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See how machine learning is changing secure SDLC practices, from AI-assisted code review and finding triage to new risks like model supply chain attacks.

94% of engineering leaders say their AI metrics are missing. Here's how platform engineering is changing to close that gap. Based on the InfoQ webinar "Platform Engineering in the Age of AI," featuring panelists from Harness, DKB, and Shine, August 18, 2026. 94% of engineering leaders say the AI metrics that matter most to them are missing.

Based on the LeadDev panel discussion "Governance Is the Platform Problem Worth Solving," hosted in partnership with Harness, August 5, 2026. AI agents are no longer waiting for a human to approve their next move. They open pull requests, adjust configurations, and act on behalf of the people who deployed them — often faster than any review cycle can keep up.

Compare the best Kubernetes cost management tools for 2026, from Kubecost and OpenCost to CloudZero, on allocation depth, scale, and pricing model.

Provision a fresh Docker Registry with Terraform, build your container image into it, and deploy to Kubernetes in one One pipeline. One click. It provisions a fresh Docker Registry with Terraform, builds your container image into it, and deploys that image to Kubernetes. Every run creates a uniquely named registry, so you never hit naming conflicts. Creating Docker registries by hand every time you spin up a new service or environment gets tedious fast.

In the August 2026 SecureIQLab Cloud WAAP v5.0 CyberRisk Validation Comparative Report, Harness Web Application & API Protection (WAAP) was named a Leader. The analysis involves actual lab testing across 12 leading Cloud WAAP vendors and shows scores for each criterion evaluated — and we're thrilled to be one of just six vendors to earn Leader status, and one of only five to meet both of SecureIQLab's "Secure by Design" and "Secure by Default" criteria.

Engineers ignore cloud costs because of broken feedback loops, not apathy. Learn what AI cost management is, why AEO matters more than ever, and how a cost management agent embeds accountability directly into engineering workflows. Engineers ignore cloud costs because cost data arrives too late and too disconnected from their workflow to act on.

The State of Agent DLC 2026 asked 700 organizations already running AI agents how confident they were across five domains: testing, security, inventory, cost, and rollback. Confidence came back between 74% and 77% in every domain we tested. In most of them, the controls that would justify it are not there. “No, I don't have a nanny cam, but I'm sure my kids are OK.

Show to run Pen Testing on Harness : A contained, pipeline-native way to prove releases fail closed under named conditions. Evidence-first, not an exploit — audited on every run.

Every developer knows the fatigue of the "12-tab code review dance": Agents have become first class citizens in SDLC and AI coding agents author code alongside human engineers, thus the above context switching destroys flow state. GitHub's gh CLI proved developers love the terminal, but modern delivery is tied to AI reviews, pipeline executions, risk scoring, and autonomous agents, not just git hosting.