Macaron

The Agentic Era marks a transformative shift from traditional application-centric computing to a new frontier defined by agentic AI, autonomous, context-aware systems capable of acting, learning, and collaborating within complex, dynamic environments. These intelligent agents don’t just respond to commands; they perform complete tasks, retain memory and context via large language models tailored for specific domains, and can scale across industries into the tens of millions. This evolution brings the need for a new operational mindset, AgenticOps, and a reimagined management interface built around three guiding principles, keeping humans thoughtfully in the loop to provide creativity and judgment, enabling agents to operate across siloed systems with cross-domain context, and deploying purpose-built models fine-tuned for their distinct tasks. Cisco brings this to life through AI Canvas, the industry’s first generative, shared workspace driven by a multi-data, multi-agent architecture.

​Autonomy AI is an AI-powered platform designed to accelerate front-end development by integrating deeply into a company's existing codebase and workflows. It operates within the organization's stack, automatically reusing and adding to the design system and existing codebase, much like a human developer, thereby reducing technical debt before it starts. It is powered by the Agentic Context Engine (ACE), which understands the intricacies of the codebase, analyzes the nuances of Figma designs at a superhuman level, and keeps track of all this knowledge as it works. AutonomyAI works inside the workflow with a deep understanding of libraries, configurations, and company standards to create organization-specific, production-grade code, optimizing every stage of development. It functions as an organic part of the development team, understanding tasks autonomously, iterating independently, incorporating feedback seamlessly, and working rapidly.