When you run a single AI agent, debugging is straightforward. You read the log, you see what happened.

When you run five agents in a swarm, each spawning its own tool calls and producing its own output, "read the log" stops being a strategy.

I built Claude Forge as an adversarial multi-agent coding framework on top of Claude Code. A typical run spawns a planner, an implementer, a reviewer, and a fixer. They evaluate each other's work and loop back when quality checks fail.

But when something went wrong, I had timestamps and text dumps but no way to see which agent was responsible, how long it actually took, or where the tokens went.

Jaeger fixed that.…