Operations | Monitoring | ITSM | DevOps | Cloud

It’s becoming increasingly clear that AI-generated code can create real challenges once it reaches production. At Harness, we’ve been focused on innovating fast and solving those problems, so teams can move quickly without sacrificing reliability. In the past 30 days, we delivered 70+ new features.

‍Summary: Google Cloud Next ’26 focused on the future of software delivery, emphasizing that AI, platform consolidation, and an urgent push toward efficiency are reshaping the Software Development Life Cycle (SDLC). The key takeaway from the event was that organizations are moving from AI experimentation to operationalization, actively consolidating fragmented tools onto end-to-end platforms that embed AI for control, intelligence, and speed. ‍

Before I worked in tech, I worked in logistics. I saw a specific pattern repeat itself at office supply companies over and over, until I could see it coming before the customer did. The pattern went like this. A small office supply company would sell paper and pens to local businesses. One day a customer asked, "can you deliver a box of paper?" The salesperson said yes, drove the box over in their car after work, and thought nothing of it. The customer told their friend.

AI coding tools are the new Shadow IT - but instead of rogue Trello boards, they have OAuth access to your code repos, cloud accounts, and production databases. Here's what's already gone wrong, and how platform engineering fixes it. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

This straightforward guide will help you understand GCP storage pricing without the jargon. Understanding where your cloud spend goes enables you to pinpoint who, why, and what drives your cloud costs. This visibility supports informed decisions about reducing unnecessary spend or increasing investment in high-return areas.

Key takeaway: Real cloud strategy isn't about running the same workload everywhere at once; it’s about the freedom to move when you need to. By standardizing the unified configuration file, Upsun enables true cloud optionality, moving provider migration from a re-architect project to a data move project.

The question for enterprise AI in 2026 is no longer just which model. It’s which harness. An agent harness is the system around the model. It decides what the agent remembers, what context it sees, what tools it can call, what it is allowed to do, and what happens when it is wrong. The model provides intelligence. The harness provides control. This is where the real engineering is happening.

TLDR: Today, Harness is introducing the Harness Cursor Plugin, bringing the power of the Harness AI-native software delivery platform directly into Cursor. This integration, along with the Harness Secure AI Coding hook for Cursor, allows developers and AI agents to move from code changes to vulnerability detection, CI/CD execution, security validation, approvals, deployments, and operational insight without leaving the editor. AI has completely changed how we write code.