Getting Started with CodeRhapsody.ai

A comprehensive guide for beta users on how to use CodeRhapsody skillfully for serious software development

Introduction

CodeRhapsody is an autonomous AI coding agent with direct access to your development environment. Unlike traditional AI coding assistants, CodeRhapsody can execute commands, manipulate files, run tests, and manage your entire development workflow through a sophisticated tool execution system.

Key Insight: CodeRhapsody works best when you maintain architectural control while leveraging the AI's implementation capabilities. Think of it as an exceptionally fast developer who can code faster than anyone, but who needs clear direction on design and structure.

The CodeRhapsody Philosophy

You Are The Expert - Make It Your Design

Critical Success Factor: Always position yourself as the architect and CodeRhapsody as the implementation engine.

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Own the Design: You decide the overall structure, APIs, data models, and system boundaries

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Guide the Implementation: Let CodeRhapsody handle the coding, testing, and integration details

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Maintain Vision: Keep the big picture in mind while the AI focuses on execution

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Course Correct: Don't hesitate to reset and redirect if the AI goes off track

The Recommended Development Workflow

Interactive Design Documents

Start Every Project With Design-First Conversations

Before writing any code, have CodeRhapsody help you create comprehensive design documents:

You: "I want to build a web-based task management system. Let's start by creating a design document that covers the overall architecture, main components, API design, and data models."

✓System Overview: What does the system do and why?

✓Architecture Diagram: How do components interact?

✓Data Models: What are the core entities and relationships?

✓API Design: What are the main interfaces between components?

✓Technology Choices: What frameworks, databases, and tools will you use?

✓Directory Structure: How will the code be organized?

Build Fakes First

Create Mock/Fake Implementations Before Real Code

Once your design is solid, have CodeRhapsody build fake implementations of all major subsystems:

You: "Based on our design document, please create fake implementations for:
1. User authentication service (just returns success for any login)
2. Task storage layer (in-memory with predefined data)
3. Notification system (logs instead of sending emails)
4. API layer (returns mock responses)"

Benefits of Fakes-First Approach:

✅Quick Validation

✅Integration Testing

✅Early Feedback

✅Working Prototype

✅Clear Interfaces

Integration Tests

Build Comprehensive Integration Tests

With fakes in place, create integration tests that exercise your entire system:

You: "Now let's create integration tests that test the full workflow:
1. User registration and login
2. Creating and managing tasks
3. Task assignment and notifications
4. Data persistence and retrieval"

Reset and Refine Strategy

If Things Go Wrong, Reset Confidently

Don't get attached to problematic code. If you see issues:

Stop Implementation: Don't try to fix broken architecture
Analyze Problems: What didn't work as expected?
Update Design: Modify your design document
Fresh Start: Reset CodeRhapsody and begin again
Iterate: This is normal and expected

Modular Implementation

Once Structure is Solid, Build Real Components One by One

With passing integration tests and clean fakes, start replacing components:

You: "Our integration tests are passing with fakes. Let's implement the real task storage layer using PostgreSQL, maintaining the same interface so our tests continue to pass."

Supervising AI Code Generation

The Key: Watch the AI Think

Critical Success Factor: CodeRhapsody's GUI shows you exactly what the AI is thinking in real-time. This is your primary supervision tool.

What to Watch For:

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Problem Analysis: Is the AI understanding your requirements correctly?

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Approach Planning: Does the proposed implementation strategy make sense?

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Early Warning Signs: Is the AI heading down the wrong path?

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Solution Quality: Are the architectural decisions sound?

Real-Time Guidance with Hints:

Revolutionary Feature: You can provide hints to the AI while it's actively working without interrupting its flow.

AI: "I'll implement with direct database calls..."

You (hint): "Consider using a repository pattern"

AI: "Good point - I'll create a UserRepository interface first..."

Ready to Get Started?

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