"Over the last two years, my team at Work & Co and I have been testing out and gradually integrating AI coding tools like Copilot, Cursor, Claude, and ChatGPT to help us ship web experiences that are used by the masses. Admittedly, after some initial skepticism and a few aha moments, various AI tools have found their way into my daily use."
"We have to make sure that we deliver quality code as expected by our stakeholders and clients. Our contributions (i.e., pull requests) should not become a burden on our colleagues who will have to review and test our work. Also, in case you work for a company: The tools we use need to be approved by our employer. Sensitive aspects like security and privacy need to be handled properly: Don't paste secrets, customer data (PII), or proprietary code into tools without policy approval."
AI coding tools accelerate everyday development by handling repetitive tasks, guiding navigation through large legacy codebases, and enabling low-risk experimentation with unfamiliar languages. Teams have been integrating tools such as Copilot, Cursor, Claude, and ChatGPT to help ship widely used web experiences. Responsible use requires delivering high-quality code, minimizing review burden on colleagues, and following employer-approved tooling policies. Sensitive information must never be pasted into external tools; security, privacy, and proprietary concerns require formal approval. Always test and verify AI-generated outputs before merging. Examples and techniques focus primarily on JavaScript-based web applications like React and Vue.
Read at Smashing Magazine
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