
If you’re skeptical about using AI in your development workflow, start slowly, step by step. Try AI autocomplete first, get comfortable with it, and once you’re ready, try outsourcing some repetitive/scaffolding work to it. Then try asking it to review your code to find potential refactoring opportunities.
Implement what works for you, discard the rest, and soon you’ll rely on it more and more, but in a way that’s not overwhelming or destructive.
Bit by bit, you'll get more comfortable with it, you'll understand how to use it more effectively, how it can speed up your workflow, and why you should use it in the first place.
And you’ll be amazed at how good it really is.
In this hands-on guide, you’ll see how to easily use the Test Case Generator Agent to turn user stories into detailed, structured test cases in seconds, and then convert those cases into automated tests with the Low-Code Authoring Agent.
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Baseline Status for Video
00:00 Why you should automate your testing workflows
00:58 How to opt-in to BrowserStack AI
01:36 Overview of the demo project
03:09 Overview of BrowserStack AI Agents
03:31 How to use the Test Case Generator Agent to create structured test cases
06:03 How to use the Low-Code Authoring Agent to create automated tests
09:10 How to record a test flow using the Low-Code Automation
10:03 How to use AI to control recording flow in the Low-Code Automation
12:14 Why you should start using BrowserStack AI today
Addy Osmani created a fantastic, practical playbook for integrating AI into your daily engineering workflow.
Brajeshwar Oinam explains that the best AI-powered experiences feel inevitable. Not because they’re flashy, but because they make the product work precisely the way you hoped it would.
Join 10,000+ developers at BrowserStack's QA Leadership Summit to watch 20+ AI agents handle test creation, execution, and simplify accessibility compliance. Leaders from GitHub, Nasdaq, and Deutsche Telekom explore how AI is reshaping every stage of testing, with strategies cutting manual effort by 90%.
If you’re skeptical about using AI in your development workflow, start slowly, step by step. Try AI autocomplete first, get comfortable with it, and once you’re ready, try outsourcing some repetitive/scaffolding work to it. Then try asking it to review your code to find potential refactoring opportunities.
Implement what works for you, discard the rest, and soon you’ll rely on it more and more, but in a way that’s not overwhelming or destructive.
You’ll be amazed at how good it really is.
Keith J. Grant shares his experience of trying AI in development workflow.
Laura Klein explains how forcing people to use AI without a proper strategy can create chaos, security risks, and collaboration problems, and outlines a better, strategic approach.
Paul Boag outlines a simple but powerful mental model for working with AI: treat it like an enthusiastic intern with no real-world experience.
Chrome DevTools for coding agents lets your coding agent (such as Gemini, Claude, Cursor or Copilot) control and inspect a live Chrome browser.
It acts as a Model-Context-Protocol (MCP) server, giving your AI coding assistant access to the full power of Chrome DevTools for reliable automation, in-depth debugging, and performance analysis.
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Happy coding,
Zoran Jambor
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A detailed guide to using the AI assistance panel in Chrome DevTools outlining how to use AI Console Insights and AI Assistance for CSS styles on practical, real-world examples.
00:00 How to enable AI features in Chrome DevTools
01:16 How to use AI Console Insights in Chrome DevTools
03:29 How to use AI StyleSheets Assistance in DevTools
04:36 How to test image optimization
07:25 How to get general AI suggestions for the page
08:23 How to get help with implementing a new feature
08:50 How to debug layout shift using AI Assistance in DevTools
13:21 Is it possible to get non-contextual AI assistance?
13:53 How to use AI to better understand page code
15:56 CSS Stickers
16:15 Is AI in Chrome DevTools good?