Ioana Berg

A systematic debugging workflow for e-commerce stacks that finds root causes instead of symptoms. Built for startup engineering teams working in e-commerce stacks, 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 GraphQL services: characterization tests, seams, and steps that keep CI green. Built for agency dev shops 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.

A thorough review pass tuned for legacy Java systems — correctness first, style last. Built for technical founders working in legacy Java systems, 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 Python backends. Built for technical founders working in Python backends, 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.

Meaningful test coverage for data pipelines — behavior tests, edge cases and fixtures that stay maintainable. Built for solo developers working in data pipelines, 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.