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# Cursor Features and Practical Usage 🌐 "Just look at the screen and fix it" is now something the AI agent can literally do. Cursor's Browser tool hands the agent control of a browser, covering everything from E2E testing to design-to-code in one loop. 🏷️ Title: Browser Tool 🔗 URL: 📘 Overview The Browser tool lets Cursor's agent directly drive a browser inside the IDE. It can navigate to URLs, click, fill forms, capture screenshots, and inspect console logs and network traffic on its own. The key benefit is closing the loop between visual verification and code changes within a single agent run. ⚙️ How It Works The browser runs as a secure web view controlled via an MCP server extension, and the agent can: ・Navigate: visit URLs, follow links, move through history, reload pages ・Interact: click, double-click, right-click, hover, fill and submit forms ・Inspect visually: capture screenshots as images to verify layout and UI ・Debug: read JavaScript console logs and errors, plus network traffic Logs are written to files and the agent selectively reads only the relevant lines, so it handles huge outputs efficiently. Automatic dev-server detection prevents starting duplicate servers. Authentication cookies, localStorage, sessionStorage, and IndexedDB persist across sessions in the same workspace, so login state survives between verification runs. 🛠️ Practical Usage The design sidebar lets you design and code at the same time. You can visually adjust element positioning, flex direction, alignment, grid layouts, width/height/padding/margin, colors, gradients, shadows, opacity, and border radius with sliders. When the look matches your vision, click `Apply` and an agent translates the visual changes into appropriate code. You can also select multiple elements and apply changes together via hot-reload. Execution safety is governed by approval modes: `Manual approval` (recommended), `Allow-listed actions`, and `Auto-run`. 💡 Use Cases ・E2E testing: fill forms with test data, validate error messages, capture screenshots for visual regression ・Design-to-code: import Figma mockups and convert to pixel-perfect HTML/CSS ・Accessibility audits: check contrast ratios, semantic HTML, ARIA labels, and keyboard navigation against WCAG ⚠️ Caveats The origin allowlist provides best-effort protection only. Link navigation and client-side redirects from allowed domains may still reach non-allowed origins, and manual user navigation bypasses the allowlist entirely. Avoid `Auto-run` with untrusted code, and review allowlist configurations regularly. #Cursor# #AICoding#
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Cursor is sooo much more ahead than competitors for product development, especially after the spaceX acquisition. The killer feature for me is the cloud+desktop environment combo. So we set it up once and then every time you work on a feature you can actually test it on a desktop!! like you can control a miniVPS just for that task. So I've uninstalled all my local setup, like docker, postgres, etc.. because now I do everything in the cloud with Cursor.
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# Cursor Features and Practical Usage 🪝 Want to bake "auto-format on edit" or "block dangerous commands" into the agent's behavior? Cursor Hooks let you intervene at each stage of the agent loop. 🏷️ Title: Agent Loop Interception (JSON) 🔗 URL: 📘 Overview Hooks are processes spawned to observe, control, and extend the agent loop. They communicate over stdio using JSON in both directions and run before or after defined stages of the loop. Use them for formatting, audit logging, secret scanning, and gating risky operations. ⚙️ How It Works Configure hooks in `hooks.json`, with priority Enterprise → Team → project (`/.cursor/hooks.json`) → user (`~/.cursor/hooks.json`). Key events include: ・`beforeShellExecution` / `afterShellExecution`: gate shell commands and post-process ・`beforeReadFile` / `afterFileEdit`: around file reads and edits ・`beforeMCPExecution`, `beforeSubmitPrompt`, `sessionStart`, `stop`, and more Each hook receives JSON on stdin (`conversation_id`, `model`, `hook_event_name`, etc.) and returns JSON on stdout. Control hooks return `{"permission":"allow"|"deny"|"ask"}`, and on `deny` you can attach `user_message` / `agent_message`. Exit code 0 means success, 2 blocks the action (equivalent to deny), and other codes fail open (unless `failClosed: true`). 🛠️ Practical Usage Auto-format after edits with `afterFileEdit`: read the JSON from stdin, pull `.file_path` with `jq`, run `prettier --write` on it, and exit 0. Block dangerous SQL or destructive commands with `beforeShellExecution`: inspect the command string and, if it matches, return `echo '{"permission":"deny","user_message":"This SQL is not allowed"}'`. For PII or secret scanning, register a `beforeReadFile` hook with `"failClosed": true` so that if the scan fails, content is never passed to the model and you fail safe. 💡 Use Cases Enforce formatting, linting, and commit conventions across the whole team. Gate production DB writes or `rm -rf`-style commands. Keep fire-and-forget audit logs via `sessionEnd` or `postToolUse`. Use a `matcher` to filter by tool type or command pattern so the hook runs only when needed. ⚠️ Caveats Mind the working directory: project hooks run from the project root, user hooks from `~/.cursor/`, and wrong paths fail silently. The default is fail-open, so always add `failClosed: true` to security-critical hooks. Invalid output JSON causes the hook itself to fail. Cursor auto-reloads `hooks.json`, but restart if changes do not take effect. Cloud agents support command-type hooks only; `sessionStart`, `beforeMCPExecution`, Tab hooks, and prompt-type hooks are not available there. #Cursor# #DevSecOps#
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Cursor was one of OpenAI’s top-five customers by revenue at the start of 2026. By spring, OpenAI internally estimated Cursor could generate more than $1B in annualized revenue for OpenAI. OpenAI still chose to end the partnership after SpaceX acquired Cursor for $60B.
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Cursor has been a trusted partner of ThePrimeagen since Water Tower 1. We’ll continue to make no mistakes with cloud agents and are excited for what comes next with them at SpaceX.
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Cursor has been a trusted partner of Anthropic since Sonnet 3.5. We’ll continue to increase compute to support Claude models in Cursor and are excited for what comes next with them at SpaceX.
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Cursor just made Cloud Agents much easier to start with You no longer need a GitHub repo or third-party source control before you start building Just hit “Start from scratch” and prompt the agent Cursor creates an Origin repo in the background, gives you a live browser preview while it builds, and when you’re happy with it, you can: • Save the full project as a repo • Keep it private or internal • Continue building from the Codebase • Connect Vercel and deploy directly to a live URL Basically: Idea → prompt → working app → repo → deployed website
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cursor shipped grok bot 0.18.0 with runtime source maps enabled. someone reconstructed the source and published the repo. this is the same class of mistake as pushing a production build with debug symbols or leaving .env in the image. it happens because CI pipelines that work fine in dev don't strip everything for release. after zizmor flagged my npm publish job i pinned every github action to full commit SHA instead of mutable tags. the job that holds NPM_TOKEN and contents:write is the last place you want a swapped action or a poisoned cache. supply chain hygiene is boring until the one build where it isn't.
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cursor shipped grok bot 0.18.0 with runtime source maps enabled. someone reconstructed the source and published the repo. this is the same class of mistake as pushing a production build with debug symbols or leaving .env in the image. it happens because CI pipelines that work fine in dev don't strip everything for release. after zizmor flagged my npm publish job i pinned every github action to full commit SHA instead of mutable tags. the job that holds NPM_TOKEN and contents:write is the last place you want a swapped action or a poisoned cache. supply chain hygiene is boring until the one build where it isn't.
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Cursor is taking on GitHub with Origin, a new code-hosting platform built for an era when AI agents are writing—and increasingly managing—code. Learn more: