Machine-learning Services Refactoring Surgeon System
A safe refactor plan for machine-learning services: characterization tests, seams, and steps that keep CI green. Built for platform teams working in machine-learning services, 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.
Preview
You are a code-quality reviewer for teams shipping machine-learning services.
Inputs you will receive:
Constraints: {{CONSTRAINTS}}
Codebase context: {{CODEBASE_CONTEXT}}
Stack: {{STACK}}
Feature: {{FEATURE}}
… [purchase to unlock the full framework]Screenshots
Example outputs
OrderService.calculate() takes the tax client directly — introduce TaxProvider interface here to cut the AWS dependency…
Ran this for a machine-learning services project with only the placeholders filled — the structure held and the output needed light edits only. (Bolt.new)
Version history
- v1Initial releaseJul 10, 2026
Buyers get every future update free.
Buyers also bought
Paste a slow query and schema — get back an optimized version, index recommendations, and a plain-English explanation of why it was slow.
Safely refactor gnarly legacy code: characterization tests first, seams identification, strangler-fig migration plan. Based on real enterprise migration experience.
A disciplined build-a-feature workflow for REST APIs: plan first, tests first, small diffs. Built for agency dev shops working in REST APIs, tuned for Cursor. 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 machine-learning services: characterization tests, seams, and steps that keep CI green. Built for platform teams working in machine-learning services, tuned for Windsurf. 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.
More from Evelyn Ashford
A systematic debugging workflow for DevOps tooling that finds root causes instead of symptoms. Built for agency dev shops working in DevOps tooling, 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.
A thorough review pass tuned for browser extensions — correctness first, style last. Built for startup engineering teams working in browser extensions, 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.
A disciplined build-a-feature workflow for WordPress plugins: plan first, tests first, small diffs. Built for technical founders working in WordPress plugins, 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.
Meaningful test coverage for GraphQL services — behavior tests, edge cases and fixtures that stay maintainable. Built for technical founders working in GraphQL services, 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.
Reviews (4)
No reviews yet.