Ground Cursor, Windsurf, Devin, Claude Code, and ChatGPT with stateful REST and GraphQL mock APIs. Zero backend configuration, isolated virtual mutation overlays, chaos simulation, and machine-readable schema manifests.
Feed these standard endpoints directly into your AI context window or repository indexer for instant schema grounding:
Standard curated markdown index of all endpoints, query parameters, headers, and quick-start instructions.
Exhaustive technical documentation including request/response schemas, validation rules, and WebSocket protocols.
Structured machine manifest of all collections, field schemas, chaos modifiers, and seed datasets for LLM tool use.
Place these rules into your workspace root so your AI coding assistant produces accurate, stateful code from the first turn:
Copy and paste these verified prompts directly into ChatGPT, Claude, or v0 for instant high-quality prototypes:
Always instruct models to specify credentials: 'include' in browser requests. This allows created tasks and modified posts to persist across user navigation.
In automated test runners (Playwright, Jest, Vitest, Cypress), send X-Playground-Identity: <run-id> to isolate concurrent test runs without database collisions.
Append ?_delay=1500 to verify loading skeletons or ?_status=500 to test error boundaries without having to build a mock server.
If an AI generates a domain entity not present in standard collections (e.g., invoices, bookings, tickets), post to /custom/:name to instantiate it immediately.
Use our interactive workbench to test endpoints, headers, and chaos modifiers in real-time.