
🔥 Here’s EXACTLY what worked for me as a newbie in tech (and still does 👇) 1. System Design • This is the difference between side projects and production-level code • Think in scalability: load balancing, caching, queues, databases • Learn how APIs communicate: REST vs GraphQL vs WebSockets • Practice breaking large problems into distributed components 2. Version Control • Think of this as a “collaborative time machine” for coding • Git/GitHub are non-negotiables • Understand pull requests, code reviews, merge conflicts, commits, and how to reset/rebase 3. Cloud Development • Lets you deploy real products users can access (the skill companies hire for) • Use managed services (auth, storage, queues, monitoring) • Understand containers & serverless (Docker, Lambda, Cloud Run) • Learn CI/CD basics and automated deployments 4. AI Prompting • AI won’t replace you, but the engineer who knows how to use AI will • Understand context engineering: structure prompts, add memory, give role + objective + constraints • Learn how models think: tokens, context windows, chain-of-thought, planning vs execution prompts • Build agent-style workflows (coding agent, research agent, content agent, debugging agent) [tech, techuila, software, ai, git, trending]
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