Before you scale AI agents, measure whether your context is ready for them. Every enterprise wants AI coding agents that can plan, write, test, review, and resolve work with less human intervention. But agent performance depends on context maturity. Can the agent understand blast radius across services? Can it reason across repositories? Can it see whether documentation is current or stale? Can it apply standards during code generation? Can it preserve organizational memory across workflows? If the answer is no, scaling agents may scale uncertainty. The @tabnine Context Maturity Scorecard helps engineering and AI leaders assess whether their organization has the context foundation needed for governed, enterprise-ready AI coding. Take the scorecard: context.tabnine.com/context-… #ContextEngineering #EnterpriseAI #AICodingAgents #AIGovernance #EngineeringLeadership