Course Outline
Introduction to Vibe Coding
- Definition and history of vibe coding
- Philosophy of “prompt-to-code” collaboration
- How AI coding differs from traditional development
Large Language Models in Coding
- Overview of LLMs for developers: GPT-4, DeepSeek, Qwen, Mistral
- Comparing open-source vs. proprietary AI coders
- Deploying LLMs locally or via APIs
Prompt Engineering for Developers
- Effective prompting for generating and refactoring code
- Context management and conversation state handling
- Creating reusable prompt templates for coding tasks
Hands-on Vibe Coding Environments
- Using Replit for collaborative AI coding
- Integrating GitHub Copilot and Qwen Coder into IDEs
- Customizing workflows for team collaboration
Code Quality and Validation in AI Workflows
- Reviewing and testing LLM-generated code
- Ensuring consistency, maintainability, and security
- Integrating code validation tools in the workflow
Enterprise Integration and Governance
- Scaling vibe coding across teams
- AI governance, ethics, and compliance in code generation
- Designing organizational frameworks for AI-assisted development
Advanced Topics: Extending Vibe Coding
- Combining multiple LLMs for hybrid AI workflows
- Integrating vibe coding with CI/CD automation
- Future trends: multi-agent development ecosystems
Team Project and Collaboration
- Designing a real-world AI-assisted coding project
- Collaborating with human and AI developers
- Presenting results and measuring productivity gains
Summary and Next Steps
Requirements
- An understanding of software development workflows
- Experience with Python, JavaScript, or another modern programming language
- Familiarity with Git-based version control systems
Audience
- Software engineers exploring AI-assisted development
- Engineering leads overseeing AI adoption in coding workflows
- Enterprise development teams seeking to integrate LLMs into production pipelines
Testimonials (3)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.
