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Currently Playing: DeepSeek Harness Tutorial | AI Agent Architecture for Beginners | Build a Practical AI Coding Agent

Learn DeepSeek Harness from core concepts and architecture to a practical AI coding-agent project. This beginner-friendly tutorial explains how an LLM becomes an AI agent by using a harness that provides tools, context, sessions, permissions and a controlled execution loop. We then demonstrate how DeepSeek Harness can inspect a project, run tests, diagnose a failure, request approval, modify code and validate the solution. Topics covered: LLM vs AI agent vs agent harness What DeepSeek Harness is and why it is needed “Everything Is a Plugin” architecture Cordis framework fundamentals Models, system prompts and agent loops Turns, steps and tool-call execution Tools, sessions, context and persistence Profiles, bundles and plugins Planning, delegation and background tasks Workspace access, sandboxing and approvals Installing and configuring DeepSeek Harness Connecting a supported AI model Building a practical coding agent Inspecting project files and running tests Root-cause analysis and safe code changes Custom tools and plugin fundamentals Security and production best practices Common mistakes and interview takeaways Practical project flow: User request → planning → repository inspection → test execution → root-cause analysis → approval → code modification → validation → final summary This video is suitable for developers, AI engineers, solution architects, DevOps professionals and anyone learning agentic AI. DeepSeek Harness is currently in developer preview, so commands, features and configuration may change. Subscribe to Naveen TechHub for practical videos on AI agents, Generative AI, cloud, DevOps and system design. #DeepSeekHarness #AIAgents #AgenticAI #CodingAgent #DeepSeek #GenerativeAI #AIArchitecture #NaveenTechHub