Ingrid Müller
Former coding practitioner turned prompt engineer, focused across ChatGPT and Replit AI. If it's in my shop, it ships results.
Prompts by Ingrid Müller5
A systematic debugging workflow for WordPress plugins that finds root causes instead of symptoms. Built for solo developers working in WordPress plugins, tuned for Replit AI. Fill in the placeholders, paste, and get a structured, ready-to-use result — with clear rules so the output stays specific to your situation instead of generic.
A safe refactor plan for React frontends: characterization tests, seams, and steps that keep CI green. Built for technical founders working in React frontends, tuned for Replit AI. Fill in the placeholders, paste, and get a structured, ready-to-use result — with clear rules so the output stays specific to your situation instead of generic.
A structured way to make and document architecture calls for GraphQL services. Built for startup engineering teams working in GraphQL services, tuned for ChatGPT. Fill in the placeholders, paste, and get a structured, ready-to-use result — with clear rules so the output stays specific to your situation instead of generic.
A thorough review pass tuned for mobile apps — correctness first, style last. Built for startup engineering teams working in mobile apps, tuned for ChatGPT. Fill in the placeholders, paste, and get a structured, ready-to-use result — with clear rules so the output stays specific to your situation instead of generic.
Meaningful test coverage for data pipelines — behavior tests, edge cases and fixtures that stay maintainable. Built for platform teams working in data pipelines, tuned for ChatGPT. Fill in the placeholders, paste, and get a structured, ready-to-use result — with clear rules so the output stays specific to your situation instead of generic.