New to AI-Assisted Development?
Feeling overwhelmed? Perfect! We created a gentle introduction just for traditional developers and QA professionals.
START HERE - Your First Steps5-minute quick start • Simple experiments • No overwhelming theory
Real-World Results
These techniques were used to build this entire portfolio template
START HERE - Your First Steps
Perfect for traditional developers and QA professionals. A gentle, non-overwhelming introduction to AI-assisted development with simple 5-minute experiments.
- 5-minute quick start guide
- Simple first experiments
- Common concerns addressed
- Choose your learning path
- No overwhelming theory
AI-First Development Manifesto
Understanding the philosophy and practical approach to AI-assisted development. Learn why AI-First isn't about replacing developers, but amplifying human expertise.
- Core principles and mindset
- Human-AI collaboration model
- Addressing common concerns
- Real-world success metrics
- Getting started safely
AI Adoption Roadmap
Step-by-step guide for individuals and teams to adopt AI-assisted development practices safely and effectively.
- 8-week individual roadmap
- 4-month team adoption plan
- Success metrics and KPIs
- Risk mitigation strategies
- Troubleshooting guide
Prompt Engineering Guide
Comprehensive guide to effective AI prompting for developers. Learn the exact prompts used to build this portfolio.
- Code generation prompts
- Testing & QA automation
- Documentation generation
- Debugging strategies
- Best practices & pitfalls
AI Workflow Integration
Seamlessly integrate AI into your daily development workflow for maximum productivity gains.
- Morning planning routines
- Code review assistance
- Bug investigation workflows
- Performance optimization
- Team collaboration
Template Customization
Step-by-step guide to customize this portfolio template for your own professional use.
- Personal information updates
- Project customization
- Color scheme modification
- Advanced features
- Deployment guide
LLMGuardian Framework
Real AI testing framework with RAG, MCP, and advanced reasoning capabilities built using AI assistance.
- LLM safety testing
- RAG implementation
- MCP integration
- Interactive demos
- Production ready
Community & Contributions
Join the community of developers using AI-first development practices and contribute to the template.
- GitHub issues and community
- Issue reporting
- Feature requests
- Pull requests
- Knowledge sharing
Advanced Techniques
Master advanced AI prompting techniques like chain-of-thought reasoning and role-based prompting.
- Chain-of-thought prompting
- Role-based interactions
- Multi-step problem solving
- Context management
- Quality validation