10 Production AI Prompts That 10x My Coding Speed as a Full-Stack Engineer A full-stack engineer published a set of 10 production AI prompts for coding assistants, built around an R-C-C-O framework that constrains models with a senior engineering role, environment specifications, and explicit prohibitions against anti-patterns. The prompts target tasks including strict TypeScript migration, Next.js 15 Server/Client Component splitting, idempotent Stripe webhook handlers, PostgreSQL query-plan analysis, leak-free Scikit-Learn pipelines, OWASP Top 10 audits, and multi-stage Dockerfiles with a sub-120 MB image target. Most developers interact with AI coding assistants like an interactive Google search: "Write a function to authenticate a user in Next.js" The model responds with a 3-year-old snippet using deprecated syntax or insecure patterns. You then spend the next 45 minutes fixing TypeScript errors and patching security holes. The secret to getting production-grade code from Claude, ChatGPT, or Gemini is Prompt Architecture : constraining the model with a senior engineering role, environment specifications, and explicit prohibitions against anti-patterns. Every prompt below follows the R-C-C-O Framework : any types . Here are 10 battle-tested prompts you can plug directly into your workflow: ROLE: You are a TypeScript Core Contributor. TASK: Migrate the following JavaScript code to strict, idiomatic TypeScript 5.