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today, for AI coding, you have two options: 1. broken code from gh copilot / chatgpt 2. a vague promise of AI agents that don't work I don't actually believe general purpose agents will work any time soon specialized "micro agents" tho I actually think are really interesting

Steve (Builder.io)

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45,283 просмотров • 2 лет назад •via X (Twitter)

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.Nick Grossman is betting that in the future, AI agents will look more like cloud infrastructure than digital employees. "Part of the Rebel Alliance thesis for us is that agents are moving from personified people you hire to cloud infrastructure." "We're not just talking about, 'Will there be other agents that compete with Claude or ChatGPT?' I think that's one version of what agents look like. Another version is cloud infrastructure where every company that's building any system is going to have agents and the orchestration of hundreds or thousands of agents built into their underlying platform." "If you think of agents as infrastructure as opposed to agents as employees, I think that's where a lot of these forces come into play."

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Coinbase CEO: Stablecoins transactions will grow by more than 100x as AI agents outnumber human beings “The most interesting thing we see now is that AI agents are increasingly transacting using stablecoins. There’s this emerging area called ‘agentic commerce’, and if you believe as I do that eventually there will be more AI agents than human beings . . . and because stablecoin payments are so fast, cheap, and global, I think there will actually be several orders of magnitude more transactions every day — maybe smaller dollar values — as machine-to-machine payments really start to take off.” Source: Norges Bank (Mar 2026)

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bro I sent my AI agent a Google Meet link and it actually joined 😭 Pika real-time video chat for ANY agent is crazy we really out here calling our agents now

bro I sent my AI agent a Google Meet link and it actually joined 😭 Pika real-time video chat for ANY agent is crazy we really out here calling our agents now

aditya

35,303 просмотров • 3 месяцев назад

Boris Cherny: "I don't write code anymore, I just prompt with Claude" he spent 57 minutes explaining exactly where this is all going here's what stood out: > Claude Code grew faster than anyone at Anthropic expected > AI agents are moving beyond coding into every industry > running 1,000 agents in parallel is already happening > SaaS may not survive the agent era if the Head of Claude Code prompts instead of codes, what does that tell you about the next 2 years? that's exactly why I put together an article on Claude features most people don't know exist it will change how you work with Claude completely you can find it below

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HackerRank

343,870 просмотров • 3 месяцев назад

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Dep

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Someone needs to build this! (Even OpenClaw fails at this) AI is now doing +95% of my coding work. And it's too much too fast, so I'll be honest: I skim PRs, but I don't really carefully read the code anymore. Instead, I do manual QA testing to make sure everything still works. But I want my AI agents to do this too! I've tried getting my OpenClaw agents to do QA, but we're just not there yet. So we really need a dedicated tool for this. Let me explain 👇

Someone needs to build this! (Even OpenClaw fails at this) AI is now doing +95% of my coding work. And it's too much too fast, so I'll be honest: I skim PRs, but I don't really carefully read the code anymore. Instead, I do manual QA testing to make sure everything still works. But I want my AI agents to do this too! I've tried getting my OpenClaw agents to do QA, but we're just not there yet. So we really need a dedicated tool for this. Let me explain 👇

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Hoping your coding agents could understand you and adapt to your preferences? Meet TOM-SWE, our new framework for coding agents that don’t just write code, but model the user's mind persistently (ranging from general preferences to small details) arxiv: ❓Motivation: Most coding agents today can plan, edit, run, and test code. But they still fail at a key part of real-world development, understanding the user! Underspecified, shifting, or context-dependent instructions can easily break them. You must have those moments when coding agents were running for 10 minutes and ended up producing things largely misaligned. (1/)

Hoping your coding agents could understand you and adapt to your preferences? Meet TOM-SWE, our new framework for coding agents that don’t just write code, but model the user's mind persistently (ranging from general preferences to small details) arxiv: ❓Motivation: Most coding agents today can plan, edit, run, and test code. But they still fail at a key part of real-world development, understanding the user! Underspecified, shifting, or context-dependent instructions can easily break them. You must have those moments when coding agents were running for 10 minutes and ended up producing things largely misaligned. (1/)

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