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Shadow IT Is Back - And Vibe Coding Made It 10x Worse

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.

Google Cloud Next '26 Recap: AI, Efficiency, and the Rise of Frictionless Delivery | Harness Blog

‍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. ‍

Resolve Webinar: Introducing AgentLab: The Foundation of the Autonomous Service Desk

Most service desks still operate across fragmented systems. A single ticket can touch 4–7 tools, often more, slowing resolution and increasing cost. Copilots suggest. Traditional automation executes fixed paths. Neither closes the loop. AgentLab changes that. In this webinar, we introduce a new model built on agentic AI and orchestration. One where AI agents don’t just assist. They act, adapt, and resolve.

Scaling Remote Teams in Asia: Compliance Challenges and How EOR Models Solve Them

Asia continues to draw global companies looking to scale their remote workforce, thanks to its deep talent pools and cost advantages. Yet hiring across the region brings layered compliance demands that vary from country to country. The employer of record (EOR) model has emerged as a practical fix, helping firms hire legally and quickly without the cost of building local entities from scratch.

How Financial Institutions Are Rethinking Risk Management in a Digital-First World

Financial services have undergone a rapid digital transformation over the past decade. Nowadays, institutions are able to scale up faster and service customers more efficiently through cloud infrastructure, real-time payments, and API-driven platforms. But this shift also introduced a more complex risk landscape. Risk management is no longer confined to compliance teams and periodic audits. It's now embedded in day-to-day operations. As financial institutions modernize, they need to rethink how they identify, monitor, and mitigate risks across their entire tech stack.

Advanced Tracking Systems For Modern Hunters

Hunters find new ways to navigate the woods with high-tech gear. Staying on the right path is much easier when you have mapping tools in your pocket. These systems help you track movement in any weather condition. Modern hardware keeps you safe and helps you find the best spots for your next trip. These devices offer better precision than the old paper maps many used in the past. You can see your exact location with the push of a button.

Top tips: When "sounds right" isn't right

Top Tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re looking at why convincing AI answers can still be wrong and how to catch them before they slip through. AI doesn’t fail the way it used to. It doesn’t give obviously wrong answers. It gives answers that are just right enough to trust. And that’s exactly why we stop questioning it. It fits into our workflow so easily.

Your Team is Using Claude Code. Do You Know What It's Costing You?

The first two weeks of Claude Code are exciting. The third week is when you realize you don’t have visibility into what it’s doing or what it’s costing you. You would not run a production service without metrics, logs, and dashboards or deploy an API without knowing its latency, error rate, or cost per request.

DORA Metrics in the AI Era: Why Deployment Isn't Faster

DORA metrics in the AI era reveal a paradox: PR volume is climbing, but deployment frequency is staying flat. In this talk, GitKraken's Director of Product Jeff Schinella breaks down why AI-accelerated code generation is creating a review bottleneck that your DORA metrics can't fully explain on their own. Jeff walks through how PR metrics (cycle time, first response time, code churn, and PR size) serve as the leading indicators behind your DORA data. If your deployment frequency is flat while PR counts go up, the bottleneck isn't your devs. It's your review capacity.