Many developers struggle with stalled project ideas, not due to lack of technical skill but because of perceived time constraints.
AI project management expert Andrew Ng offers a practical solution: aggressively scope down projects to fit available time, enabling developers to overcome procrastination and start building immediately.
Andrew Ng’s Strategy for AI Project Management
Andrew Ng emphasizes that the path to AI proficiency—whether building applications with AI models or coding efficiently with AI assistants—requires action, not just planning. His core advice:
If you have limited time, scope down your project until it fits perfectly into your available window.
This approach to scoping down projects helps developers avoid the trap of overambitious visions that never get started. Instead of waiting for perfect conditions, Ng recommends identifying a minimal, achievable component you can build right away.
Leveraging AI Coding Assistants for Developer Productivity
Modern AI coding assistants, such as Anthropic's Claude and GitHub Copilot, provide real-time code suggestions and automation. These tools boost developer productivity by enabling rapid prototyping and helping you accomplish more in less time. The key is to begin with a manageable scope and expand as momentum builds.
Example: Scoping Down an AI Project
The Grand Vision
Ng wanted to help people practice public speaking by creating an 'audience simulator'—an application generating virtual audience members for realistic rehearsal.
The Real-World Constraint
With only a few hours available and no graphics programming expertise, building a full simulator was unrealistic.
Scoping Down for Rapid Prototyping
Ng applied his own rule: What is the minimal version? Instead of a full crowd, he created just one simple 2D avatar.
Outcome and Key Takeaways
In a short time, using AI coding assistants, Ng built a basic prototype—a 2D avatar that moved its head and blinked. This rapid prototyping approach delivered:
- Tangible progress on the project
- Skill development in graphics programming
- A demonstrable prototype for early user feedback
How to Overcome Procrastination in AI Projects
By keeping a list of ideas and mastering the art of scoping down, Ng consistently finds ways to make progress, regardless of time constraints. His AI project management strategy—focusing on achievable milestones and leveraging AI coding assistants—helps developers and tech enthusiasts break through procrastination and achieve steady progress.