#009 · Prototype Development

Revenue & Cost Monitoring System for the Power Industry

To stand up a revenue-and-cost monitoring prototype for the power industry fast, a developer drove AVL Code with natural-language instructions — an end-to-end intelligent loop from XMind mind map to high-fidelity enterprise prototype.

Built with AVL Code + the Landi model

XMind ParsingPrototype GenerationPower IndustryECharts VisualizationNatural-Language Instruction

Overview

Working from the revenue-and-cost monitoring requirements of a power-industry customer, AVL Code and the Landi model parsed a 352KB XMind mind map into a functional structure tree and generated a high-fidelity HTML prototype — 15 pages, ECharts visualizations and an industrial-grade dark theme for the power sector, fully interactive straight from the browser — turning an unstructured requirements mind map into a clickable, demo-ready enterprise prototype.

Key results

  • Parsed the 352KB XMind mind map into a structure tree of 5 top-level modules and 80+ feature nodes
  • Generated a high-fidelity HTML prototype spanning 15 functional pages across 7 deliverable files
  • Completed the flow in about 12 minutes, passing all 14 automated tests with zero ruff / semgrep findings
  • Achieved a 100–200x efficiency gain over manual development

Technical highlights

Deep XMind parsing engineAutomatic high-fidelity prototype generationClosed-loop self-check quality gateIntelligent mock-data generationIndustrial-grade power-sector UI themeZero-backend SPA architecture

Practical value

Turns unstructured power-industry requirements (XMind) into an interactive prototype in minutes, drastically shortening requirement-validation and prototyping cycles — helping power enterprises validate business logic fast, accelerate digital transformation, and hand later development an accurate blueprint.

Artifacts

Session replays & reports are original records in Simplified Chinese · Built with AVL Code + the Landi model