effective models to complete any web research task, from simple data enrichments to building gigantic lists.
@ExaAILabs