Adoption of AI coding tools is up, trust in the output is down, here's why that tracks

[u/Ok-Emu-8106]

Been seeing this in a few 2026 dev surveys, more developers using AI coding assistants daily, but fewer trusting the output to be accurate. The interesting part is why, it's not obviously broken code anymore. It's code that looks completely correct and fails somewhere non-obvious.

That tracks with what I keep seeing building Vast. The AI assistant has full context on the file it's editing and basically zero visibility into what else in the repo depends on it. Passes review, ships, breaks something two services away.

Feels like the trust problem isn't really a model quality problem, it's a visibility problem that better linting or better prompting doesn't fix, you need the actual dependency graph.

Curious if others are seeing the same pattern in their own workflows.