Master Rust in 2026: A Practical, No-Tutorial-Hell Learning Strategy

Hello guys and girls,

It’s been some time since I last wrote. For the past three years, I’ve mostly been working with Solidity, but now I’ve decided to add a new programming language to my toolkit — Rust.

Why Rust?

Today, Rust opens doors to developing dApps and systems on popular Rust based ecosystems like Solana, Cairo, Aztec (Noir), various ZK technologies, and much more. My goal is to master Rust by the end of this year and eventually move into a Senior or Lead role.

Don’t get me wrong, I absolutely love Solidity, but I also want to open more doors and explore new opportunities. Rust feels like the right move.

The Problem: Tutorial Hell

Most of us fall into tutorial hell. We watch countless videos, rewatch the same concepts explained by different instructors, and feel productive but in reality, we rarely write meaningful code ourselves.

After making this mistake multiple times, I decided to change my approach completely. This blog outlines a simple three-step learning system that uses ChatGPT as a study partner or teaching assistant, and it actually works.

Prerequisite: Just Enough Rust Theory

Before jumping in, I recommend watching one solid beginner Rust video — not ten. Any course that covers the following topics is more than enough to get started:

• Rust Fundamentals: Introduction, Cargo, data types, and functions.
• Ownership and Memory: Borrowing, references, and cloning.
• Structs and Enums: Defining data structures and using Option/Result.
• Traits and Generics: Interfaces and polymorphic code.
• Iterators and Modules: Working with loops and project organization.
• Error Handling: Understanding panic! and idiomatic error patterns.

Once you have a basic understanding, stop watching videos. Now the real learning begins.

Step 1: Learn the Ecosystem, Not Just the Language

Ask ChatGPT the following prompt to identify what the industry actually uses:

Read through the response carefully. Pick five to six crates from different categories and write them down. In my case, I chose: serde, anyhow, tokio, sha2, and clap .

Prompt Response #1

Step 2: Learn by Building Real Projects

Next, ask ChatGPT to use these tools into a cohesive project plan:

Pro tip: Ask ChatGPT to base the projects around a specific theme. I chose blockchain and crypto, which made the learning process far more intuitive given my background.

Prompt Response #2

Step 3: Build One Project Deeply

Once you select a project, use this final prompt to begin the guided implementation:

Prompt Response #3

Important: Turn off code autocomplete.

Write the code yourself. Struggle a little. That’s where the actual neural pathways are formed.

Final Thoughts

I’ve been following this approach for about a month, and the results have been genuinely fruitful. So, I thought of sharing it with you people. Hope it helps you. Like many others, I was stuck in tutorial hell for a long time, and I regret wasting that time.

The best way to learn Rust (or any language) is by writing code, hands-on, not by watching another “Rust Crash Course” video. I hope you don’t repeat the same mistake.

All the best, and stay tuned for the next blog.

Thanks for reading.

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Master Rust in 2026: A Practical, No-Tutorial-Hell Learning Strategy was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.