Anthropic engineers show how to build eval harnesses for reliable agents
iamrobotbear · x · 2026-07-24
A 45-minute Anthropic engineering session breaks down how to test autonomous systems more systematically, with help from a Notion PM.
- The discussion focuses on moving from raw text-output evaluation to agent outcome evaluation.
- It covers the architecture of an eval harness, turning production failures into test tasks, and calibrating code-based checks against LLM-as-a-judge.
- It also explains how to structure regression and capability test suites, with the larger point that reliable agents need harnesses, regression suites, and end-state verification.
More from Multimodal
- Nine open-source voice and audio AI repos you can run right now — JafarNajafov · 2026-07-24
- Hyper3D Rodin is moving from 3D models to interactive animated assets — xiaohu · 2026-07-24
- Hyper3D’s BANG to Parts splits 3D models into editable components — xiaohu · 2026-07-24
- Hyper3D Rodin’s BANG turns part-level 3D models into interactive assets — xiaohu · 2026-07-24
- Hyper3D adds manual split selection for cleaner 3D part decomposition — xiaohu · 2026-07-24
- Reddit shares a Dalí-inspired surreal AI video called Omyra — No-Object-1791 · 2026-07-24