Enable every agent to drive ROI with a robust agent development lifecycle

What this post added

This post introduces the Agent Development Lifecycle (ADLC) as a structured approach to building and managing enterprise AI agents, mirroring the software development lifecycle. It details the stages of the ADLC: Opportunity, Design, Performance, Context, Develop, Launch, and Monitor & Improve. New Glean capabilities are introduced to support the ADLC, including generally available auto-mode agents for autonomous planning and execution, debug and trace views for visibility into agent runs, sub-agents for modularity, an agent sandbox with a file system and code interpreter for secure and complex tasks, an agent library for discoverability and governance, agent access policies for enforcing guardrails, and agent insights for monitoring performance and collecting feedback.