EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 27·5 min read
Harness Engineering
TL;DR
Harness engineering is a method to ensure AI-generated code remains correct and coherent over time by implementing deterministic tooling and agent-based reviews. This approach addresses the drift in code quality that can occur with AI coding assistants.
✦ Why It Matters
Implement harness engineering today to maintain code quality and coherence in AI-assisted development.
Key Takeaways
- Maintain a HARNESS.md for AI context and conventions.
- Implement verification slots for architectural constraints.
- Schedule regular garbage collection to manage codebase entropy.
- Use agent-based reviews for complex constraints before automating.
How It Works
Harness engineering employs a three-loop verification system: an inner loop for real-time suggestions, a middle loop for strict PR checks, and an outer loop for scheduled audits. This structure allows for continuous monitoring and improvement of code quality, adapting to new patterns and constraints as they emerge.