Honeycomb announced that it is the first observability platform to launch fully-executing Natural Language Querying using generative AI for its new capability, Query Assistant. This development dramatically scales the platform's query power and makes observability more usable for all engineering levels. By leveraging OpenAI, Honeycomb's new Query Assistant enables developers at all levels to ask questions in plain English instead of a query language. Generative AI then builds a relevant, modifiable query, eliminating the prerequisite for advanced knowledge of query-based languages like SQL. KPMG [3] explains that "by lowering
barriers to entry for new developers on complex codebases, generative AI also will allow companies to do things
that were previously impossible." Integrating  AI into Honeycomb's query engine is a huge step towards making it
possible for everyone on an engineering team to understand code behavior and performance without needing deep familiarity with their code or querying languages. Honeycomb's new Query Assistant is a distinctly different approach to AI compared to what's been done historically by traditional APM and ops tools that apply AI to data analytics for features like automated alerting. This capability uses  generative AI to enhance human intuition by allowing users, no matter how seasoned, to ask questions and get fast feedback on what's happening with their code.