Longreads from the Rocketship

Over the past several months, our engineering team has been running structured experiments with AI coding assistants like Claude, Copilot, and others across real projects.

The goal was simple: understand where these tools truly add value, and where they fall short.

The results? A mix of magic, frustration, and important lessons for anyone serious about building long-term, maintainable software.

The concept of vibe coding is picking up momentum.

For those unfamiliar, vibe coding is a collaborative, human-in-the-loop development approach where large language models (LLMs) handle the heavy lifting of code generation based on natural language prompts. As a developer, you describe what you want, and the AI takes care of writing, adjusting, and even debugging code. You’re no longer bogged down by boilerplate or fiddling with syntax. Instead, you’re shaping the architecture, guiding the logic, and focusing on the why of what you’re building, not just the how.

It’s an exciting shift. But here’s what’s not being talked about enough:

And in my experience, across countless projects, dozens of teams, and many languages, Ruby on Rails outperforms the rest when it comes to this new way of building software.

Let’s talk about why.

If you're running a Ruby on Rails application in 2025, performance, security, and scalability aren't just technical checkboxes, they're growth drivers. Whether you're a CTO managing a complex Rails stack, a product owner with a legacy app, or a startup founder scaling fast, this guide is here to help you future-proof your Rails platform.

Building your MVP with AI tools or no/low-code platforms is a smart way to move fast and validate early. But at some point, these tools start holding you back - slowing down performance, limiting what you can build, or becoming more expensive than they’re worth. 

We’re thrilled to share some exciting news: JetRockets has been recognized by Clutch.co as one of the Top 15 Ruby on Rails Development Companies of 2025!