... Imagine an AI agent handling customer refunds. It checks the order. It calls the payment system. It decides the refund amount. It executes the refund. Everything looks fine. Except the agent

... comment on my last thread made me rethink how confirmation should work in AI agents. Someone asked: If I ve approved the same action 20 times, why should the agent

... just locked its biggest revision ever, and it quietly changes the unit of distribution from "a user opens your app" to "an agent calls your tool." That's a strategy decision, not an integration ticket. A couple of weeks ago the Model Context Protocol shipped its final 2026-07-28 spec the largest revision since it launched. Most of the coverage was about the plumbing: it's stateless now, it runs on ordinary HTTP, the session handshake is gone. Real ... ... operate a server they matter. But that's not the part I'd flag for makers. The part I'd flag is what MCP has quietly become while everyone argued about transports: the way software gets used by agents

... problem. the agent didn't just act, it acted with someone's credentials, someone's access, someone's blast radius. and when it goes wrong, the audit trail usually can't tell you what the agent

... Svora? ] Svora is an AI-powered workspace designed for the next era of work. Instead of treating AI as a temporary chat assistant, Svora turns AI into an integrated work environment where you can organize knowledge, deploy specialized AI Agents, and form Agent

... that started it. Then I tapped a button a few times over three days once at dinner, once from my phone, once from bed and the whole thing showed up as a single pull request against main. The agent did the engineering. I never read a diff. I never touched my keyboard for it after the first sentence. That is not how handing a big feature to an AI usually goes. So let me show you the actual machine ... ... blueprint I approve, and the loop that grinds under it. The babysitting tax Hand a real feature not a one-line bug fix, an actual  feature   to an agent

... agent projects spend months improving prompts, models, and workflows, then ship to production without asking a few fairly basic questions. Before trusting an AI agent

... Product Hunt Submission Draft ## Product Name remote-browser.dev ## Tagline A remote headed browser for agentic UI testing ## Short Description Build an agentic

... hunters, Termi Protocol is a 3D AI agent workspace for macOS and Windows. Think of it as a desktop GUI for Claude Code, Codex CLI, Copilot CLI and other terminal coding agents

... doesn't even have to be a big dramatic failures, more the small moments where something clicked and you went from trusting the output by default to double checking everything. For me it was watching an agent confidently rename a function across twelve files, then leave the original function untouched in a thirteenth file it apparently didn't search, with zero indication anything had been missed. It wasn't even a hard case, the file just wasn ... ... back in after a week like it always seems to for me? Comment from Grace Lee(@grace_lee26): For me it was less about a big hallucination and more about losing the ability to audit the path. If an agent

... Daily reality: Claude Code in one pane, Codex in another, Cursor in a third, plus a few shells. An agent stops and waits for "yes". By the time I find the right pane, 20 min gone. Just me? What's your setup notifications, layout tricks, or you've accepted the tax? Comment from Konstantin Tikhaev(@konstantin_tikhaev): Left an agent

... built. So this post is half thank-you and half an invitation to keep going on the harder problem underneath it. We've been building ClawTeams, an IM-native platform where you describe an outcome to a "team lead" agent and it splits the work across specialist agents

... Eight days after launching Termi Protocol on Product Hunt, we have completed a major round of improvements based on early user feedback. Termi is evolving into a visual workspace for managing AI coding agents, CLI development tools, agent

... keep flip-flopping between two setups that both feel wrong. Setup 1, babysit: I watch every command and approve everything myself. Nothing slips past me, but I'm stuck at the terminal and the whole point of running an agent is gone. I might as well be typing it myself. Setup 2, let it rip: auto-approve, skip permissions, go do other work. Faster in theory. Except I come back to one of three things. It finished 30 minutes ... ... wasted the half hour. Or it sat waiting on a yes/no I never saw. Or the fun one, it happily ran something I would never have approved. The more agents

... weeks ago, one of our developers pushed a refactor touching one of the agents Latitude runs in production. It looked harmless in review. Every request kept going through and latency stayed flat, but the prompt cache hit rate (how often an AI successfully reuses its cache instead of rereading information), which is normally above 80 percent, fell to 30. For perspective, cache reads cost about a tenth of what fresh input tokens do, so the drop tripled our effective token ... ... hour. Without that loop, a regression like this tends to pop up weeks later in a cost report, and someone spends an afternoon dissecting deploys to find it. Latitude was built around the idea that the system watching an agent

... there has to be a better way. We built ServBay as a traditional local environment manager helping developers install and configure 50+ services (PHP, Node.js, databases, domains, SSL, etc.) with a single click. But with the explosion of coding agents (Claude Code, Cursor, Codex), the way we build has changed. Our "users" are no longer just human developers they are AI agents

... tools like Claude Code, Cursor, and Windsurf to your entire brand library through a single API key. This guide shows designers and brand managers exactly how to set it up and use it in everyday workflows. Key Takeaways AI agent brand asset management is now possible through  Sinqlo's MCP integration no coding required. AI agents

... Agents better; Im maintaining this opensource project to help us all, agents

... agents are becoming part of everyday development, but most repos still don t have a clear way to tell an agent

... context is also a coordination hazard: the moment multiple agents can read and write a common worldview, you've got the same problem databases spent decades on, concurrent writes, stale reads, one agent

... spent most of my career doing non-technical work, and I now build our product, @HeyNews . I got there by talking to AI coding agents night after night. The catch: the agents

... Greg Isenberg ( https://x.com/gregisenberg/statu... ) asked what every SaaS tool looks like if it was built purely for agents. That question stuck with me because I think collaboration is one of the biggest categories that needs to be rebuilt. Most tools today are still human-native: Slack is for humans messaging humans Linear is for humans managing work Notion/Obsidian are for humans organizing knowledge agents

... Introducing Governed Revenue Agents (GRA) Everyone seems to be building AI SDRs. The problem isn't that AI can prospect, research, score leads, or write emails. The problem is that most AI revenue systems operate as black boxes. As AI takes on more revenue work, the question becomes: Who approved this? Why was this prospect selected? What data was used? What exactly happened? That's where Governed Revenue Agents

... part time AI Agents developer and I open sourced many AI Agents

... models train on AI-generated content, they eventually collapse. Not hallucination. Full degradation. After several generations, the output becomes nonsense . Humans are not just a nice addition. They are the only thing preventing the web from eating itself. AI agents already outnumber human visitors Here is the number that should scare you. AI agent