AI Code King discusses using GLM 5.2 in a coding harnessAn AI agent harness is the software framework that packages a model with tools, instructions, context management, execution controls, and user interaction., emphasizing that the model is only one part of the workflow. The presenter recommends accounting for account limits and privacyData privacy governs how personal, confidential, or sensitive information is collected, used, shared, retained, and protected in AI systems. before using a service.
The proposed process uses a read-only exploration step, task-specific planning and verification instructionsPrompt engineering is the practice of designing and refining instructions, context, examples, and constraints to obtain useful AI outputs., and a limited set of documentation and browser tools rather than loading every available tool into context.
The presenter recommends inspecting the diffCode review examines proposed source changes to assess their correctness, clarity and suitability before or around integration., testing the actual app and reporting specific failures. The comparison with larger models is presented as the presenters practical assessment rather than a universal benchmark result.
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