Vibe Coding & AI-Assisted DevelopmentComing Soon
AI-Assisted Software Development
Help engineering teams use AI coding tools productively without compromising quality.
Overview
Designed for people who already write software, this program covers how to integrate AI tools across the development lifecycle. It focuses on context, review discipline, testing, and team practices rather than on any single tool.
Who it is for
- Software engineers
- QA engineers
- Technical leads and engineering managers
Learning objectives
- Apply AI tools across the development lifecycle
- Give AI tools the right context for a codebase
- Review AI-generated code critically
- Agree team practices for AI-assisted work
Topics and modules
Module 1
AI across the lifecycle
- Requirements
- Implementation
- Testing and documentation
Module 2
Working in real codebases
- Providing context
- Planning changes
- Refactoring safely
Module 3
Quality and security
- Code review
- Test generation
- Security awareness
Module 4
Team adoption
- Shared conventions
- Measuring impact
- Common pitfalls
Practical exercises
- Implement a feature in an existing codebase with AI support
- Review and correct flawed AI-generated code
- Draft AI working agreements for a team
Expected learning outcomes
- Use AI tools effectively on real engineering work
- Maintain quality standards on AI-assisted changes
- Propose a practical adoption approach for your team
Bring this program to your group
Each program can be shaped around your learners, their experience, and your goals.