Headlines
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.
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Quick Tip
AI Developer Skeptic? Start Here.
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.
Zoran Jambor
Articles & Tutorials
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.
Tools & Resources
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.
Until Next Week
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Happy coding,
Zoran Jambor