Diego Costa

A thorough review pass tuned for browser extensions — correctness first, style last. Built for startup engineering teams working in browser extensions, 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 disciplined build-a-feature workflow for WordPress plugins: plan first, tests first, small diffs. Built for solo developers working in WordPress plugins, 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 Python backends — behavior tests, edge cases and fixtures that stay maintainable. Built for agency dev shops working in Python backends, 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 serverless functions that finds root causes instead of symptoms. Built for platform teams working in serverless functions, 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 structured way to make and document architecture calls for GraphQL services. Built for startup engineering teams working in GraphQL services, 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.