If playback doesn't begin shortly, try restarting your device.
•
You're signed out
Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.
CancelConfirm
Share
An error occurred while retrieving sharing information. Please try again later.
62,438 views • Oct 11, 2024 • The Startup Ideas Podcast Episodes
Show less
In this episode, I am joined byJason Zhou, product manager & YouTuber, where we dive deep into AI coding fundamentals. Jason shares his unique insights into how to use and set up AI to streamline to the process of building you next app. Learn how to use AI like a pro!
Timestamps:
00:00 Intro
00:20 Preview of Jason’s Workflow
07:27 Case Study: Building a Reddit Analytics Platform
08:56 Writing detailed specs upfront
11:40 Core Functionality Breakdown
12:51 Researching Packages for Implementation
16:13 Debugging and Iteration Process
19:04 Demonstrating the Reddit Post Fetching
19:59 Categorizing Reddit Posts with OpenAI
24:29 Debugging Continued
29:13 Using Step-by-Step Debugging Techniques
32:15 Setting Up the Project Structure
35:22 Generating Detailed Documentation
38:55 Building the Application with Cursor
46:01 Transitioning to UI Improvements
50:00 Exploring Startup Ideas
51:58 Implementing Reusable Authentication Prompts
56:04 Conclusion…...more
Essential AI Coding Fundamentals I wish I knew sooner (ChatGPT, Cursor AI, v0)
1.6KLikes
62,438Views
Oct 112024
In this episode, I am joined byJason Zhou, product manager & YouTuber, where we dive deep into AI coding fundamentals. Jason shares his unique insights into how to use and set up AI to streamline to the process of building you next app. Learn how to use AI like a pro!
Timestamps:
00:00 Intro
00:20 Preview of Jason’s Workflow
07:27 Case Study: Building a Reddit Analytics Platform
08:56 Writing detailed specs upfront
11:40 Core Functionality Breakdown
12:51 Researching Packages for Implementation
16:13 Debugging and Iteration Process
19:04 Demonstrating the Reddit Post Fetching
19:59 Categorizing Reddit Posts with OpenAI
24:29 Debugging Continued
29:13 Using Step-by-Step Debugging Techniques
32:15 Setting Up the Project Structure
35:22 Generating Detailed Documentation
38:55 Building the Application with Cursor
46:01 Transitioning to UI Improvements
50:00 Exploring Startup Ideas
51:58 Implementing Reusable Authentication Prompts
56:04 Conclusion: Structuring AI Coding for Success
57:53 Where to Find More Resources and Tutorials
1) The problem: Large language model coding is unpredictable. Tutorials make it look easy, but reality is different. Jason's solution? A structured workflow for more consistent results.
2) Step 1: Write detailed specs upfront
Simulate how product teams work in reality
Uncover uncertainties early
Include project overview, core functionality, and implementation docs
3) Step 2: Use the right tools for the job
Cursor for functionality
V0 for UI touchups
This order leads to more success than trying everything at once
4) Step 3: Develop reusable modular prompts
Create a collection of standard functionalities (e.g., user auth, payment)
Share these prompts within the community
Speeds up development process significantly
5) Pro tip: When writing specs, think like a product manager AND an engineering manager. Use tools like ChatGPT to help fill in the gaps and create more detailed PRDs.
6) Debugging hack: When Cursor gives vague errors, ask it to "add debug info to the code". This gives you more context to communicate the issue effectively.
7) UI design strategy:
Build functionality first
Use V0 for UI improvements later
Provide style examples (e.g., "similar to Vercel") for better results
8) Jason's secret weapon: Modular prompts for common features
Example: Auth setup prompt that works across projects