AI Coding Assistant for Developers Training in Bangkok, Thailand

This course is designed to help developers integrate AI-powered coding assistants into their daily workflows. It covers the use of tools like GitHub Copilot, Claude, and Cursor IDE for writing, debugging, testing, documenting, and optimizing code. Developers will learn how to pair program with AI, boost productivity, and maintain security and code quality while using AI-generated suggestions.

Introduction to AI in Software Development

• What is an AI coding assistant?

• Overview of tools (Copilot, Claude, Cursor)

• Benefits & limitations of AI in coding

Setting Up and Getting Started

• Installing and configuring Copilot in IDEs

• Accessing Claude for coding help & reasoning

• Using Cursor IDE for AI-powered editing

Prompt Engineering for Developers

• Writing precise coding prompts

• Multi-step coding task breakdowns

• Using AI to generate APIs, CRUD, and boilerplate code

Code Generation and Refactoring

• Automating repetitive coding tasks

• Refactoring legacy code

• Optimizing algorithms with AI suggestions

Debugging and Testing with AI

• AI-assisted debugging workflows

• Generating unit, integration, and automated tests

• Fixing bugs and optimizing performance with AI

Documentation and Collaboration

• Auto-generating docstrings, comments, and READMEs

• Creating technical documentation and API references

• Using AI for knowledge sharing within dev teams

Advanced Workflows

• Using Claude for architecture design and reasoning

• AI in DevOps (CI/CD pipelines, code reviews)

• AI for multi-language development support

Security, Ethics & Best Practices

• Reviewing AI-generated code for security flaws

• Open-source licensing & compliance concerns

• Guidelines for safe enterprise adoption

Hands-on Exercises

Summary and Conclusion