Agentic Engineering

AI is moving from suggesting the next line of code to planning and executing entire bodies of work. This topic follows that transition through coding agents, orchestration patterns, evaluation systems, tool protocols, context management, permissions, and the human controls that keep autonomous workflows useful.

The emphasis is practical: how these systems behave on real repositories, where their economics break, what security boundaries they require, and which implementation choices produce dependable software rather than impressive demos. Product announcements belong here only when they change how engineers build, supervise, or verify agentic systems.