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Day 24: Fine-Tuning vs Prompt Engineering
How to choose between better prompts, better data, and a custom model when building real AI apps.
Read guide →AI / 8 min readDay 23 of becoming an AI developer: How AI Systems Are Actually Designed in Production
The architecture behind reliable AI apps, RAG systems, agents, guardrails, evals, and the boring engineering that makes AI usable in real…
Read guide →AI / 11 min readDay 22 of Becoming an AI Developer: “ChatGPT vs Claude vs Gemini vs Perplexity”
A practical guide to choosing the right AI tool for coding, debugging, research, architecture, and shipping real projects
Read guide →AI / 9 min readDay 21 of Becoming an AI Developer: AI Workflows That Save Me Hours as a Developer
Practical AI workflows for planning, coding agents, PR reviews, debugging, tests, and production guardrails
Read guide →AI / 8 min readDay 20 of Becoming an AI: Multi-Agent Systems Explained For Beginners
Planner vs Executor, explained through the way real AI apps actually break
Read guide →AI / 7 min readDay 19 of Becoming an AI Developer: Function Calling vs Tool Calling
How weather apps, APIs, and real tools help LLMs move from “I think” to “I checked.”
Read guide →AI / 11 min readDay 18: Build an MCP Server in Node.js Without Getting Lost in the Protocol
A practical step-by-step guide to creating your first MCP server with tools, local data, and a real developer workflow
Read guide →AI / 7 min readDay 17 of Becoming an AI Developer: MCP Explained For Beginners
Why Everyone Is Talking About MCP (And Why It Matters More Than Prompt Engineering)
Read guide →AI / 8 min readDay 16 of Becoming an AI Developer: Build Your First AI Agent
A hands-on guide to building a small AI agent that can call real JavaScript functions instead of only generating text
Read guide →AI / 6 min readDay 15 of Becoming an AI Developer: What Is Agentic AI? Explained for Beginners
From chatbots that answer questions to AI systems that take actions — here’s what Agentic AI actually means for developers.
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