Harness Router
Product Hunt Kamil Mosciszko
Harness Router is out now: a decision layer for AI coding agents. It routes tool calls before they run, so obvious ones stay fast and tricky ones can escalate.
Based on reporting by Product Hunt, Kamil Mosciszko — read the original for the full story.
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Harness Router launched today as a decision layer for AI coding agents. The pitch is simple: make tool selection faster, cheaper, and more reliable before anything actually runs.
It can sit in as a Codex hook and automatically route every tool call. Or it can be used as a skill, when the agent is supposed to ask for routing on purpose. That split matters. One mode is hands-off. The other gives the agent a little more structure without forcing every choice through the same path.
The system also separates decisions by difficulty. Obvious calls go down the fast path. Ambiguous ones are handed to Jev. More complex, multi-step choices can escalate to MCTS. In other words, Harness Router is trying to keep the easy stuff cheap and reserve the heavier machinery for when the agent really needs it.
That’s a pretty sensible answer to a very current problem: AI coding agents are getting more capable, but tool use is still messy. A routing layer won’t make an agent smarter on its own. It can, however, keep the agent from wasting effort on choices that should never have been expensive in the first place.
My take — AI-written commentary, not fact-checked reporting
This is the kind of plumbing AI teams keep rediscovering after a few painful demos. Not glamorous, but useful. The real story isn’t “more agent magic”; it’s that people are finally admitting tool choice is a system design problem, not just a prompt problem.
Read more about this at: Product Hunt
