If you thought 2025 was wild, we’re only just starting.

Before 2026 had even started, we ended up with Gas Town which introduces the concept of multi-agent vibe management and orchestration.

Then the concept of Ralph Wiggum loops for development workflows, allowing the agent to create persistent iteration loops it can run for hours. If you want a practical explainer (commands, patterns, guardrails), this write-up is great: Awesome Claude’s Ralph Wiggum guide.

Here’s the one-paragraph version, so we’re on the same page: a Ralph Loop is basically "LLM guess-the-next-token" turned into an actual development loop that can iterate for ages, keep state, run tests, make commits, and keep moving without you babysitting it. oh-my-opencode takes that idea and leans into orchestration: a swarm of small, purpose-built agents, each doing one job well, and routed to the right model for the task.

Some context to get you started.

If you’ve read my recent posts, you know I’ve been down a rabbit hole trying to apply more engineering-focused skills to my daily work. Over time I’ve been spending quite a bit of time going all-in on understanding how the current LLM models are generating code and how effective they can be at building things I might want to use day-to-day.

My current work environment doesn't naturally reward pushing AI workloads into daily workflows. The ecosystem isn't there yet, and as I’m not a 'real' engineer, it's not my general realm to dabble in. 

So what have I started? Well, I used an LLM to generate a Terraform migration script and some test policies to migrate part of our existing Jamf Pro environment, using the available provider, turns out they’re already pretty good at this.

tl;dr: use AI every day and figure out how to make it work for you. Become a 10x individual at home so when business finally…