About us
Rōnin Consulting is an AI-first software development agency based in Franklin, Tennessee, focused on helping organizations plan, build, and scale AI-driven solutions. Our events bring together business and technology leaders who want to learn how to apply software development and AI in practical, outcome-focused ways.
Through our small-group workshops, we want to create space for real connection, where professionals can share challenges, explore emerging tools, and walk away with clear, actionable insight.
Far from sales pitches, these workshops create space for leaders, innovators, and technologists to ask questions, exchange insights, and build practical strategies alongside genuine relationships.
Upcoming events
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- $99.00
The Autonomous Coding Agent: Running AI Coding Agents
Belmont University, 1900 Belmont Boulevard, Nashville, TN, USWe're speaking at DataTune!
DataTune is a community-driven technical conference for all levels and roles in the data, analytics, and AI space. Designed by the community, for the community, DataTune is the must-attend event for anyone working with data!
(Learn more about DataTune and buy your tickets here.)Check out our topic:
AI copilots are great at speeding up small tasks, but they break down when the work gets real: multi-step refactors, migrations, test fixes, flaky builds, and “it compiles on my machine” chaos. You end up in a familiar pattern: prompt, patch, rerun, repeat, then babysitting an assistant that can’t reliably cross the finish line.
But the “Ralph Wiggum loop” is a pragmatic alternative: wrap an AI coding agent in a tight feedback loop so it can iterate, validate, and retry on its own until it meets a clear definition of done, or it’s truly blocked. The concept began as a simple looping methodology and has since become an official Claude Code plugin and a broader community pattern for long-running, autonomous coding.
In this session, Byron will break down how the Ralph Wiggum loop works, why it’s effective, and the engineering guardrails that make it safe enough to use on real codebases. You’ll see how to structure tasks so agents can make progress without constant human intervention, and how to design “stop conditions” that prevent infinite loops and wasted spend.
Attendees will learn how to:
- Turn messy work into small, verifiable “agent-sized” tasks
- Define success criteria that the agent can prove (tests, checks, diffs, lint, build)
- Add retry and validation loops without creating runaway automation
- Decide what should be autonomous vs. human-in-the-loop
- Apply this pattern to refactors, migrations, test stabilization, and cleanup work1 attendee
Past events
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