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Training
Course Information
Course Name
VC: Vibe Coding – AI-Assisted Development
Duration
2 Days
Overview
Audience Profile
Prerequisities
At Course Completion
Course Outline
Overview
Overview
Overview
Audience Profile
Audience Profile
- Developers (beginner to intermediate)
- Technical professionals exploring AI-assisted coding
- Product builders and startup teams
- Teams already using AI tools (Cursor, Claude, VS Code, Antigravity)
Prerequisities
Prerequisites
At Course Completion
At Course Completion
By the end of this programme, participants will be able to:
- Understand the concept of Vibe Coding and AI-assisted development workflows
- Use Cursor and VS Code effectively for AI-driven coding
- Apply prompt and context engineering for better code generation
- Debug, refactor, and review code using AI tools
- Use Claude for structured reasoning and agent workflows
- Understand Model Context Protocol (MCP) at a practical level
- Build applications using AI-assisted workflows
- Apply best practices for maintainable and secure AI-generated code
Course Outline
Course Outline
Module 1: Introduction to Vibe Coding
- What is Vibe Coding
- Shift from traditional coding → AI-assisted workflows
- AI as co-developer vs tool
- Real-world developer workflow changes
Module 2: Vibe Coding with Cursor AI
- Cursor AI overview and setup
- Using AI chat panel for code generation
- Editing and refactoring with context awareness
- Iterative development workflow
Module 3: AI Coding in VS Code Ecosystem
- Using AI tools within VS Code
- Cursor vs VS Code workflows
- Combining multiple AI tools effectively
- Choosing the right tool for each task
Module 4: Prompt & Context Engineering for Code
- Writing effective coding prompts
- Providing context (files, functions, requirements)
- Structuring prompts for better outputs
- Reusable prompt templates
Module 5: Debugging & Code Review with AI
- Debugging errors using AI
- Explaining and understanding code
- Refactoring and improving code quality
- AI-assisted code review workflows
Module 6: Claude for Structured & Agentic Workflows
- Using Claude for complex reasoning
- Prompt chaining (multi-step thinking)
- Plan → Act → Observe workflow (simplified agent loop)
- When to use Claude vs Cursor
Module 7: Antigravity & Emerging AI Dev Tools
- Overview of Antigravity
- How it fits into AI development workflows
- Comparing tools (Cursor vs Claude vs Antigravity)
- Selecting tools based on use case
Module 8: Context Management & Reliability
- Why context is critical in AI coding
- Common issues (missing context, wrong assumptions)
- Structuring inputs for consistent results
- Reducing hallucination in code generation
Module 9: Structured Outputs & AI Control
- Using structured outputs (JSON mindset)
- Making AI outputs predictable
- Validating and refining AI responses
- Designing reliable AI workflows
Module 10: Introduction to MCP (Model Context Protocol)
- What is MCP (simple explanation)
- Connecting AI to tools and data
- Real-world use cases (API, database, automation)
- MCP in modern AI applications
Module 11: Building AI-Assisted Applications
- Breaking features into AI-driven tasks
- Generating frontend and backend components
- Integrating APIs using AI
- Managing application structure
Module 12: Best Practices in Vibe Coding
- When to trust AI vs verify
- Avoiding over-reliance
- Security considerations
- Writing maintainable AI-generated code
