For a long time I wrote about philosophy and meaning, but my life does not end with theoretical reflections - it also has a practical side. Over the past 5 years, I have worked my way up from a product manager to a confident developer and today I lead development at Aspis Protocol.

Although I walked my path even before AI development became mainstream, I am still amazed at how much simpler everything is now: the tools are accessible, training is accelerated, and for beginners, entry into the craft has become many times easier. Moreover, in a world where an entire ecosystem of no-code solutions is growing around us, basic development skills are becoming essential in the second quarter of the 21st century.

Therefore, I share my experience and prepared a map for you.

This article combines two approaches: a basic guide for beginners and an advanced look at AI development. It is suitable for both product and managers (to understand the language of developers), andto and for the developers themselves (to become more productive).

Previously, the path to development took years and decades: to become a professional, you had to learn mathematics, algorithms, network technologies, and gain practical experience. Today, thanks to AI, the barriers have been lowered dramatically: anyone can code, even without a technical background.

AI has become a translator between you and the computer. You describe the problem in words - he turns it into code, explains the logic and helps correct errors. This means that now the main thing is not to cram technology, but to learn to formulate tasks. The ability to work with AI and simple scripts gives everyone a chance to realize ideas that previously seemed impossible.

Development has always evolved, increasing the level of abstraction:

• Punch cards (1950s) → it was necessary to manually enter each operation.

• Low-level languages ​​(Assembly) → direct hardware control.

• High-level languages ​​(C, Pascal, Java) → programmers describe logic, not processor instructions.

• Frameworks and libraries (2000s) → instead of writing everything from scratch, we use ready-made modules.

• No-code/Low-code (2010s) → creating applications without programming.

• AI coding (2020s) → next level, where you communicate with the computer in natural language, and it writes code and explains it.

👉 Important: the ability to write simple scripts, automate routines and combine code with no-code tools gives a gigantic advantage. Even a small Python script paired with Notion, Airtable or Zapier can replace days of manual work.

Don't think like this:

• "AI will replace programmers"

• “I need to know everything about machine learning right away.”

• "Ehit's too difficult for me"

Think like this:

• "AI is my developer partner"

• “I am learning to give clear instructions”

• "Every day I get better"

Cursor is a next generation IDE where AI is built right into the development process. It sees your entire project and helps not only write code, but also understand it, improve the architecture and raise the level of abstraction. Instead of getting bogged down in details, you learn to formulate tasks: “Make an API to work with users,” “Add email validation,” “Optimize this class.” Cursor turns such requests into ready-made code, explanations and tests.

For a beginner, this means: not just copying other people’s pieces of code, but immediately learning to think like a developer. And for an experienced programmer, it saves time and allows you to focus on logic and architecture, rather than routine.

• "write tod"

• "make an application"

• "correct the mistake"

• "Create a TypeScript Calculator class with add, subtract, multiply, divide methods. Add error handling for division by zero"

• “Write a function to validate email using regular expressions. The function must return boolean"

• "Create a React component to display a list of tasks with the ability to add, delete and mark completed"

Before writing code, it is important to understand what components any modern application has:

• Frontend What the user sees: web pages, buttons, forms, interface.→ Examples of technologies: HTML, CSS, JavaScript, React.🔍 Example: a site login form or a list of tasks in a ToDo application.

• Backend Application logic: query processing, working with databases, business rules. → Examples of technologies: Node.js, Python (Django/Flask), Java, Go.🔍 Example: checking a user's password or calculating the final price of an order.

• Database (Database) Information storage: users, orders, notes, transactions. → Examples of technologies: PostgreSQL, MySQL, MongoDB.🔍 Example: a table with user logins and passwords.

• API (Application Programming Interface) An interface for communication between the frontend and backend or integration with external services.→ Examples: REST, GraphQL.🔍 Example: an application requests the exchange rate from an external service.

• InfrastructureWhere the application runs: servers, hosting, cloud services.→ Examples: AWS, Vercel, Heroku.🔍 Example: your website is deployed and accessible via a link.

• Code version control and synchronization with other developers To work with code in a team, you need Git.→ Examples: GitHub, GitLab, Bitbucket.🔍 Example: you can roll back changes if something breaks, or share the project with a colleaguey.

• Terminal and console This is the command line through which developers manage the project: launch the server, install packages, build.🔍 Example: npm start command to launch the application.

