Wappler documentation
AI Development
Guided AI development in Wappler from first prompts to advanced full-stack generation, verification, and comparison workflows.
Start in the AI Manager when the task spans pages, App Connect, Server Connect, Database Manager, migrations, Problems panel fixes, or any cross-file outcome. From there, branch into beginner, builder, advanced, and comparison tours as needed.
Start here
AI ManagerStart with Wappler's project-wide AI agent for orchestrating full-stack work across pages, data, backend logic, validation, and agentic execution.Connect an AI ProviderWappler Options setup for AI providers, GitHub Copilot as the preferred default, and request-based versus token-based usage in AI Manager.Choosing Models in AI ManagerBest-practice AI Manager model choice for design, coding, and orchestration, with preferred Claude and GPT defaults.Beginner PathA clear starting route for first-time Wappler AI users who want fast wins without losing control of the app.Build with AIPractical routes for building pages, UI, data flows, forms, and backend logic with Wappler AI.Advanced AI WorkflowsAdvanced Wappler AI workflows for agentic generation, context discipline, validation, and cross-stack iteration.
Understand the system
AI Foundations in WapplerSee how Wappler AI works in practice with a concrete cross-stack example, Ask vs Act choices, and the review loop that keeps results trustworthy.Bring an AI-assisted code project into WapplerAssess an existing code project, choose what to reuse and verify one working feature before expanding the migration.
Prompt, guide, and verify
Prompting, Rules, and ExecutionLearn how to brief the AI Manager well: stronger prompts, design requests, reusable rules, standards, plans, and execution discipline.Best Prompt GuidelinesPractical AI Manager prompt patterns: write stronger prompts, add the right context, break work into reviewable slices, and guide follow-up passes clearly.Design Prompts for Better UIPractical design-prompt patterns for the AI Manager: brief real UI goals, describe hierarchy and states, and review the outcome in Wappler.Rules, Standards, and GuardrailsPractical ways to write reusable AI Manager rules, show them in project files, and turn them into concrete execution constraints.Plans, Task Execution, and VerificationPlan larger AI Manager tasks with concrete slices, checkpoints, validation, and recovery steps instead of one opaque execution jump.