Intro |
00:00 |
Optical disk analysis project |
01:20 |
Defining program purpose |
04:00 |
Setting up IDE / VS Code |
05:00 |
Prompting in a web UI vs IDE |
05:30 |
Scaffolding for AI development |
06:00 |
Why it's smart to save prompts |
06:20 |
Writing the prompt |
06:50 |
Avoiding ambiguity when prompting |
08:00 |
Adding instructions for recursion |
08:30 |
Hardcoding paths in the prompt |
09:00 |
Giving the LLM space to create |
09:30 |
Data deletion warning |
10:10 |
Requesting UI details |
10:20 |
Prompting for GUI vs. CLIs |
11:30 |
ChatGPT 4o with canvas |
12:30 |
Local Python LLMs |
13:00 |
Editing the first prompt |
13:30 |
Instructing iteration loops |
15:30 |
Debugging |
16:30 |