Operations | Monitoring | ITSM | DevOps | Cloud

Cursor Cloud Agents are the best AI coding environment for individual developers. But for enterprises that need AI-written code to ship through staging to production with audit trails, RBAC, and compliance - there's a gap. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Having workloads on two clouds is not the same as being able to move workloads between them freely. Portability is about the friction of movement, not the number of providers in use. Most teams that call themselves multicloud are not portable. They have separate workloads siloed on separate providers, each with its own toolchain, deployment pipeline, and set of operational conventions. Moving anything between those environments means starting from scratch. That is not portability.

I've had this same conversation with 60+ engineering teams in the last six months. A team adopts AI tooling. One developer figures out how to use it well, builds up a vault of skills, MCP configs, and slash commands that 10x their output. The rest of the team has whatever they can scavenge from a shared Notion doc.

AI has massively accelerated code deployment. In fact, since the introduction of agentic coding, GitHub has seen exponential growth in PRs, commits, and new repos. What they originally predicted would require 10X capacity, they’re now estimating it’s going to require 30X capacity, and the biggest driver is agentic development. Companies across industries are building agentic pipelines to ship features faster than ever before. That acceleration isn’t without risk.

Anthropic just shipped an Enterprise Analytics API with user-level token and cost data. Today, we're shipping the CloudZero adapter that maps that data to teams, budgets, and cost centers — so Claude spend gets the same accountability as the rest of your stack. Anthropic released the first beta of its Enterprise Analytics API this week. Admins can pull token usage and dollar cost through a programmatic endpoint, broken down by user, model, context window, region, and product surface.