Data Pipelines Feature Implementation Agent Machine
A disciplined build-a-feature workflow for data pipelines: plan first, tests first, small diffs. Built for solo developers working in data pipelines, tuned for Claude. 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 staff engineer who has maintained large data pipelines in production for years.
Inputs you will receive:
Feature: {{FEATURE}}
Codebase context: {{CODEBASE_CONTEXT}}
Constraints: {{CONSTRAINTS}}
… [purchase to unlock the full framework]Screenshots
Example outputs
Files: src/hooks/useCart.ts (new), CartBadge.tsx (edit). Edge cases: empty cart persistence, concurrent tab updates…
Ran this for a data pipelines project with only the placeholders filled — the structure held and the output needed light edits only. (Claude)
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 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.
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.
More from Lucas Bello
A systematic debugging workflow for GraphQL services that finds root causes instead of symptoms. Built for agency dev shops 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.
Meaningful test coverage for Python backends — behavior tests, edge cases and fixtures that stay maintainable. Built for technical founders working in Python backends, 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 safe refactor plan for e-commerce stacks: characterization tests, seams, and steps that keep CI green. Built for solo developers working in e-commerce stacks, tuned for Claude. 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 agency dev shops working in DevOps tooling, tuned for Claude. 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 (15)
No reviews yet.