... difference between a tool an agent chooses to call and a step that runs every time is the difference between a suggestion and a guarantee. Microsoft's Copilot Studio documentation now describes a preview feature called hooks. The definition is plain: a hook runs one of your workflows automatically when something happens in your agent

... October Apple said it will make granting Full Disk Access on macOS require more explicit user action, and it named AI agents as the reason. If you let agents

... CybeDefend is launching again today, introducing a one command line to secure coding agents, @Cursor , @Claude Code and else. Highlighting here some comments from the community. To get started: npx -y @cybedefend/vibedefend@latest install Does the agent

... While building AI agents, I ve run into a problem that seems bigger than any single agent

... Product Hunt Family, We ve been building something we think the AI agent ecosystem is missing. Domain experts have knowledge worth paying for, but their income is capped by their calendar . One consultation, one hour, one client at a time. AI agents

... 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

... 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

... than anecdotal. Which points at a gap this thread has not named. Every gate here sits between agent and tool, and you correctly added 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

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

... 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 ... ... file is the same bug wearing different clothes, the tool reported on what it searched rather than on what existed, and nothing in the output tells you which one you got. Comment from Shivangi Tripathi(@roguetink): I had an agent

... 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

... 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 Alex Gidirim(@alex_gidirim): @hellokidder01  The task-summary idea is a quick fix worth trying. The slower piece is reconstructing your own reasoning from before ... ... switched away, and a summary of the 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

... 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

... founders, developers, and teams running AI coding agents like Claude Code, Codex, Cursor, OpenCode, or custom agents

... approvals, failures, are per-agent properties, and dependencies is the one that's between agents

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