A terminal is a way to talk to a computer directly, using words and commands, rather than through windows and buttons.

Example: Instead of clicking the mouse and opening a folder, you write cd project and the computer goes to the folder.

It's faster and more flexible, especially in large projects.

GitHub is like Instagram for code:

• You have “posts” → these are your files and projects.

• There is a “post history” → Git stores all changes and allows you to roll back.

• There are “likes and comments” → colleagues can look at your code and suggest improvements. The main thing: GitHub is needed so as not to sweatSave the code, make saves to roll back if something breaks, and work as a team on one project. This is a code repository with a history of changes for your projects.

Develop = take an idea and turn it into a working application.

It's like building a house:

• Architect = product who sets the idea.

• Builders = programmers and code.

• Electricians and plumbers = APIs and databases.

• Deployment (placing the project on the server) = the moment when the house is ready and users move into it.

That is, development is not magic and not an endless stream of code. It is the process of turning ideas into tools that people use.

• Repository - a folder with your project and history of changes.

• Commit - saving changes to the code.

• Pull request (PR) - a proposal to make changes to the project.

• A bug is an error in the program.

• Deploy -placing the application on a server or hosting.

• Build - assembly of the project into a version ready to launch.

• Framework - a set of tools to speed up development.

• API (Application Programming Interface) is a way for one application to communicate with another.

• cd project → go to the project folder

• ls or dir → view the list of files

• node index.js → run project

• npm install → install dependencies

• git init → create repository

• git add . → add all files

• git commit -m "first commit" → save changes

• git push → push the project to GitHub

• Find the maximum number in the list

• Check if a number is prime

• Count the number of words in a line

• Add numbers from 1 to N

• Never store passwords in code → use .env

• Check packages beforeinstallation

• Do not insert random code without verification

• ✅ Installed Cursor

• ✅ Wrote the first function

• ✅ Made a calculator

• ✅ Started GitHub

• ⬜ Published the first project

• Install Node.js (download as a regular program).

• Open a terminal (on Windows - Command Prompt or PowerShell, on Mac/Linux - the Terminal application).

• Enter the commands:

node -vnpm -v

If version numbers appear (for example, v20.10.0), the installation was successful.

• In the terminal, create a folder and go to it:

mkdir my-first-project && cd my-first-project

• Initialize the project:

npm init -y

• Create a file index.js and add the code there:

console.log("Hello World!");

• Run it in terminal:

node index.js

👉 If you see Hello World! on the screen, it meansYou've just written and run your first code.

• In the terminal, install the Express library:

npm install express

• Create a server.js file and paste the code there:

const express = require('express');const app = express();app.get('/', (req, res) => res.send('Hello World!'));app.listen(3000, () => console.log("Server running on <http://localhost:3000>"));

• Start the server:

node server.js

👉 Now open your browser and enter the address: http://localhost:3000. You will see the inscription “Hello World!”. This is your first web server.

AI helps not only write code, but also explain errors.

• ❌ Bad: “The code doesn’t work”

• ✅ Good: “I have an error: TypeError: app.listen is not a function.” Here's the code: [insert piece]. Explain what’s wrong and how to fix it.”

👉 This way AI can explain a specific problem and show a solution.

Thus,you immediately understand:

• Terminal = the place where you enter commands (create folders, run code).

• .js files = your code, which is written in an editor (for example, Cursor IDE).

• Browser = the place where you see the output of a server or application.

Week 1: Basics

• Install Cursor IDE

• Create simple functions (addition, subtraction)

• Learn to run code

Week 2: Data Structures

• Working with lists and dictionaries

• Simple algorithms

Week 3: Functions and Classes

• Creation of classes

• Error handling

Week 4: First applications

• Calculator

• Game "Guess the number"

• Currency converter

AI and simple scripts allow you to solve dozens of real problems:

• Automation of routine → parsing tables, sending letters, reminders in Slack or Telegram.

• Working with files → mass renaming, photo sortinggraphics, format conversion.

• Integrations → Notion ↔ Google Sheets ↔ Airtable via Python script or Zapier.

• Finance and analytics → calculating expenses from CSV, plotting charts, generating reports.

• Business tasks → automatic uploading of leads from CRM, sending notifications to clients.

• Creativity → generation of pictures, texts or posts based on prepared templates.

• Calculator with graphical interface (React + TypeScript).

