Vercel just made browser automation way more reliable, and that’s a big deal for AI coding. In this video I break down why browser automation is one of the highest-leverage tools you can give a coding agent: it lets the agent validate its own work after implementing a feature. If your agent can’t spin up the frontend, click around like a user, and capture artifacts (like snapshots/screenshots), you’re stuck doing manual validation and then relaying issues back—there’s no real autonomous loop. I’ve used Playwright MCP for a long time (and it’s still solid), but I kept hitting reliability issues. So I finally tracked it with real testing: Vercel’s Agent Browser CLI hit ~95% first-try task completion, while Playwright MCP and Chrome DevTools MCP landed around ~75–80%. The key difference is the interaction model. Traditional tools rely on selectors/searching (non-deterministic matching), while Agent Browser takes a snapshot and returns condensed element references (like @e1, @e2), which is more token-efficient, faster, and way less flaky. I also show how I install it, how I add the skill.md into my Claude Code skills so Claude instantly knows the commands, and I demo a full “validate the app like a user” workflow. The bigger takeaway is Vercel’s “less is more” philosophy: fewer, more flexible tools can actually increase success rates—sometimes dramatically.