We Need to Talk About Context

In "We Need to Talk About Context," Adam Hicks discusses the critical role of context in understanding and solving problems, particularly in the realm of AI observability. Hicks shares a personal anecdote about receiving a vague message that led to anxiety due to lack of context, paralleling this experience with how AI models operate. He emphasizes that while AI can be adept at tasks like coding, its effectiveness is limited without contextual grounding, as it lacks inherent state or understanding of specific environments. Hicks introduces groundcover's approach to enhancing AI's problem-solving capabilities through the use of Connectors, which integrate various data sources such as Slack, coding agents, and telemetry to provide a comprehensive context. This integration allows AI to more accurately diagnose and propose solutions to issues by connecting contextual dots that humans typically have to piece together manually. The new Connectors, available from June 29, 2026, aim to transform AI from a reactive tool to a proactive partner in incident management, allowing users to focus on directing work rather than manually compiling information.

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