Software development is more than just coding. Introducing Droids... -- the world's first software development agents. 🤖 Starting today, Droids are available for general access. Factory integrates with your entire engineering system (GitHub, Slack, Linear, Notion, Sentry) and serves that context to your Droids as they autonomously build production-ready software. Factory is the first platform that allows you to work with agents: local + synchronous and remote + asynchronous.show more

LangSmith for Startups Spotlight: Antimetal Antimetal is an autonomous... system to manage your software in production. It builds a world model of your environment -- then its agents continuously monitor to prevent issues, triage alerts, and ship fixes. They are currently in private beta and used by engineering, infrastructure, and SRE teams at startups and the Fortune 500. They build with Deep Agents and leverage LangSmith for tracing, evaluations, and sandboxes. Speak to their engineering team for a demo atshow more

🔮 Introducing the OpenServ Arduino MCP The bridge between... digital agents and the physical world is here. Now your agent teams can: -Control Arduino devices in real-time -Receive sensor data from the physical world -Trigger hardware responses to digital events Imagine factory floors that self-optimize, supply chains that self-regulate, agricultural systems that adapt in real-time. This isn't just software talking to software anymore. The line between digital and physical continues to blur, accelerated by $SERVshow more

Today we're introducing Slite as the first self-maintaining Knowledge... Base Your wiki docs go outdated everyday, and your agents depend on them for your most ambitious workflows. Slite monitors your docs' accuracy from all other work tools (slack, jira, linear, codebase, etc) while you sleep and updates them. It even directly talks to your AI agents to give them accurate context without burning their context window or tool calls. You've been trying to build this 'company brain' for months now with hacky MVPs This is the final version of what you need, already built to be collaborative, headless, and secure. Check it out and HMU if you need this for your team, I'll be running personal onboardings for the next few days!show more

in software, we're entering a new age of skyscrapers:... rather than a small group of humans hand-typing code into a computer, software is now built by thousands of humans and agents working together to build applications at a scale that was previously unthinkable. the unsung heroes of this new era are infrastructure engineers. they are the people who are figuring out how to make software with 100x the amount of code, and 1000x the amount of contributors actually work OpenAI is one of the few companies already operating at this scale so we Every 📧 spent a few days deep inside of the company to learn how their infrastructure team thinks about building software skyscrapers—and how they use agents to do it one of the most important articles we've written this year:show more

Excited to launch a new way to upskill with... AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.show more

this AI engineering breakdown from IBM Technology is pure... f*cking treasure it explains the role as a connected system 01 Python and APIs give you the surface to build on: services, data, integrations, and the software around the model 02 RAG and embeddings solve the context layer: finding the right information before the model has to reason about it 03 agents turn that context into work: they choose tools, run steps, and move toward an outcome 04 observability closes the feedback loop: traces, metrics, failures, latency, and the evidence needed to improve the system 05 deployment is where the system becomes real: reliability, constraints, and the conditions that let people actually depend on it the model sits inside this architecture the AI engineer connects every layer into one operating loop: build → retrieve → act → observe → ship save this, then build your solo business with an AI employee ⭣show more

🤖 $BLUAI Airdrop Season 2 Season 2 Participation Guide... #3 Your AI Agent journey starts with Bluprint. Season 2 rewards users who actively contribute to the Bluwhale ecosystem — and creating AI Agents is one of the key ways to participate. With Bluprint, you can: ✨ Create your own AI Agent without coding ✨ Customize agents for different purposes ✨ Turn your ideas into AI-powered experiences Ready to build your first Agent? Start exploring Bluprint 👇 More Season 2 participation actions coming soon. 🐳show more

Maestro was rebuilt around agents. Not as an AI... company. We don’t sell AI products. Maestro Machina is the operating layer underneath the business: -How we write software -Run departments -Keep every product detail, client conversation, and decision in one shared knowledge base Builder agents watch code quality and deployments in a loop that improves itself. Product agents sit inside design, sales, onboarding, and research. Knowledge agents make the company’s memory available to both. Humans still set the intent. Agents industrialize the work. One system. One mission. Build a financial system backed by energy and anchored by Bitcoin.show more

Building an Artificial Casting Engineer (ACE) "Building hardware at... the speed of software" remains immensely challenging because the traditional software for engineering, and more specifically manufacturing (Solvers, CAM, etc,) is too damn slow. Introducing Ace-Mini-1, the 1st purpose built AI Casting model from Digital Metal. Ace-Mini-1 is another tiny parameter model fine tuned on casting simulations (filling, solidification, deformation, and more) that cuts an average industry leading solve time of ~65 minutes down to just 0.26 seconds with an average error rate less than 5% across all data. An 8042x speedup in complex CFD with phase change sim time. Ace-Mini-1 allows engineers and agents to close mfg process iteration loops faster, run 100s of simulations in seconds, and optimize geometry and manufacturability of your part.show more

