Hiring: Blockchain, Design & Marketing Talent

Navigating full stack development means knowing more than frontend and backend, it's about mastering how data is managed and deployed. Save this for your roadmap.

That's the developer life: write, break, fix, repeat. And somewhere in the middle, make something that works.

After 100+ hours of vibe/AI-assisted coding, one thing became clear: AI can write code. It cannot own architecture, quality, security, or product decisions. The developers getting the most out of AI aren't treating it like magic, they're treating it like a capable junior engineer with infinite energy and zero context.
Lessons that pay off:
• Start with a PRD before writing code
• Build one feature at a time
• Design UI first
• Keep sessions focused
• Use Git from day one
• Let AI write tests
• Review every PR for security
• Refactor regularly
• Use multiple models for different strengths
• Document rules in CLAUDE.md or AGENTS.md
Vibe coding works, but only when you combine speed with engineering discipline. Save this for your next AI project.

Most engineers prep for interviews by grinding problems randomly. The ones who get offers know the 10 patterns that show up everywhere:
Two Pointers | Sliding Window | Binary Search | Fast & Slow | BFS/DFS | Backtracking | Dynamic Programming | Heap/Top-K | Intervals | Tries
Master these, and you've covered ~90% of what FAANG actually tests. This reel lays out the full roadmap — every pattern, every stop. Plus the AI engineer angle: these same patterns show up in LLM-generated code. Knowing them means you can spot bad picks and fix them before shipping. Don't just grind. Learn to recognize.

The market doesn't reward the loudest mind. It rewards the calmest one that can see clearly through the noise.