Is It possible to build a mobile App without coding? You bet. Learn how Rōnin co-founder Ryan Kettry built a game just by talking to Claude Code.
In four days, our Rōnin co-founder, Byron McClain, ported a 600,000-line video game from Windows to macOS, without writing a single line of code himself.
Don’t overlook the “boring middle” of AI development. It’s where the real work happens. Read the full article to understand what actually takes place between the early excitement of kickoff and the final launch.
The basics matter more than the budget. Download our executive guide to see what real AI success looks like and how to achieve it.
We sat down with Byron McClain, Co-Founder of Rōnin Consulting and one of the architects behind our AI initiatives. The conversation explored what defines an actual AI agent, how companies can put agentic AI into practice, and why the future of AI represents more than just another wave of automation.
Realistically, many small businesses, as well as large enterprises, lack a developer on staff who has the time (or acumen) to take on a new AI project. In such cases, the responsibility to learn and implement AI often falls on an already stretched technical team that must also handle day-to-day operations.
Many companies jump into AI with big ambitions—often too big. This article explores why trying to solve everything with one massive AI project is a red flag and shares a smarter approach: starting small, building momentum, and scaling successful AI with clarity and confidence.
Rōnin Partner (and non-developer) Chuck Harris put Vibe Coding to the test by reviving an old passion project—a card-based battle game called Arena. With no formal dev background, he used AI to write over 4,000 lines of JavaScript and build a working prototype. His experiment proved that vibe coding is a powerful tool for rapid prototyping, when used within its limits.
This blog is a summary of a recent conversation between three Rōnins, where they provide AI answers to the most common questions they hear from clients—everything from deployment timelines and infrastructure to token costs and model selection
