The video compares the GLM-5.3 coding plan structure and argues that Z-Code is the simplest official environment for the model. It describes project indexing, skillsAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work., MCP serversModel Context Protocol is a standard way for AI applications to connect to external tools and sources of context., usage tracking, preview tools, Git integration, browser automation and remote controls.
Most advice focuses on quota efficiency. The presenter recommends stable context prefixes for cache reusePrompt caching reuses compatible computation from previously processed prompt content to reduce repeated model-input work., work outside the provider's reported peak window, matching reasoning effort to task difficulty and combining related instructions into fewer, larger prompts.
For longer work, Z-Code goal mode can explore a codebase, build a task list, continue until completion or blockage and verify resultsAgent completion verification checks evidence that an agent achieved the requested outcome rather than merely producing intermediate work.. The suggested workflow separates exploration and planning from implementation, while starting fresh threads before long context begins to degrade qualityContext engineering designs how relevant instructions, evidence, state and tool information are assembled for a model's task..
The source also discusses optional vision and web search tools, reusable skills and security audits. Pricing, quota, benchmark and capability figures are source claims that may change and were not independently verified for this draft.
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