Auto Code Analyzer | Agentic AI Project | Euron

Опубликовано: 17 Февраль 2026
на канале: Euron
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Discover the revolutionary AutoCode Analyzer, an AI-powered tool designed to transform source code analysis! This video walks you through building a system that takes a GitHub repository URL, analyzes the code, and answers queries about its functionality with the power of generative AI. Whether you're a developer exploring third-party repositories or need clarity on your own functions, this tool is your ultimate coding companion.

What you’ll learn:
How to analyze source code from any GitHub repository with AI.
Step-by-step implementation, from repository setup to deployment on the cloud.
Creating a knowledge base using large language models and vector databases.
Practical insights into Python, Flask, OpenAI, LangChain, and ChromaDB.

Perfect for developers at all levels, this comprehensive guide is packed with practical examples and real-world applications. By the end of the tutorial, you'll have a fully functional AI-powered code analyzer ready to enhance your programming journey.

Hit play and code along to build this game-changing tool! Don’t forget to Like, Subscribe, and hit the notification bell to stay updated with more cutting-edge projects. Let’s revolutionize coding together with Euron 🚀

#githubcopilot #openai #aitools #staticcodeanalysis

CHAPTERS:
00:00 - Project Overview
01:22 - Creating Repository
02:13 - Creating Environment
04:06 - Creating Template File
04:59 - Performing Notebook Experiment
05:30 - Project Architecture Diagram
11:08 - Importing Libraries
14:30 - Cloning Repository
15:46 - Context Aware Splitting
16:38 - Embedding Source Code
18:15 - Source Code Analysis
21:15 - End to End Implementation
27:34 - Performing QA Operation
30:10 - Committing Changes
33:48 - What is CI/CD
34:17 - Project Architecture Overview
39:49 - High Level Deployment Architecture
39:50 - Deployment Services Overview
41:20 - Deployment Steps
43:19 - Deployment Process
45:48 - Creating IAM User
47:50 - Creating ECR Repository
48:53 - Creating EC2 Instance
52:06 - Setting Up Self Hosted Runner
54:23 - Configuring GitHub Secrets
56:58 - CI/CD Pipeline Execution
58:49 - Accessing Deployed Application
1:00:50 - Clean Up Process
1:02:30 - Next Steps and Future Work

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