Introduction

Crowdbotics Overview

Maintaining or modernizing legacy codebases is a tedious, error-prone process. The Crowdbotics platform uses AI to help speed through the hardest part—reverse engineering requirements and technical specifications from code.

• Requirements Capture — AI analyzes the existing codebase to extract business requirements and generate essential technical artifacts, such as entity-relationship diagrams (ERDs), file maps, and system architecture models (C4 diagrams). This process provides a structured understanding of the system’s current state, eliminating the need for manual code analysis and reducing costly misinterpretations.

• Requirements Management — Modernization is an ongoing process, not a one-time event. Requirements evolve as systems change, and maintaining up-to-date documentation prevents misalignment between business needs and technical execution. AI-powered insights help refine requirements, ensuring updates remain accurate and actionable.

• Requirements-driven Development — Clear, structured requirements provide the foundation for development. AI-assisted tools, including integrations with GitHub Copilot, apply this structured context to improve code accuracy, reduce rework, and accelerate delivery. Developers can work with confidence, knowing that every change is aligned with the system’s intended functionality.

Complexity is the biggest cost in modernization. Legacy applications contain hidden dependencies, rigid architectures, and undocumented changes that make even small updates risky. A requirements-driven approach eliminates guesswork, providing a clear path for modernization while reducing risk, cost, and development time.

Crowdbotics’ AI-powered workflow captures, manages, and applies business requirements throughout the modernization process—delivering clarity and control from start to finish.