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Software for Agents Aaron Epstein The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons. Every major category of software needs to be rebuilt for agents as first-class...

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500,293 görüntüleme • 3 ay önce •via X (Twitter)

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Identity and reputation systems for AI agents transacting on their own don't exist...yet. lincoln.base.eth leads AI Product at Coinbase 🛡️ where closing that gap for autonomous agents is the next frontier. The next billion "users" won't be people. Brought to you by Wrapped and Real Motion

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We’re launching Judgment Labs today and announcing $32M in funding. As AI agents take on more of the work that creates economic value, they generate massive amounts of production data: the clearest record of how they behave with users, software, and the real world. Judgment builds infrastructure for improving AI agents from production data.

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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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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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Today we're releasing the Factory desktop app. A native interface for autonomous AI agents that work across every part of your software business.

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.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.
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Is the rise of FDEs a short-term phenomenon or a continuous feature of the AI ecosystem? “I have a bit of a hot take: I think it's the future for the short term. Right now there's a concentration of people in San Francisco who really know how to deploy agents, eval agents, and be AI first, and that knowledge just isn't out there yet. Eventually it will be. At that point you won't need teams to set up AI agents for every enterprise, and it'll become more of a job function, similar to software engineering.” Do you agree? Do you agree with the dissemination of knowledge FDEs will be needed less Matan Grinberg Nikesh Arora Shyam Sankar

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Sat down with Aaron Levie, CEO of Box, to discuss where AI agents are going, how agentic workflows are transforming software, why agents will require much more memory, and how token budgets for enterprises are evolving. Thank you Aaron Levie for taking the time! 00:00 - Intro 01:30 - Where are we in AI 06:25 - The Role of Agents in Software 11:40 - The Role of Memory for Agents 14:45 - TokenMaxxing 24:54 - Why Are There AI Doomers? 31:50 - Aaron's Take on Nvidia

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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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What if in a few decades the largest consumer of the Internet won't be human? Gaia CEO and co-founder mattwright.eth | .gaia on reimagining software as a service for agentic AI at #KBW.

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Software isn’t merely technical work anymore. It’s creative. Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents. Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.

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58:24

Aaron Levie is one of the greats. He’s been the co-founder and CEO of Box for 20 years, of which public CEO for 10. And he shows no signs of slowing down, as one of the most active CEOs thinking about how AI agents will shape enterprise software. In our Greylock Partners Change Agents, Aaron and I discussed the question: happens when SaaS is no longer built for humans, but for a much larger scale of agents and humans orchestrating those agents? A few of my favorite topics from the episode: - Why 90%+ of enterprise data has gone unused to date and how agents finally make it accessible - Why SaaS categories won’t disappear, but will be rebuilt around agent orchestration layers - Why the system of record doesn't lose importance, but gains importance the enable agents - How abundance (not labor replacement) is the real shift agents bring to knowledge work - And the real moat in the agent era may be neither the model nor the interface but the workflow memory the agent accumulates over time Aaron has one of the clearest, most grounded takes on where agents for the enterprise can go and what happens to traditional enterprise SaaS. Full episode below:

Corinne Marie Riley

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Simple software is dying. Simplicity only mattered when humans had to use every feature. Now that agents can operate software for you, it’s the most capable tool that wins. Fillout reached 12,000 paying customers by focusing on depth over simplicity. It turns out we may have also built the best form builder for agents. Meet the new Fillout:
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Simple software is dying. Simplicity only mattered when humans had to use every feature. Now that agents can operate software for you, it’s the most capable tool that wins. Fillout reached 12,000 paying customers by focusing on depth over simplicity. It turns out we may have also built the best form builder for agents. Meet the new Fillout:

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🤖 "Agents are becoming more relevant to the Internet than humans are," says Charles Hoskinson. Hoskinson adds, "By 2035, the majority of searches, commerce and activity on the Internet will be AI agents instead of people... Humans will be put into a zoo called the human Internet."
1:40

🤖 "Agents are becoming more relevant to the Internet than humans are," says Charles Hoskinson. Hoskinson adds, "By 2035, the majority of searches, commerce and activity on the Internet will be AI agents instead of people... Humans will be put into a zoo called the human Internet."

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Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks Databricks cofounders Matei Zaharia and Reynold Xin explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared harness for coding agents and custom agents, why LTAP and Lakebase rethink the split between operational and analytical databases, why agent security needs contextual policies and spend controls, and why the future of software may be as simple as getting the right data in place and putting agents on top.

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