Programming is based on a simple principle: giving instructions to a machine to perform a task. These instructions are written in a programming language, a set of syntactic rules that the computer can interpret. Therefore, starting with programming means learning the grammar of one of these languages and then applying it to solve concrete problems.
Progressing without understanding: the trap of AI assistants for beginners
Generative artificial intelligence tools (like ChatGPT, GitHub Copilot) are changing the way beginners approach coding. Producing a functional program in a few seconds becomes possible without understanding the underlying logic.
The study “The Widening Gap” (Prather et al., ACM ICER 2024) identifies three recurring problems among novices who rely too heavily on these assistants: interruption of reasoning, misleading induction, and apparent progress without a solid mental model. Specifically, these beginners succeed in exercises but fail as soon as they need to transfer a skill to a new problem.
A synthesis published in 2026 confirms this gap: students who delegate massively to the model produce code but then fail comprehension tests. Those who use AI as a verification or problem decomposition tool maintain their programming logic. The difference lies in the approach: AI as a passive crutch leads to regression, while AI as a reflective mirror fosters progress.
Before setting up a coding assistant, it is more effective to start by learning to code with Programmi Web by laying the logical foundations without shortcuts.
Choosing a first programming language: Python, JavaScript, or HTML/CSS
The choice of the first language blocks many beginners. The answer depends on the type of project aimed at, not on a universal ranking.
- HTML and CSS are not programming languages in the strict sense (no native conditional logic), but they form the foundation of web development. Learning them first allows for immediate visual results in a browser, which keeps motivation high.
- Python is recommended for data analysis, task automation, or an introduction to artificial intelligence. Its syntax reads almost like plain English, which reduces friction at the start.
- JavaScript is the language of interactive web. It runs directly in the browser, without additional installation. For those aiming for web development (front-end or back-end with Node.js), it is a coherent choice from the outset.
A criterion often overlooked: the quality of documentation and the size of the community. Python and JavaScript have active forums and thousands of French-speaking tutorials. When a beginner encounters an error, finding an answer in a few minutes makes a significant difference.
Building a concrete project rather than following tutorials endlessly
The classic trap for beginners in coding has a name in the English-speaking community: “tutorial hell.” The principle: chaining video courses and guided exercises without ever writing code on their own. Understanding remains superficial.
The breakthrough occurs when moving to a personal project, even a modest one. A currency converter in Python, a personal web page in HTML/CSS, a small game in JavaScript: the format matters little. What counts is facing a problem without a ready-made solution in the course.
This transition forces one to search in the documentation, to read error messages, to break down a problem into sub-problems. These skills constitute the real learning of programming, much more than memorizing syntax.
Publishing your code to progress
Putting your project on a platform like GitHub, even imperfectly, serves two functions. First, it forces you to structure your code so that it is readable by others. Second, it creates a verifiable portfolio, useful for a recruiter or potential client.
A GitHub repository with three small commented projects is worth more than an online course certificate on a computer development-oriented CV.
Organizing your coding learning over time
Regularity takes precedence over intensity. Coding for thirty minutes a day yields better results than eight hours on Sunday followed by a week of inactivity. Procedural memory (the one that retains gestures and reflexes) consolidates through spaced repetition, not through marathons.
An effective learning framework relies on three elements:
- Only one language for the first few weeks. Switching from Python to JavaScript and then to C# in ten days builds nothing solid.
- A main resource (a structured course, a book) supplemented by the official documentation of the language. Multiplying sources at the start generates confusion.
- A continuous project that grows with acquired skills. Each new concept learned (loops, functions, data structures) integrates into the existing project instead of remaining an isolated exercise.
A common mistake is wanting to “understand everything” before coding. Programming is learned by writing code, breaking it, and fixing it. Reading documentation without practicing is like studying swimming in a book.
When to introduce AI into your process
AI assistants become useful once the basics are acquired: syntax, control structures, functions. At this stage, asking a tool to suggest an optimization or explain an error message accelerates learning without short-circuiting understanding.
Before this threshold, it is better to rely on the forums of the chosen language community and on careful reading of error messages. These messages, often perceived as hostile by beginners, are actually the best diagnostic tool available.
The path to mastering coding does not follow a linear curve. The first weeks yield rapid visible results, then comes a plateau where each progress requires more effort. This plateau is normal and temporary, provided daily practice is maintained and a concrete project is kept as a compass.
