CI/CD in the Era of AI and Platform Engineering: A Deep Dive into Dagger CI (Part 1)

Part 1: The CI/CD Bottleneck Nobody Talks About Platform Engineering matured how we provision infrastructure. It hasn't touched how we build and deploy code. CI/CD was, a decade ago, at the heart of the DevOps revolution. It deeply transformed the way we ship software by providing continuous automation workflows from code to production. It hasn't changed much since then. And like every tool that has been continuously used for so long, the more years pass, the more the flaws and frustrations seem obvious. The "traditional" way of building CI/CD nowadays often feels cumbersome and rusty. Among the almost always recurrent flaws that any DevOps engineer has witnessed: Lack of development ergonomics. For most technologies, the only way to really test pipelines is by pushing the code to the server, waiting, and iterating. It's inefficient and time-consuming. The feedback loop for CI/CD code is worse than for any other code in your organization. YAML sprawl. As soon as pipelines require more