Volume 342, Issue 3 · 10 articles from 2 issues
Harness advocates managing prompts and models as governed, testable AI Configs rather than embedded code. Read more
Harness offers a practical guide to Kubernetes cost optimization covering right-sizing, autoscaling and spot capacity. Read more
Harness unveiled a Software Factory platform enabling DevOps teams to manage AI agents with standardized workflows. Read more
Harness reports 94% of engineering leaders say their AI metrics are missing and explains how platform engineering closes the gap. Read more
A survey of 700 organizations finds confidence in AI agents outrunning the controls to test, secure and roll them back. Read more
Harness examines how machine learning is changing security practices across the software development lifecycle. Read more
Running penetration tests as bounded chaos experiments to prove resilience without widening the blast radius. Read more
Bringing the AI code review loop into the terminal so feedback arrives before the pull request. Read more
Engineers ignore cloud costs because feedback loops are broken, not because they do not care. Read more
Harness explains why written AI spend policies fail without enforced, real-time cost visibility. Read more