CI/CD

A developer tells Claude Code to commit changes to main, and Claude Code is about to execute git commit && git push. But your team has a rule: no direct commits…

GitHub Actions lets you trigger Claude Code workflows directly from pull requests—enabling @claude mentions in PRs, automated code reviews, security scans, and …

GitLab CI/CD pipelines are YAML-driven workflows that run on every push, merge request, or schedule. Integrating Claude Code into GitLab pipelines means your co…

While Gemini CLI excels as an interactive terminal partner, its true power for DevOps and platform teams lies in Non-Interactive Headless Mode. Running Gemini C…

Git has hundreds of options, but daily work clusters around a short path: inspect an edit, stage it, commit it, publish a branch, and undo mistakes without losi…

A branching strategy answers three operational questions: which branch matches production, where unfinished work integrates, and how an urgent fix reaches users…

Manual deployments are one of the highest-risk activities in software engineering. A developer SSHes into a production server, runs commands from memory, makes …

Deploying web applications manually or relying on basic git-push hooks introduces critical vulnerabilities into production environments. Broken builds, unvalida…

Deploying application updates without taking down production databases requires decoupling database schema evolution from application code deployments. Performi…

Deploying new code directly to 100% of production users in a single release introduces massive risk. A single unhandled edge case or performance regression can …

Traditional continuous deployment (CD) pipelines use push-based models: CI runners execute kubectl apply commands using administrative cluster credentials. This…

Deploying software updates to high-traffic production applications without causing downtime, API errors, or degraded user experiences is a fundamental requireme…