Operations | Monitoring | ITSM | DevOps | Cloud

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.

Internal developer portals need native CI/CD integration to scale effectively. Learn how integrated pipelines improve velocity. Explore Harness IDP. This article explains why internal developer portals require native CI/CD integration to achieve true scalability.

Most Operational Readiness Testing (ORT) programs follow the same ritual. A checklist gets filled out. Someone runs a load test in a war room the week before launch. A failover drill gets scheduled, and everyone hopes it goes cleanly. Then the release is shipped and testing is done. But with Harness you can make this process continuous and your services resilience is protected with the same ORT check list with every small change that is happening in your SDLC.

Developer self-service pipelines fail most often at the handoff between resource provisioning and production deployment. A service catalog might let developers scaffold a new microservice in seconds, but if they still need to file tickets to wire up CI/CD, provision environments, or update deployment configurations, the value proposition collapses. The friction reappears exactly where velocity matters most: the path from code commit to running production workload.

Automated incident response means the platform captures the timeline, key events, and decisions as an incident unfolds, instead of a human reconstructing them afterward. Runbooks fire the instant an incident opens: channel created, bridge spun up, Jira and ServiceNow tickets filed, all within seconds. The AI Scribe Agent joins the video bridge on its own and listens to chat, pulling key events out of both the talking and the typing.

This guide shows platform engineers how to evolve beyond basic service catalogs into golden paths that drive real developer adoption. Learn proven patterns for building Internal Developer Platforms that deliver measurable productivity gains through streamlined workflows, self-service capabilities, and developer-friendly abstractions. Your internal developer platform golden paths launched three months ago. Adoption sits at 11 percent. The service catalog has 247 entries, half of them outdated.

Resilience Testing (RT) Agents scan your CD pipelines and Kubernetes workloads for resilience risk before it reaches production, then generate and run the chaos experiments or load tests needed to confirm it.

This article explores how Harness Internal Developer Portal accelerates continuous delivery by providing self-service workflows, standardized deployment pipelines, and unified service catalogs. Discover how platform engineering teams use IDP to reduce deployment friction, improve developer velocity, and achieve operational excellence across the software delivery lifecycle. Why does achieving continuous delivery excellence feel like pushing water uphill when you already have CI/CD pipelines in place?