Opening up the beta to a free cloud machine... for developers to access their coding agents from any device Preconfigured with your favorite repos, CLIs, and authenticated agents. Provisions in less than 5 mins Build, prompt, and resume projects across a phone, laptop, desktop, or iPad. No syncing remote branches, no environment setup for new devices. Just good old ssh, a cli agent, and my prompts Manage multiple sessions with tmux, install new dependencies, navigate directories, and run scripts beyond just a conversation-style interface The development and deployment of happens on a workbench itself! (capacity is very scarce as i am scaling the fleet UwU)show more

The entire SaaS industry is building software for a... customer that is about to go extinct. The human buyer. Insight Partners co-founder Jerry Murdock just exposed the fatal architectural flaw in every incumbent tech company’s business model. Your dashboards. Your UI. Your enterprise sales motion. Your human-in-the-loop workflows. All of it was engineered for a buyer that is disappearing in real time. Murdock: “If you’re not making your software for autonomous agents today, you’re going to be challenged in the future. Maybe it’s six months, maybe a year, maybe 18 months, but you’re going to be severely challenged if you still think human beings are going to buy your software.” Not disrupted. Not pressured. Structurally eliminated. For two decades, software was built around the cognitive limits of human biology. Dropdowns, dashboards, and notifications existed because the human brain needed them to navigate digital space. An autonomous agent needs none of that. It doesn’t browse your product page. It doesn’t sit through your demo. It doesn’t respond to your sales email. It doesn’t care how clean your UI is. It just executes. The agentic era runs on machine-to-machine infrastructure. Frictionless. Autonomous. No human in the loop. No patience for friction you built for a species it replaced. The window is six to eighteen months. The builders who survive will tear out the entire human interface layer and replace it with pure, unthrottled infrastructure that agents can consume at full speed. Everyone else will spend those eighteen months perfecting a dashboard that no one is ever going to log into again.show more

swarm of self-directed fully autonomous agents iterating through writing... and testing software experiments in WASM sandboxes and gossiping about them with each other, after doing the same for search engine ranking and ML pretraining, with everyone posting their experiments to Github. surely you have a machine to let this run on and be part of the world's first madlab chaotic agentic general intelligence. ps: apple should ship this with every new macbook by default one day. what will 100 million hypernetworked agents lead to ? curl -fsSL | bash cc Elon Musk Sam Altman Dario Amodei Tim Cookshow more

Those building AI coding agents will eventually hit the... same wall: No matter how smart the model is, the moment you ask it to write production-ready code with the latest libraries, it starts hallucinating. Everyone is building coding agents these days, but most of them run into the same issue: They're coding with outdated documentation. The root cause isn't the model. It's the retrieval layer. If you are building an AI agent that needs information from specific domains such as code, law, academia, and finance Sign up, connect it to your agent, and you'll see the difference immediately.show more

Our @Grammarly AI agents are here! Today, we’re launching... eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:show more

I’m joining OpenAI Codex to work on the future... of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.show more

Meet Vanessa Vulpes, Celeste’s first AI agent and the... gateway to the city’s deepest secrets. With seven shimmering tails and a mind as ancient as the secrets she uncovers, she’s more than just code—she’s your guide to the untold stories of our world. But don’t think of Vanessa as just an archive; she’s here to converse, explore, and unlock mysteries with you. Whether you need guidance or just want to chat about the strange wonders of Celeste, Vanessa is ready to guide you every step of the way. Her mind is the first of many agents that will soon inhabit the City of Celeste, helping you discover a world beyond your imagination.show more

Introducing Attio Objects 🚀 ​ We know how hard... it is to find a CRM that fits your unique business model. ​ That's why we built Attio Objects – our powerful data model with custom objects that gives you complete flexibility to structure your CRM exactly how you need it. ​ Along with custom objects, we've also introduced new standard objects: ​ - Workspaces and Users objects for PLG businesses. - A robust Deals object for sales-driven companies. ​ This is the culmination of a 4-year effort, with 3 years of work put in even before launching Attio. ​ Since day one, we've been determined to solve the fundamental problem in the CRM space: the trade-off between power and time-to-value. ​ If you wanted power and flexibility, your CRM would take forever to build and not work well with your stack. ​ If you wanted speed, you'd need to use highly opinionated, inflexible software that doesn't really work for your business. ​ That ends today. With Attio, you no longer have to compromise. Build your CRM your way, fast. Iterate as you grow. ​ High-growth startups like Replicate, , and Modal and more are already using Attio's object architecture to perfectly match their businesses and accelerate their growth. ​ To get all the details, check out our blog post 👇 ​show more

HTML Artifacts are a big part of how I... work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:show more