Cloud Computing

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.

At Bunnyshell, we’re building the environment layer for modern software delivery. One of the hardest problems our users face is converting arbitrary codebases into production-ready environments—especially when dealing with monoliths, microservices, ML workloads, and non-standard frameworks.

To solve this, we built MACS: a multi-agent system that automates containerization and deployment from any Git repo. With MACS, developers can go from raw source code to a live, validated environment in minutes—without writing Docker or Compose files manually.

In this post, we’ll share how we architected MACS internally, the design patterns we borrowed, and why a multi-agent approach was essential for solving this problem at scale.

LLM-as-a-Judge is a method where large language models like GPT-4 are used to automatically evaluate the outputs of other AI models, replacing slow, expensive human review and outdated metrics like BLEU or ROUGE. By prompting an LLM to assess qualities such as accuracy, helpfulness, tone, or safety, teams can get fast, scalable, and surprisingly reliable evaluations that often align closely with human judgment. This approach enables continuous quality monitoring, faster iteration, and cost-effective scaling across use cases like chatbots, code generation, summarization, and moderation.

The AI era has redefined how we build software - faster iterations, smarter tools, and higher expectations. But with this acceleration comes complexity: heavy local workloads, risky merges, delayed feedback, and slow rollouts. In this new world of generative and agentic AI, traditional dev setups just can't keep up. That’s where Bunnyshell steps in. This guide explores five powerful ways Bunnyshell’s ephemeral environments empower teams to ship faster, test smarter, and deploy with confidence - turning the promise of AI-assisted development into a streamlined, production-ready reality.

Explore the best Heroku alternatives in 2024, with a focus on Bunnyshell's multi-cloud support, ease of use, and powerful automation. Compare top platforms like AWS, DigitalOcean, and Azure to find the perfect cloud solution for your needs.

Bunnyshell, with its ability to automate ephemeral environments, emerges as a powerful solution to accelerate cloud-native development. This article explores how Bunnyshell can revolutionize your development processes, improve team productivity, and become the future of cloud-native development.

What makes a great CTO? Is it technical skills? Mindset? Leadership style?

This is what we’ve tried to answer together with Cornel Fătulescu, Chief Platform Officer at Pentalog, during our CTO Fundamentals webinar series. In case you’ve missed the events or want to review the information from time to time, here are a few highlights. 

Cybersecurity breaches are at an all-time high - the global Covid-19 pandemic and the fact that many businesses are now operating remotely makes companies even more vulnerable to malicious attacks. Despite organizations strengthening their defenses against cyber threats, 95% of cybersecurity breaches are still caused by human error.

As a business, having your product run on a high-performant infrastructure is a must. When everything runs smoothly, your customers have a great experience, and you can see your traffic increase exponentially.

While some customers take an amazing online shopping experience for granted, many will leave in a heartbeat if an eCommerce store gets it wrong. 

And there are a lot of things that can go wrong, unfortunately.