How To Develop End To End Software Using Ai (Vibe Coding)

How To Develop End To End Software Using Ai (Vibe Coding)
Published 8/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Learn Vibe Coding with Prompt & Context Engineering & Generate Code, Requirements, User Stories, Test Cases, Tech Specs

What you’ll learn

Generate requirements specs, user stories, test cases, tech specs using AI

Generate backend code using AI (Vibe coding for backend)

Generate frontend code using AI (Vibe coding for frontend)

Understanding of how AI will impact the tech jobs

Requirements

Access to AI (LLM) tools

Basic knowledge of software engineering process (like creation of requirements, user stories, test cases, etc.)

Basic knowledge of software development (if you want to learn Vibe Coding with AI)

Description

Overview

Section 1: Introduction

Lecture 1 Introduction and Software Engineering Transformation Journey with AI

Lecture 2 New Ways of Working in Software Engineering with AI

Lecture 3 Why organization’s are rushing to adopt AI and Intro to Vibe Coding

Section 2: Impact of AI on Software Engineering Jobs

Lecture 4 Jobs Cuts, Consolidation of Roles, Dawn of New Jobs and New AI Skills

Section 3: What is Vibe Coding, AI Agents and MCP?

Lecture 6 What is Vibe Coding, AI Agents, MCP?

Lecture 7 Demo of Vibe Coding, AI Agents and MCP

Section 4: Prompt Engineering, Context Engineering & Debugging with AI

Lecture 8 What is Prompt Engineering and Its Best Practices

Lecture 9 What is Context Engineering and Its Best Practices

Lecture 10 How to perform debugging with AI?

Section 5: AI Hallucination and Best Practices to Reduce Hallucination

Lecture 11 (What? Why?, How?) of AI Hallucinations with examples?

Lecture 12 How to validate AI’s work and reduce AI hallucinations and Improve Code Quality?

Section 6: Using AI generate requirements, user stories, test cases, tech specs, etc.

Lecture 13 Using AI generate, refine & expand the Requirements Specs (Product Manager Role)

Lecture 14 Using AI generate the User Stories (Business Analyst Role)

Lecture 15 Using AI generate the Test Cases (Quality Analyst/Tester Role)

Lecture 16 Using AI generate the Technical Specs (Tech/Team Lead Role)

Lecture 17 Using AI generate the Architecture Diagram (Architect Role)

Section 7: Demo – Vibe Coding for Backend (Generate Java Microservice Code using AI)

Lecture 18 Review AI & IDE Tools Setup required for Vibe Coding for Backend

Lecture 19 Review Employee Java Microservice Requirements & Generate Employee Model with AI

Lecture 20 Using AI generate the Code for Create Employee REST API

Lecture 21 Using AI generate the Code for Get Employees List REST API

Lecture 22 Using AI generate the Code for Edit (PATCH) Employee REST API

Lecture 23 Using AI generate the Code for DELETE Employee REST API

Lecture 24 Using AI generate the Unit Tests and Review Implementation Summary

Section 8: Demo – Vibe Coding for Frontend (Generate React Web App Code using AI)

Lecture 25 Review AI & IDE Tools Setup required for Vibe Coding for Frontend

Lecture 26 Review React Web App Requirements & Generate Employee List Web Page with AI

Lecture 27 Using AI generate the Code for Create Employee Web Page

Lecture 28 Using AI generate the Code for Edit Employee Web Page

Lecture 29 Using AI generate the Code for Delete Employee Feature on Home Page

Lecture 30 Using AI generate the Unit Tests & Review Implementation Summary with Takeaways

Section 9: Future of AI (ANI, AGI, ASI, Quantum AI) and Impact of AI on Job Security

Lecture 31 Future of AI (ANI, AGI, ASI and Quantum AI)

Tech professionals who want to use AI to generate requirements specs, user stories, test cases, tech specs, etc.,Software developers who want to use AI to generate code for Backend, Frontend, etc.,Tech professionals who want to understand the Impact of AI on their jobs