Give a sense of 10K+ line gut hub rapes without reading the code

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Navigating and understanding large code bases can be difficult, especially for new developers when joining a project or reviewing the old reservoirs. Traditional methods of understanding the code structure include reading through numerous files and documents, which may be time to demand and error. Gutdiagrams offers a solution by providing the visual representation of the Code Base architecture, converting the gut hub’s reservoirs into interactive arigram. This tool helps to understand complex systems and enhance cooperation between development teams. In this article, I will go through the phased process of using Gutdigram locally. So, let’s start, without waiting.

Step Guide for the use of gutdiagrams locally

Step 1: Clone the gutdiagrams repository

git clone 
cd gitdiagram

Step 2: Install dependent

It gains and installs dependence in the node_Modols.

Before installing PNPM, make sure you have node.js and PNPM installed globally.

• To install node dot js, download it nodejs.org
• To install PNPM, run the following command:

Step 3: Set up environmental variables

Edit .env file To add your Openi / Entropic / Open Router API key and, optionally, your gut hub personal access token.

Step 4: Start Passead Services

docker-compose up --build -d

Fast API Server will be available Local Host: 8000. You will see the following message to the server.

{"message":"Hello from GitDiagram API!"}

Step 5: Start the database

Run the following commands to configure the database:

chmod +x start-database.sh
./start-database.sh
pnpm db:push

When indicated to create a random password, input. Postgrass database will start in a container Local Host: 5432.
Note: When I tried to run this command, I made this error:

sh: drizzle-kit: command not found
 ELIFECYCLE  Command failed.
 WARN   Local package.json exists, but node_modules missing, did you mean to install?

It turns out that I did not install the drizzle cut. So if you see it, just drive:

Then, PNPM DB: Push worked fine and gave me it out:

No config path provided, using default 'drizzle.config.ts'
Reading config file '/Users/kanwal/Desktop/gitdiagram/drizzle.config.ts'
Using 'postgres' driver for database querying
(✓) Pulling schema from database...
(✓) Changes applied

Step 6: Play Front End

Now you can access the website Local Host: 3000 And edit the rate limits specified in the Prasad/App/Rutters/Generates in the Generat Function Deciver. Let’s try to look at the Gut Hub Rippo of the Fasti Library.

Front and Interface:

Output:

End ideas

This is an excellent idea and a really useful repository. I personally realized the need for something like this in my plans, so I appreciate the effort and vision behind it.

He said, Offering a neutral opinion – there is definitely scope for improvement.

Once a repeated problem in which I ran away: he was:

Syntax error in text mermaid version 11.4.

According to the Project owner Ahmadiyillel 2004This error usually means LLM created the wrong mermaid.js syntax.

I have tried to solve this problem in a number of ways, but finally, I have learned that there is no reliable fix – this is mostly LLM limit. If there was a way to verify the Mermaid.Js code, it would help, but yet, I am not sure how.

He also noted that the existing prompt (`in the prompt dotp, especially the third number that produces the Mistyingana code) already tries to enforce the correct syntax – but this is not foolproof, and there are still new syntax issues.

✅ ✅ A solution that I found online that worked
While excavating Gut Hub cases, I did a job jointly by another user who actually worked for me:

Add it to a custom diagrams perime: Mermaidity ignore the syntax problem from version 11.4.1 and regenerate the rest of the air.

Using this line helps to ignore the error. Although some ingredients may still disappear, it developed at least one partial diarrhea-which is to provide a high level of understanding about the code base.

Kanwal seals Kanwal is a machine learning engineer and a technical writer who has a deep passion for data science and has AI intersection with medicine. He authored EBook with “Maximum Production Capacity with Chat GPT”. As a Google Generation Scholar 2022 for the APAC, the Champions Diversity and the Educational Virtue. He is also recognized as a tech scholar, Mitacs Global Research Scholar, and a Taradata diversity in the Harvard Wacked Scholar. Kanwal is a passionate lawyer for change, who has laid the foundation of a Fame Code to empower women in stem fields.