Show HN: A working reference implementation of context engineering

Category: ai-ml

Tags: ai-agents, rag, knowledge-management, prompt-engineering, reference-implementation

Score: 6.8/10 (Innovation: 7, Technical: 5, Documentation: 9, Utility: 6)

This project provides a reference implementation of 'context engineering,' a structured approach for designing, retrieving, and injecting organizational knowledge (like ADRs) into AI systems to produce more accurate, organization-specific outputs. It's interesting because it extends beyond basic RAG by adding output and enforcement layers to make AI-generated content reviewable and governable, framing context as a version-controlled artifact.

Target audience: backend devs, devops, ai engineers

Repository: https://github.com/outcomeops/context-engineering · Python · MIT · 107 stars

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