by RBA | May 12, 2026 | Featured, Insights |
One of the things we have been experimenting with lately is running multiple AI coding agents in parallel using tools like Claude Code. The promise is real — you can hand off several independent tasks at once and get them all done simultaneously. What I found pretty... by Robert Sarvis | May 7, 2026 | Featured, Insights |
As enterprise organizations accelerate adoption of AI-assisted development workflows, conversations are rapidly shifting from “Can we use AI?” to “How do we scale AI responsibly and cost effectively?” With tools like GitHub Copilot moving toward usage-based token... by Robert Sarvis | May 1, 2026 | Featured, Insights |
How I Trained an AI to Actually Be Better at Go For enterprise organizations investing in AI, the difference between experimentation and measurable improvement often comes down to discipline in training, data governance, and benchmarking. Fine-tuning models is not... by Lucas Moen | Apr 24, 2026 | Featured, Insights |
For enterprise organizations, the last year has made one thing clear: implementing AI is not just about choosing a model. It is about building the right architecture, governance, security, and orchestration around rapidly evolving technology. As platforms mature and... by Ethan Ellerstein | Apr 20, 2026 | Featured, Insights |
AI development, SaaS development, vibe coding, software engineering, application security, cloud infrastructure, developer productivity, system architecture, enterprise software, RBA Consulting For enterprise organizations, the rise of AI-assisted development is both... by Robert Sarvis | Apr 15, 2026 | Featured, Insights |
State of the Local Models – Q2 2026 The AI space is moving incredibly quickly, and the local model ecosystem is evolving just as fast. One of my ongoing hobbies (riveting, I know) is benchmarking and testing local models to see what actually holds up in... 