My external brain for when context switching makes me forget everything

These are my personal technical notes - the organized chaos of a developer who's tired of googling the same commands for the third time today. Think of it as my documented journey through the ever-shifting landscape of modern development.

Core Philosophy: If I've had to look it up twice, it belongs here.

├── languages/          # Programming languages fundamentals
├── frontend/           # Client-side technologies and frameworks
├── backend/            # Server-side frameworks and architectures
├── databases/          # SQL, NoSQL, and data storage solutions
├── cloud/              # Cloud platforms and services
├── devops/             # Infrastructure, CI/CD, and deployment
├── data-science/       # ML, and data processing frameworks
├── ai/                 # AI, models, platform commands, etc
├── architecture/       # System design patterns and best practices
├── security/           # Security practices and tools
├── tools/              # Development tools and utilities
└── templates/          # Reusable code templates and boilerplates

Each section follows my preferred mental model:

• Quick Commands - Because muscle memory fails when you need it most
• Common Patterns - The solutions I actually use, not textbook examples
• Personal Gotchas - Mistakes I've made so you (future me) don't have to
• Performance Notes - When things matter and when they don't
• Context Links - Breadcrumbs back to deeper understanding

• Quick Reference: For when I know what I want but forgot the syntax
• Pattern Documentation: My go-to solutions that actually work in production
• Learning Notes: Deeper dives when I needed to really understand something

GitHub search works, but I've learned to be strategic:

• Use specific command terms for copy-paste moments
• Search by problem pattern when debugging
• Look for architecture keywords when designing

Rather than following traditional tech trees, I've found my own progression patterns:

The Pragmatic Route: Problem → Solution → Understanding → Documentation

• Start with what breaks or what I need to build
• Find the immediate solution that works
• Circle back to understand the underlying principles
• Document both the solution and the why

Cross-Technology Insights

• Backend patterns that translate across languages
• Frontend concepts that survive framework churn
• Infrastructure principles that scale with complexity
• Data patterns that remain relevant despite tooling changes

The uncomfortable truth: I thought I'd remember. I was wrong. Repeatedly.

After the third time explaining the same microservices debugging technique to myself, I realized my brain wasn't a reliable storage system. This repository became my admission that external documentation beats wishful thinking.

The Reality Check Filter: Does this solve actual problems I encounter?

• Not just interesting theoretical concepts
• Solutions that work in messy, real-world scenarios
• Patterns that survive contact with production systems

The Future-Me Test: Will this make sense in six months?

• Include enough context to reconstruct my thinking
• Document the alternatives I considered and rejected
• Explain why certain approaches fit specific situations

The Experience Distillation: What did I actually learn?

• Beyond just "how to do X"
• Understanding when X is the right choice
• Recognizing when X definitely isn't the answer

I've noticed my relationship with technologies follows predictable phases:

Discovery: "This looks interesting/promising"
Honeymoon: "This solves everything!" (spoiler: it doesn't)
Reality Check: "Okay, this works well for specific problems"
Integration: "This fits into my reliable toolkit"
Maintenance: "I understand its place in the ecosystem"

Understanding this cycle helps me document not just current solutions, but their context and limitations.

These are my notes and only if I have to revisit I will change it.

Technical notes have a half-life. Commands change, frameworks evolve, and my own understanding deepens. The challenge isn't just creating documentation—it's maintaining its relevance without becoming a slave to constant updates.

My compromise: Focus on principles and patterns that have staying power, with specific implementation details as examples rather than gospel.

Remember: These are snapshots in a constantly shifting technological landscape. Today's cutting-edge is tomorrow's baseline. The best tools are the ones you actually use consistently. Everything else is just expensive entertainment.