Dev.to1 min read
AI Agents Don't Know When They're Wrong. Here's...
Your eval suite showed 91st-percentile quality scores. Your production logs show the agent confidently told a customer the wrong return policy three times last Tuesday. Both of these facts can be true simultaneously. They usually are. And until more teams internalize why, quality will remain the #1 barrier to production AI deployment — not because the evals are wrong, but because measuring quality and enforcing it are different operations. According to LangChain's State of Agent Engineering 2026
Read original on dev.to0
0Related
Hacker News
$500 GPU outperforms Claude Sonnet on coding benchmarks
Discussed on Hacker News with 377 points and 217 comments.
377
217Hacker News
Whistler: Live eBPF Programming from the Common Lisp REPL
Discussed on Hacker News with 115 points and 13 comments.
115
13Hacker News
Anthropic Subprocessor Changes
Discussed on Hacker News with 98 points and 44 comments.
98
44Get the 10 best reads every Sunday
Curated by AI, voted by readers. Free forever.
Liked this? Start your own feed.
Comment
Sign in to join the discussion.
Loading comments…