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Your data should look as real as the idea

1 starsTypeScript

Instant live endpoints your front end needs, from natural language

by thomscoder·Jun 15, 2026·2 points·0 comments
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AI Analysis

●●●BangerSolve My ProblemBig BrainSlick

Claude Code native mode with zero redundant AI calls is genuinely clever architecture.

Strengths
  • •Claude Code MCP integration where AI reasons and Zero-1 executes eliminates redundant API calls.
  • •Schema change propagation with FK tracking and denormalized copy updates is real engineering.
  • •Export to production Hono backend bridges mock-to-real transition cleanly.
Weaknesses
  • •Mock server category already has Mockoon, Prism, WireMock, and MSW.
  • •AI-native positioning may age poorly if Claude Code changes MCP support.
Target Audience

Frontend developers, full-stack developers

Similar To

Mockoon · Prism · MSW

Post Description

Often i was in situations i had to implement things on the frontend but the backend was not ready so i had to hard mock tons of json data to test paginations. And still I could not test how the frontend reacted with endpoint errors, rate limits, gates and so on... and if the backend suddenly decided to rename a property or to change the shape well... so I built my own engine that can spin live endpoints in seconds, modify them on the fly and keep foreign keys updated all from natural language. AI native, it can integrate with Claude for it to test its own generated code.

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