Divya Byrne

A safe refactor plan for e-commerce stacks: characterization tests, seams, and steps that keep CI green. Built for technical founders working in e-commerce stacks, tuned for Lovable. 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 systematic debugging workflow for WordPress plugins that finds root causes instead of symptoms. Built for platform teams 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 structured way to make and document architecture calls for React frontends. 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 disciplined build-a-feature workflow for machine-learning services: plan first, tests first, small diffs. Built for agency dev shops working in machine-learning services, tuned for Lovable. 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 serverless functions — behavior tests, edge cases and fixtures that stay maintainable. Built for startup engineering teams working in serverless functions, tuned for Bolt.new. 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.