Observability in the Age of AI
Blog post from Honeycomb
Honeycomb's release of the Query Assistant in 2023, a feature backed by large language models (LLMs), allows engineers to generate and execute queries using natural language, thereby simplifying the interaction with telemetry data. The launch of this tool marked a significant moment for the company as it explored the potential of generative AI in enhancing productivity and understanding software development challenges. Honeycomb aims to bridge the gap between AI capabilities and their market realization by focusing on two AI strategies: improving model performance and creating intuitive user workflows. The company emphasizes the importance of combining AI with existing computing systems rather than replacing human engineers, advocating for AI as a tool to augment human capabilities. Honeycomb criticizes the trend of using AI as a superficial enhancement, arguing that AI should be integrated with robust software observability to be effective. As AI evolves from mere guessing to reasoning, Honeycomb is committed to openly sharing its experiences and insights, maintaining customer trust, and contributing to industry advancements.