For engineering teams with bigger ambitions for their coding agents.
The first tool designed to make full data capture feasible and economically viable to keep and use.
Searching the codebase
I can update the model and prompts, but the repository has no representative conversations, production ground truth, or cost baseline. You’ll need to assemble an eval set, label it, and define rollout criteria before I can make this change safely.
Connecting code to production
I built an auto-graded eval suite from 12,480 real episodes, found the retry loop driving false answers and spend, and prepared the model, prompt, and tool-fallback changes. I can replay every market, canary the rollout, gate on task success, and verify spend falls from $470 to $145 per day.

“We asked Foam what was going wrong and it answered before we even finished the question. Their CEO stayed in our channel until it was fully useful.”
“Forty alerts a day and none of them meant anything. Now Foam tells us what actually matters and acts on the rest.”
“Before our users even get to ping us, Foam has already explained the issue and pointed us to the cause.”
“I used to lose a whole day checking my changes in prod. Now I just ask Foam and get answers in seconds.”
“Frontend and backend are fully linked now. I ask one question and get the full picture across every service.”
“We asked Foam what was going wrong and it answered before we even finished the question. Their CEO stayed in our channel until it was fully useful.”
“Forty alerts a day and none of them meant anything. Now Foam tells us what actually matters and acts on the rest.”
“Before our users even get to ping us, Foam has already explained the issue and pointed us to the cause.”
“I used to lose a whole day checking my changes in prod. Now I just ask Foam and get answers in seconds.”
“Frontend and backend are fully linked now. I ask one question and get the full picture across every service.”