
r/Agentic_AI_For_Devs

How to handle AI agent security with zero-trust when agents need flexibility to do their job
I'm struggling with what happens when an agent gets denied halfway through a task. With a person, a permission failure is annoying but they can stop and deal with it. An agent might already be several steps into a workflow and leave things half finished. I still want access denied unless the agent is supposed to have it, but I'm trying to figure out how people do that without turning every permission change into another broken workflow.
Build a chrome extension & more with Antigravity and Antigravity CLI
From one of our Mods the one and only u/soundDR
Description from the video:
In this walkthrough, we use Antigravity 2.0 to build two complete custom automations across the Chrome and local OS.
Prompt: Act as an expert Chrome Extension developer and build a Manifest V3 extension that automatically organizes unpinned tabs into native Tab Groups based on their last-accessed time. The time buckets must be exactly: Today, Yesterday, This Week, Last Week, This Month, Last 90 Days, and Archived, calculated strictly using the user's local timezone. When a tab becomes active, its timestamp should update via TTL logic and it should immediately move to the 'Today' bucket. This organization logic must be isolated per window (no cross-window tab moving) and must maintain a stable, fixed left-to-right visual sorting of the tab groups. Persist all tab timestamps using 'chrome.storage.local' to survive browser restarts and Service Worker suspension. Ensure you ignore pinned tabs entirely, and heavily debounce the 'chrome.tabs.onActivated' and 'onUpdated' listeners to prevent Ul flickering and Chrome API rate limits. Please output the complete 'manifest.json' and the 'background.js' service worker code.
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Google Antigravity is an agentic development platform, evolving the IDE into the agent-first era. Antigravity enables developers to operate at a higher, task-oriented level by managing agents across workspaces, while retaining a familiar AI IDE experience at its core. Agents operate across the editor, terminal, and browser, enabling them to autonomously plan and execute complex, end-to-end tasks elevating all aspects of software development.
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