Work & Co developer Filip spent two years integrating Copilot, Cursor, Claude, and ChatGPT into production web development workflows. The verdict: AI tools earn their place in seven specific scenarios, from triaging breaking dependency changes to generating GLSL shaders in under two days. This is not a think piece about AI potential. It is a documented list of what actually worked on real client projects.
The responsible developer framing is the core argument worth reading in full. The author defines clear boundaries: get employer approval before using any tool, never paste PII or secrets, treat AI output like code from a stranger, and always verify against official documentation. He upgraded plotly.js from 2.35.2 to 3.1.0, got a fix from ChatGPT for broken axis labels, then confirmed it against the official migration guide before shipping. That sequence matters more than the fix itself.
The internal tooling and legacy code sections are the most underrated parts of the article. The author built a code duplication analyzer with Copilot that exported deltas to Excel, and used an AI agent to modernize a ten-year-old RequireJS codebase that would not run on a 2025 MacBook. The specific Jest prompt, the multi-file refactor method, and the GLSL prototyping workflow are all reproducible techniques that justify reading the original in full.
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