Work & Co engineer spent two years integrating Copilot, Cursor, Claude, and ChatGPT into production web development. The result is a concrete, opinionated framework for when and how to use these tools without creating liability for yourself or your team. The core constraint: no secrets, no PII, no proprietary code without explicit policy approval.
The article is worth reading for its specific prompts, not its conclusions. The codebase onboarding prompt alone, which asks the agent for entrypoints, routing, auth, data layer, build tooling, and a ranked reading list of five files, is immediately deployable. The plotly.js v2 to v3 axis label regression example and the multi-file refactor propagation workflow are equally concrete. The test-writing prompt explicitly invokes Kent C. Dodds testing principles as a constraint passed directly to the agent.
The responsible developer framing matters because it defines the ceiling, not the floor. AI handled a GLSL animated gradient shader under a two-day deadline and rebuilt a decade-old requireJS build pipeline that would not run on a 2025 MacBook. The article does not argue AI replaces judgment. It argues AI expands the surface area one developer can cover, provided that developer still verifies every output against primary sources before shipping.
[READ ORIGINAL →]