Prompt Engineering
The practice of crafting effective natural language descriptions to get better output from AI systems. In GenMB, good prompts specify the app type, key features, data structure, and user flow. More specific prompts produce better applications. Asking the chat for a plan and Project Context complement prompt engineering.
Related Terms
AI Code Generation
The process of using large language models (LLMs) to produce source code from natural language prompts. Modern AI code generators like GenMB produce complete, multi-file applications rather than just snippets, using pipeline stages for validation, generation, error healing, and enhancement.
Project Context
Persistent project notes that carry across chat sessions in GenMB. Write your project's rules, constraints, and terminology as plain text in the Teach the AI panel. The AI reads it on every chat, so it carries across sessions and keeps output consistent with project-specific constraints.
Plan Mode
A former GenMB chat toggle. There is no separate Plan Mode any more: ask the chat for a plan, an explanation or an audit and the AI answers without changing your app, covering components, data models, UI layout and trade-offs. Ask for a change and it builds it.
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