AI coding agents don't fail because they're dumb. They fail because they don't know when to stop.

Yesterday we launched MartinLoop on Product Hunt.

The biggest thing we keep seeing with AI coding agents is simple:

They do not fail because they are "bad at coding."

They fail because they do not know when to stop.

That creates a very specific kind of pain:

• the same mistake gets retried over and over
• a small bug turns into a weirdly expensive afternoon
• someone still has to explain what happened after the run is over

That is the whole reason we built MartinLoop.

The job is not to make an agent feel smarter.
The job is to give it a budget, a finish line, and a receipt.

The pattern we keep hearing from teams is basically:

"It wasn't one catastrophic failure. It was 40 small dumb retries that nobody caught fast enough."

That is a systems problem, not a prompt problem.

If you are using coding agents already, the 3 controls that matter most are:

1. A hard budget cap before the run starts.
2. A real verification gate before the run counts as done.
3. A receipt you can read later when somebody asks, "why did this cost so much?"

If that pain sounds familiar, that is exactly what we are working on.

If you want to support the Product Hunt launch, I would appreciate it.
More importantly, I would love to hear the story of the most annoying AI-agent failure you have seen in the wild.