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The best agents for software development are becoming the best agents for everything. Droids are the best software development agents in the world, reaching #1 on Terminal-Bench. We have raised $50M from NEA, Sequoia Capital, J.P. Morgan, Nvidia, Abstract Ventures, and other industry leaders including Frank Slootman, Nikesh Arora,... show more

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639,194 views • 11 months ago •via X (Twitter)

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This is Claude Code and OpenAI Codex on steroids. Droids just dropped, the best software development agents in the world, reaching #1 on Terminal-Bench. Here’s how to set it up:

This is Claude Code and OpenAI Codex on steroids. Droids just dropped, the best software development agents in the world, reaching #1 on Terminal-Bench. Here’s how to set it up:

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We are in an industry of skills. Industry of agents. For the very first time we have AI agents sitting on top of tools. Agents now can use the tools. The opportunity for agents is gigantic. —Nvidia CEO Jensen Huang and Salesforce CEO Marc Marc Benioff #DF24

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3 months ago we started building an IDE for the AI agents era Today we’re introducing Superset: an open source app for running any agents in parallel. And today we launched Chat 😉, enabling us to build way more superpowers into how users interact with agents (@ context, link Linear tickets, / commands, etc)

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Railway's new remote MCP (and the Railway Agent it accesses) are the best way for agents to work with everything in your Railway workspace. We released it last week and Cody De Arkland takes it and the new updates to the Railway CLI for a spin. Check it out 👇

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Next up on Altimeter Capital First Pass: A conversation with Matei Zaharia from Databricks on Omnigent Agents are in their infancy, and so are the ways we develop and build them. Omnigent is a meta-harness aimed at solving many of the gaps in agent development today

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We cancelled our entire SaaS stack and started running our business with AI agents. Now, we’re building Toyo to help other founders do the same. We're pleased to announce $4.3M in funding from Frontline Ventures, Inovia Capital, Philipp Moehring - tiny.vc, and angels from Amazon, Microsoft, and Cloudflare. For decades software was built for humans to operate. That world is over. We're building for one where agents do the work, while humans direct.

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Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

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Act I : The AI Prophecy

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a16z

40,579 views • 5 months ago

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A

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Y Combinator

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Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.

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17,543 views • 4 months ago

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Watch now how the $ACOLYT Terminal Extension works. A New Era of Integration, Not Competition At Acolyt, we’re not here to compete with industry leaders like Virtuals Protocol, Nansen 🧭, Cookie DAO 🍪, or others. Instead, our mission is to enhance and amplify what they already do, creating a truly connected intelligence ecosystem. This is where Acolyt and Thoughts come into play. We are building an infrastructure that aggregates everything—from data and analytics to cutting-edge tools, human expertise, and AI agents—all in one place. Whether for B2C, B2B, or B2A applications, our goal is to empower users with the best sources, the best insights, and the best decisions. The $ACOLYT Terminal is already operational, currently in the hands of our top-tier whales. Now, we’re taking the next step. 🔹 Monday (17): The terminal will open up for stakers. 🔹 We’ll also be offering limited credits for anyone eager to try it out. We're here to build amazing stuff, and we'll keep pushing until we have billions of agents populating earth. Any feedback is welcomed.

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Condz

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The ceo of Box says if you're not building for agents, you won't exist as a software company in 2-3 years. Aaron Levie recalled how in the 90s, it was mainframes built for institutions. If you didn't build for the CIO or IT org, you didn't exist. You could build software for users, but no one cared. Similarly, in the mid 2000s, it was software built for end users. If you didn't take that route, you got completely trounced. The likes of Yammer, Slack, Zoom, etc., ripped through enterprises with viral adoption. Bottom-up and completely user driven. And now it's software built for agents. We're going to have trillions of agent runs. The systems that optimize for agents the most will win. - lower latency - better API exposure - better system intelligence - serves the right information when called Agents will eventually choose their own tools on the fly and make purchasing decisions at runtime. All based on past experiences/online reviews/performance, sans any procurement process. The more pragmatic version is companies swapping out bad tools / tech that don't work well with agents. - crm doesn't expose the right APIs - auth can't handle agent scale requests - database has too much latency for agent workloads Being good enough for humans won't work because they have to pass the litmus test for agents to make the cut.

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Ivan Burazin

22,655 views • 4 months ago

Hey everyone! I’ve prepared a video with the code snippets I couldn’t show you during yesterday’s Space. We’ve been working non-stop on this project for about 2 months, constantly coming up with new ideas. The possibilities with AI agents are endless, and we aim to develop functional AI agents in various fields over time. The best part? Everything we create is directly available for you to use! 🚀

Hey everyone! I’ve prepared a video with the code snippets I couldn’t show you during yesterday’s Space. We’ve been working non-stop on this project for about 2 months, constantly coming up with new ideas. The possibilities with AI agents are endless, and we aim to develop functional AI agents in various fields over time. The best part? Everything we create is directly available for you to use! 🚀

Node Sphere AI

15,178 views • 1 year ago

Fabrizio Romano 🗣️ "There are movements not only for Morgan Rogers, but also in the centre-back position, because Chelsea are working on several deals at the moment. We also have to mention Maxence Lacroix. Chelsea remain in active and concrete talks with Crystal Palace. All parties are involved in the discussions, including the club owners and the player’s agents." #NG67

Fabrizio Romano 🗣️ "There are movements not only for Morgan Rogers, but also in the centre-back position, because Chelsea are working on several deals at the moment. We also have to mention Maxence Lacroix. Chelsea remain in active and concrete talks with Crystal Palace. All parties are involved in the discussions, including the club owners and the player’s agents." #NG67

SHAYEE 𒀭

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