descriptive claim
After evaluating different providers and vendors, Monaco chose to build many of its tools and systems in-house.
Mihail Eric · [One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco · 8 Nov 2026
In their words
The transcript segments this claim was taken from
“So you know, we spent a lot of time looking at different providers, looking at vendors, and then ended up building a lot of things in-house. So for us, something like a background agent platform, we have our own version of like a ramp inspect, um, that we call Monocoder- ... um, which is, is built on the Coder platform, um, but it is what we use to essentially scale up our engineering productivity.”1:00:09Report a misattribution
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