Add Compound Engineering job to library #181
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Adds a DeepWork implementation inspired by Every Inc's Compound Engineering Plugin (https://github.com/EveryInc/compound-engineering-plugin). The job implements the core methodology: "Each unit of engineering work should make subsequent units easier—not harder." Includes 4 steps: - plan: Transform ideas into detailed implementation plans with research - work: Execute plans with task tracking and incremental commits - review: Multi-perspective code review before merging - compound: Document solutions and learnings for future reuse The README documents: - What DeepWork does automatically (8 features not needing re-implementation) - What the original plugin supports that this version does not (12 gaps) - Suggestions for improving DeepWork based on the gaps (10 recommendations) https://claude.ai/code/session_01EKw7Tc1vwYAH96kaDfq8xY
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Summary
Adds a complete DeepWork implementation of the Compound Engineering methodology, inspired by Every Inc's Compound Engineering Plugin. This job provides a structured workflow for high-quality engineering work that compounds knowledge over time rather than accumulating technical debt.
Key Changes
library/jobs/compound_engineering/with complete implementationjob.yml: Job definition with 4 steps (plan, work, review, compound) and 3 workflow combinationsreadme.md: Comprehensive documentation including:steps/plan.md: Create detailed implementation plans through idea refinement, codebase research, and prior learning checkssteps/work.md: Execute plans systematically with task tracking and incremental commitssteps/review.md: Multi-perspective code review with 8 specialized review anglessteps/compound.md: Document solutions and learnings for future reuseImplementation Details
The Four-Step Workflow
Core Philosophy
Notable Features
docs/solutions/with categoriesWhy This Matters
This job demonstrates how DeepWork can replicate sophisticated AI engineering workflows while being simpler and more portable than the original plugin. The readme's analysis of gaps and suggestions provides valuable feedback for improving the DeepWork platform itself.
The Compound Engineering methodology is particularly valuable for teams wanting to reduce technical debt over time through systematic quality practices and knowledge capture.
https://claude.ai/code/session_01EKw7Tc1vwYAH96kaDfq8xY