In conversations with companies adopting AI in their development teams, a clear pattern emerges: Alongside genuine excitement about new possibilities and fast adaptation, we also consistently hear concerns that slow down the adoption of AI:
“Sometimes it doesn’t do what I want, and I don’t know why.”
“It doesn’t work well for our domain-specific needs.”
“We’re not allowed to use it due to compliance issues.”
“I don’t trust sending our code to a black box in the cloud.”
These concerns point to a deeper issue:…
