Articles about Continuous Integration

Discover the fundamentals of platform engineering, its role in modern software delivery, how it differs from DevOps, and the key skills required. Learn how platform engineering enhances productivity, automates processes, and supports scalable, secure infrastructure.

This article provides an introduction to Environment as Code (EaaC) and explains how it extends the principles of Infrastructure as Code (IaC) to include all aspects of an application’s environment—services, configurations, and dependencies. It highlights key benefits such as consistent, production-like testing environments, faster development cycles, improved collaboration, and cost optimization. Practical examples demonstrate how teams can spin up on-demand environments for feature branch testing, demos, or parallel staging.

AI tools like GitHub Copilot and Cursor help devs ship faster - but QA often becomes the bottleneck. This article shows how preview environments eliminate staging delays, cut QA time in half, and help startups validate AI-generated code safely and quickly.

Everything you need to know about end-to-end testing in 2025 — what it is, how it works, how it compares to UAT, how to use it in Agile, and which tools to use. A complete beginner-to-intermediate guide, including best practices and modern workflows using preview environments.

Feature branches helped developers isolate code changes, but in today’s world of AI-generated code from tools like GitHub Copilot, Cursor, and Windsurf, that’s no longer enough. Startups are shipping more pull requests faster, yet still relying on outdated workflows that delay QA and increase the risk of bugs. This article explains why preview environments — which spin up full-stack, production-like environments for every PR — are a game changer. Learn how they streamline QA, speed up releases, and make testing AI-generated code safe and scalable.

Explore the differences between CI/CD and EaaS to optimize your development workflow, enhance team collaboration, and reduce costs.

Docker layer caching (DLC) is a powerful technique that can significantly accelerate your CI/CD pipelines. By reusing unchanged image layers across builds, DLC not only cuts down on build times but also reduces cloud costs and boosts developer productivity. In this article, we’ll break down how Docker layer caching works, how to implement it effectively, and how to combine it with ephemeral environments for maximum impact.

Preview environments make testing AI-generated code fast and safe. In this hands-on guide, you'll learn how to automatically spin up a full-stack environment for every pull request using Bunnyshell. Works with GitHub, GitLab, Docker, Kubernetes, and more - no DevOps experience required. Perfect for engineering teams using tools like GitHub Copilot, Cursor, or Windsurf who want faster feedback and cleaner releases.

In today’s AI-driven world, SaaS startups can’t afford to stick to outdated development workflows. This article explores how modern teams of 5–20 developers can dramatically boost velocity by combining AI assistants like ChatGPT, code copilots like Cursor, preview environments with Bunnyshell, and smart Git workflows. Packed with practical advice and comparisons to legacy SDLC methods, it’s a must-read playbook for any team that wants to build faster without breaking things.

AI-assisted tools like GitHub Copilot and Cursor are accelerating how fast developers write code — but most teams are still stuck in old testing workflows. The result? Pull requests are opened and merged without thorough testing, bugs slip into production, and QA becomes overwhelmed. This article explores the real reasons why developers avoid testing (hint: it’s not laziness), and shows how adding preview environments to every PR removes the friction. A must-read for startups moving fast with AI but falling short on quality.