Vibe Coding With Cursor and Claude Code: Shipping Software With an AI Pair

~60 min · 15 stations

Start reading — Station 01

Conductor

The Conductor

All aboard for the future of shipping; we’re trading manual labor for AI-powered momentum. Keep your hands inside the Cursor and let Claude handle the heavy lifting as we build at full throttle.

What you will learn

Read the stations in any order. Each quiz you pass earns you Miles, which we’ll save for when you’re ready to sign in.

FOUNDATION

Establishes the core vocabulary and essential context you need before going further.

• Define the philosophy behind AI-assisted software development workflows

Station 01: The Era of Vibe Coding▶

• Configure local development tools for maximum AI integration

Station 02: Setting Up Your AI Environment▶

• Examine the dynamics of human-AI collaboration in coding

Station 03: Understanding AI Pair Programming▶

CORE CONCEPTS

Unpacks the ideas and principles that the subject is built on.

• Master techniques for writing effective natural language coding prompts

Station 04: Prompting for Code Generation▶

• Implement feedback loops to improve AI-generated software outputs

Station 05: Iterative Refinement Cycles▶

• Optimize the information provided to AI models during development

Station 06: Managing Context Windows▶

• Utilize AI agents to identify and resolve software defects

Station 07: Debugging with AI Agents▶

MECHANICS

Examines how things actually work — the processes, rules, and systems in action.

• Deploy Claude Code for automated project management and coding tasks

Station 08: Integrating Claude Code▶

• Leverage Cursor Composer for multi-file project architecture

Station 09: Cursor Composer Workflows▶

• Evaluate AI-generated code for security vulnerabilities and standards

Station 10: Security and Code Integrity▶

APPLICATION

Puts knowledge to use through real-world scenarios and practical problems.

• Construct a complete software feature using integrated AI tools

Station 11: Building a Full Feature▶

• Apply AI to modernize and refactor existing codebases

Station 12: Refactoring Legacy Systems▶

• Analyze how AI tools impact team velocity and collaboration

Station 13: Scaling Development Teams▶

SYNTHESIS

Connects everything together and explores broader implications and open questions.

• Develop strategies to mitigate and correct AI errors

Station 14: Troubleshooting AI Hallucinations▶

• Execute the final steps for deploying AI-assisted software

Station 15: Shipping Your First AI Product▶

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10th GradeAI Generated · gemini-3.1-flash-lite

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