Anya Kahale

A disciplined build-a-feature workflow for machine-learning services: plan first, tests first, small diffs. Built for platform teams working in machine-learning 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.

Meaningful test coverage for e-commerce stacks — behavior tests, edge cases and fixtures that stay maintainable. Built for solo developers working in e-commerce stacks, 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 structured way to make and document architecture calls for DevOps tooling. Built for solo developers working in DevOps tooling, 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 systematic debugging workflow for internal dashboards that finds root causes instead of symptoms. Built for startup engineering teams working in internal dashboards, 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 GraphQL services — correctness first, style last. 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.