21 articles tagged with Automation.
GitLab is capping unauthenticated API calls at 60 an hour starting October 19, and the preview windows land before most teams will have noticed.
Running a coding agent on a laptop is a preference. Running one in a pipeline is an architecture decision about credentials, sandboxing, and non-interactive failure.
Run only the CI jobs a change actually affects using if conditionals, trigger path filters, and per-job path detection in a monorepo.
A prioritized toolkit for cutting CI time: measure the critical path first, then cache, parallelize, run only what changed, and shrink the work itself.
Most GitHub Actions pain comes from the same handful of jobs done wrong. This is the map: the recipes that make pipelines fast, secure, and cheap.
Stop re-downloading the same packages on every CI run by caching dependencies with keys that actually hit.
Terraform, OpenTofu, Pulumi, CDK, CloudFormation, Crossplane, and Ansible each solve a different slice of the IaC problem. This is how they compare on license, language, state, and cost.
Every CI/CD platform claims to be fast and easy. The real differences are in pricing, self-hosting, and where each one falls apart at scale. This is the map.
Buildkite runs the control plane and lets you own the compute; Actions keeps everything close to your repo. Here's how they actually differ once you scale.
Woodpecker forked Drone when the license changed. Here's how the two compare for small teams and homelabs that just want simple container-native CI.
A team was burning 40,000 CI minutes a month and could not say why. Here is how GitHub Actions billing actually works and where the money leaks.
One bundles your whole toolchain, the other lets you build anything from parts. The right pick depends on how much glue you want to own.
