Chloe Sharma
I build coding prompts exclusively in Lovable. Tested, versioned, and updated whenever the models change.
Prompts by Chloe Sharma5
A disciplined build-a-feature workflow for React frontends: plan first, tests first, small diffs. Built for platform teams working in React frontends, 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 legacy Java systems — behavior tests, edge cases and fixtures that stay maintainable. Built for agency dev shops working in legacy Java systems, 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 thorough review pass tuned for mobile apps — correctness first, style last. Built for agency dev shops working in mobile apps, 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 browser extensions that finds root causes instead of symptoms. Built for agency dev shops 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 safe refactor plan for GraphQL services: characterization tests, seams, and steps that keep CI green. Built for startup engineering teams working in GraphQL 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.