ChatBotKit Basics Topics for agentic AI

Learn what the dark software factory means, why enterprises are discussing it, and which organizational changes are required to make autonomous software delivery work safely.

Learn what a cloud agent harness is, how it differs from local harness approaches, and why managed control planes matter as AI agents move into production.

An agentic loop is the repeating cycle that allows AI agents to work toward a goal autonomously - perceiving their environment, reasoning about what to do next, taking action, and evaluating the result before starting again.

Learn about agent harness, the infrastructure layer that connects AI agents to tools, data sources, and external services while managing execution, authentication, and safety controls.

An AI agent framework is the infrastructure layer that lets autonomous AI agents perceive inputs, reason through tasks, use tools, and coordinate with other agents. Learn how they work, what distinguishes them, and when you need one.

Agentic RAG transforms traditional retrieval-augmented generation by embedding intelligent reasoning into the retrieval process. Instead of one-shot document lookup, agents iteratively analyze queries, select optimal search strategies, evaluate results, and refine approaches-dramatically improving answer quality for complex, ambiguous, or multi-step questions.