Category CI/CD

CI/CD and GitOps solve different problems, but they work best together. CI systems validate and build your code. GitOps tools like Argo CD and Flux handle deployment by continuously reconciling your cluster state with what’s defined in Git. When integrated correctly, CI builds artifacts and updates manifests, while GitOps handles the actual deployment. This separation […]

Setting up a CI/CD pipeline for the first time can feel overwhelming. There are tools, configuration files, build stages, environments, and deployment strategies to think about. But at its core, a basic CI/CD pipeline is straightforward. It should do three things reliably: This guide walks through how to set up a minimal, production-ready CI/CD pipeline […]

As projects grow, test suites grow with them. What starts as a 2-minute CI run becomes 15 minutes. Then 30. Eventually, developers wait longer for feedback than they spend writing code. The problem isn’t too many tests. The problem is running all tests for every change. This is where AI-assisted test selection can help. Instead […]

If you’ve worked with CI pipelines for any length of time, you’ve likely encountered this pattern: A test fails in CI.You rerun the pipeline.It passes. Nothing changed in the code. At that point, you’re left wondering whether the failure was real or just noise. Over time, this erodes trust in the test suite. Developers begin […]

AI tools can generate working code in seconds. That doesn’t mean it’s production-ready. Once AI-generated code enters your repository, it must pass the same standards as human-written code. The real question is not whether to trust AI code — it’s how to enforce quality checks on it inside your CI/CD pipeline. The good news: you […]