AI tooling stack report for software engineers

This post outlines the emerging AI tooling landscape for software engineers, categorizing tools into IDE coding assistants, enterprise context and knowledge platforms, AIOps/observability assistants, and general-purpose AI platforms. It proposes a two-layer architectural model: an enterprise context layer and coding/interaction surfaces, positioning Glean as the context layer. The post details how AI is being applied in software development workflows (onboarding, coding, incidents) and provides key evaluation questions for AI tooling. It also mentions Glean's integration with IDEs and other tools via protocols like MCP, and its role in providing a unified control plane for AI front doors, model access, cost controls, and observability, aligning with the agent orchestration platform.