Introducing ChooChoo
We built ChooChoo because we kept watching great engineers waste hours untangling what an AI agent actually did — and why. Today we're sharing why we think agent traceability is the missing piece in modern software teams.
The problem we kept running into
Every team we talked to had the same story. They adopted an AI coding agent, saw a 2× productivity jump, and then hit a wall.
Not a capability wall. A trust wall.
Pull requests would arrive with changes no one fully understood. Reviewers would approve them anyway — because the code looked fine and they trusted the agent. Then something would break in production and the post-mortem would devolve into "the AI did it."
That's not a useful answer.
What we built
ChooChoo captures a structured trace of everything an agent does: the context it read, the decisions it made, the tools it called, and the output it produced. We call this an Agent Trace.
The trace isn't a log file. It's a first-class artifact — linked to the PR, searchable, and reviewable by any member of your team. Think of it like a flight data recorder for your AI agents.
Why now
Agents are no longer a novelty. They're writing real code, merging real PRs, and touching real systems. The tooling around human engineers took decades to mature — version control, CI/CD, code review, observability. Agent tooling is years behind.
We think traceability is the unlock. Once you can see exactly what an agent did and why, you can review it, improve it, and trust it.
What's next
We're starting with GitHub and Linear. If your team ships with either, you can connect ChooChoo in minutes and start reviewing agent traces alongside your PRs.
Book a call with us — we'd love to hear about your setup.