January 2026 Summaries

Sam Rose, a Senior Developer Educator at ngrok, has written an extensive piece exploring the significance of AI benchmark numbers, highlighting their role in evaluating AI model performance. The post delves into the interpretation and implications of these benchmarks, which are crucial for understanding how different AI models compare and perform under various conditions. By analyzing benchmark numbers, developers and researchers can gain insights into the capabilities and limitations of AI systems, aiding in the development and optimization of these technologies. The discussion emphasizes the importance of context when interpreting these figures, as they can vary significantly depending on the specific tasks and environments in which AI models are deployed.

API filtering is now generally available, as announced by Brian Melton-Grace, a Product Manager at ngrok with a background in cybersecurity, SDKs, and authentication protocols. Prior to his current role, Brian held engineering and product positions at Microsoft, McGraw-Hill, and Information Control Corporation.