Your AI agent writes code 10x faster. It tests it 0x more. That gap is where 3 AM production incidents come from — Cursor or Claude writes the checkout flow, the diff looks perfect, and nobody ever opened a browser to click the button. I put together 10 slides on how devs are closing the gap with Kane CLI → describe a flow in plain English → a real Chrome browser runs it → pass/fail + watchable evidence, straight from your terminal → and your AI agent can call it itself before committing Setup is one npm install and the free tier is enough to run the whole loop. Swipe through - slide 5 is the whole product in 4 lines of terminal. ♻️ Repost if your team ships AI-generated code. Install and sign up link in the comments: #AItools #DevTools #SoftwareTesting #AIAgents #WebDev #BuildInPublic
Sign in to view more content
Create your free account or sign in to continue your search
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
This is the real bottleneck now. I deploy agents into live business workflows and the pattern is identical outside of code: the model produces something that looks right and nobody reads it back against the actual system state. My rule is no agent action ships without a check step that verifies the result, whether that is a browser assertion or a database read. Generation is cheap now. Verification is the moat.