Eval scores
AssessTechniques
Quantitative evaluation results used to judge agent correctness, safety, and performance.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by product launches, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6The New Stack·7/22/2026product_launchHarness launches AI Agent Development Lifecycle service for governed agent deployment
Harness has launched its AI Agent Development Lifecycle (DLC) service to help teams ship AI agents through familiar governance, testing, and security pipelines. The company says the approach focuses on making the delivery pipeline deterministic with quality gates, eval scores, and full audit records, rather than trying to make agent behavior itself reproducible.