Concept detail
Harness engineering
7 tagged videos · 7 connection videos · degree 0
Publication timeline
- 2026-041 video
- 2026-081 video
- 2026-096 videos
- 2026-102 videos
Source videos
Observed neighbors
fine-tuning
alternating fast-feedback harness iteration with ceiling-breaking fine-tuning forms the sandwich improvement strategy
1 source videos
Improving Agents is a Data Mining Problem — Vivek Trivedy, LangChaingeneralization
Hardcoded scaffolding trades guidance against generalization capacity.
1 source videos
What Building an AI Scientist Actually Requires Beyond Intelligence — Edward HughesGrammar-constrained decoding
Grammar-constrained decoding is a concrete harness-level technique that enforces tool-call correctness without changing model weights, illustrating the harness-vs-training divide.
1 source videos
CMU AI Agents 2026: 1. What are Agents and How Do They Work?infrastructure-as-code
Deployment and runtime provisioning are part of the harness, moving provisioning from clickops into the agent-managed IaC layer.
1 source videos
Harness Engineering: Building the Production Cage for Powerful Domain Agents — Mike Chambers, AWSmodel capability
Co-evolution: harness sophistication is framed as a function of model capability, not a substitute for it.
1 source videos
How Anthropic Builds And How Engineering Will Change Soon | Thariq ShihiparRecursive self-improvement
Harness engineering is the concrete substrate that RSI operates on: the outer loop rewrites the harness rather than the model.
1 source videos
Can Rewriting an AI Agent Bend the Intelligence Curve? - Zhengyao Jiangtool calling and grounding
The harness is the layer that implements tool calling, retrieval, and citations as enterprise controls over model behavior.
1 source videos
How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen