From Code to Clarity: Understand any GitHub repository in minutes.

[lucidopus]

https://youtu.be/hwQHS-R5Ykw

[Manamama]

For the curious:
https://github.com/lucidopus/voice-ai-advisor
As you forgot to add the link.

In practice:

~/.../GitHub/voice-ai-advisor $ tree
.
├── LICENSE
├── README.md
├── main.py
├── requirements.txt
└── utils
    ├── config.py
    ├── database.py
    ├── functions.py
    ├── helper.py
    └── prompts.py

2 directories, 9 files
~/.../GitHub/voice-ai-advisor $

Not touched for 5 months.

If I get it right, you are trying to reinvent deepwiki , GH Copilot etc. there.

Let us see what Gemini AI thinks about it, tbc...

[Manamama]

Gemini via CLI:

 ╭─────────────────────────────────────────────────────────╮
 │ ✓  ReadFile utils/functions.py                          │
 ╰─────────────────────────────────────────────────────────╯
✦ I've reviewed utils/functions.py, which outlines the AI
  assistant's function schemas for the OpenAI API. Now, I'm
  checking utils/helper.py for their implementation.
 ╭─────────────────────────────────────────────────────────╮
 │ ✓  ReadFile utils/helper.py                             │
 ╰─────────────────────────────────────────────────────────╯
✦ I've analyzed utils/helper.py, which implements functions
  defined in utils/functions.py. get_advisor_prompt and
  get_ai_initiation_prompt fetch prompts from Langsmith.
  get_email_from_cwid and get_student_summary retrieve
  student data from a dummy database. extract_arguments
  parses OpenAI's JSON responses. get_docs uses Pinecone and
   Azure OpenAI for course recommendations. send_email uses
  Azure to send emails. get_deadlines gets deadlines from
  the dummy database. In summary, this project is a
  voice-based AI academic advisor using Twilio, OpenAI, a
  dummy database for student info, Pinecone for course
  recommendations, Langsmith for prompts, and Azure for
  email. I understand the project and await your questions.

[Manamama]

Oh, it not not even that one. Gemini AI online:

The video at https://m.youtube.com/watch?v=hwQHS-R5Ykw is about a tool called "Code Glance," which helps developers understand unfamiliar GitHub repositories [[00:32](http://www.youtube.com/watch?v=hwQHS-R5Ykw&t=32)]. It provides a "guided human-readable walkthrough" of a codebase [[00:15](http://www.youtube.com/watch?v=hwQHS-R5Ykw&t=15)] by generating five key markdown guides:

• Architecture: A high-level overview of the repository's structure [[01:27](http://www.youtube.com/watch?v=hwQHS-R5Ykw&t=87)].
• File Insights: Summaries of important files and functions [[01:35](http://www.youtube.com/watch?v=hwQHS-R5Ykw&t=95)].
• Complete Overview: Details about the project's purpose, technology stack, and how to run it [[01:43](http://www.youtube.com/watch?v=hwQHS-R5Ykw&t=103)].
• Quick Start Guide: A list of commands to launch the application [[01:51](http://www.youtube.com/watch?v=hwQHS-R5Ykw&t=111)].
• Tree: A visual map of the directory structure [[01:57](http://www.youtube.com/watch?v=hwQHS-R5Ykw&t=117)].

Anyhow, once you know what you are presenting, please let us know the link to real code.