• Script for bulk renaming of files in a folder.

• A bot for Telegram that reminds you of tasks.

• Currency converter using public API.

• Password and note generator for personal use.

• Mini CRM: a simple application for storing contacts.

• “ToDo-list” web page with saving to a local database.

• Script for analyzing expenses from Excel/CSV file.

• Game "Rock, scissors, boom"ha" or "Guess the number."

• Integration of Notion and Google Sheets: synchronization of notes and tables.

This instruction is an example of how to work step by step with AI in Cursor. Just copy the prompts and move in order.

P0. Statement of the problem

“Create a currency converter application. Input: amount and currency code. Output: converted value into the selected currency. Use the public API (for example exchangerate.host).”

P1. Initializing the Project

“Create a new TypeScript project with a basic Node.js setup. Add ESLint and Prettier."

P2. Basic structure

“Create a file index.ts, where there will be a function convertCurrency(from, to, amount).”

P3. API connection

“Add a request to exchangerate.host API to get the current exchange rate.”

P4. Error Handling

“If the API is not responding or the currency is incorrect, throw an error with a clear message"

P5. CLI interface

“Make a simple command line interface where the user enters currencies and amounts.”

P6. Tests

“Create unit tests for the convertCurrency function. Check correct and incorrect input."

P7. Documentation

“Generate a README.md with instructions on how to launch and use the application.”

P8. Refactoring

“Improve the code: move work with the API into a separate module, add logging.”

P9. Add. features

“Add the ability to convert several currencies at once and display a table of results.”

❌ Errors:

• Trying to build a complex application right away

• Copy code without understanding

• Skip AI explanations

✅ Do this:

• Start small

• Always ask “why” and “how”

• Experiment with the code

• Combine small scripts with no-code tools

• Practice every day

Is it necessaryneed to learn math to program?

No. Basic arithmetic is enough. Most applications can be written without complex mathematics. Advanced mathematics is needed only for narrow areas (machine learning, graphics, cryptography).

What should I do if I don't understand the code that the AI ​​produced?

Ask: “Explain this code line by line, like a teacher to a beginner.” AI will sort everything out piece by piece. This is the best way to learn.

How not to drown in information?

Take small steps. One day - one function. One project - one week. Consistency is more important than speed.

Is it possible to study in parallel with work or study?

Yes, 30 minutes a day is enough. Small practices accumulate into big results.

What should I do if I'm afraid of making mistakes?

Mistakes are part of the process. Any code can be rewritten, and AI will help fix it. Error = step towards understanding.

What if I do something stupid?

This is fine. Everyone's firstthe projects are simple and “crooked”. It's not the result that matters, it's that you learn and see how the process works.

How long will it take to feel confident?

Typically, after 2-4 weeks of practice, you will be able to write simple applications and understand the basic process.

Is it necessary to learn English?

Preferably, since most of the documentation is in English. But AI can translate and explain. The main thing is to start.

Do you need a powerful computer?

No. To get started, a regular laptop is enough. Everything heavy can be done in the cloud or directly in the browser (for example, through Cursor IDE).

Myth 1: Coding is only for geniuses.

❌ Not true. It's a skill, like driving or cooking. You can start from scratch, and AI will become your instructor.

Myth 2: You need to study for years before writing something useful.

❌ With AI you can build your first calculator or bot within the first dayb. Benefit comes quickly.

Myth 3: If I’m over 30/40/50, it’s too late to start.

❌ It's never too late. Many successful developers entered the profession after 30 or even 50 years of age.

Myth 4: To write code, you must first master 1000 pages of theory.

❌ On the contrary. The best way to learn is by doing: set small problems, solve them with AI and understand the process.

Myth 5: If I don't know English, I won't be able to become a developer.

❌ Not true. AI can translate documentation and explain code in your language. English will help, but it is not a barrier.

AI coding is the natural next step in the evolution of development. Today anyone can:

• Master the basics in 30 days

• Create the first 10–15 programs

• Automate routine using simple scripts

• Combine code and no-code solutions

Key findings:

• AI is a tool that makes you 10 times more efficient

• Start withsimple and complicate gradually

• Learn to write good prompts

• Combine code with no-code

• Work in Cursor - and it will become your personal assistant in development

"AI will not replace programmers, but programmers who use AI will replace those who do not use it."

Good luck on your AI coding journey.