Keeping the human in agentic engineering.
AI agents now write a growing share of the world's code. Tenmon exists to keep engineering teams in command of that work — calmly, and without burning out the people responsible for it.
The problem we're solving
When agents contribute code, the work doesn't disappear — it shifts. Every pull request still needs judgment. Every change still needs an owner. As teams add more agents, the volume of activity to oversee grows faster than any person can read, and the result is a quiet, grinding fatigue: engineers drowning in notifications, reviewing endlessly, never sure which contributions actually need them.
That burnout is the real cost of agentic engineering. The bottleneck is no longer writing code — it's the human attention required to steer and trust it.
Our approach
Tenmon was built to observe AI agents, and trust human agency. Agents do the work; humans make the decisions. We read everything your agents write across GitHub and Linear, chart what's shipping, and surface only the moments that genuinely need a person — the review, the question, the judgment call. Those moments are marked in gold , the one signal in the product that means this needs you.
Everything else stays quiet. The goal is a calm, clear view of your AI engineering workforce — so your team spends its attention on decisions, not on keeping up with noise.
Why “Tenmon”
Tenmon is Japanese for “the writing of the heavens.” For centuries, court astronomers watched the patterns of the night sky, reading them for anomalies and meaningful signs so that rulers could act in time. Their craft was not to record every star, but to notice the one that mattered.
That is exactly what Tenmon does for engineering teams. Your agents write patterns across your repositories and tickets the way stars write across the sky. Tenmon reads those patterns, watches for the signals that matter, and surfaces the human decisions hidden in the noise — so you can act in time, too.