In 2025, artificial intelligence has become a key element in all areas of technology, including programming.

How has artificial intelligence influenced the choice of programming languages?

The speed of learning has changed drastically. A beginner programmer can now learn to create dynamic and static websites in less than three months, thanks to advanced tools and online communities that facilitate learning.

The context has also evolved. After the pandemic, developers face a more competitive market. Many projects have concluded, and remote work has proven beneficial, allowing professionals to work from anywhere in a more comfortable environment.

Which programming language should I choose?

First, let's consider two aspects:

Why do I choose this language? What do I want to create? What projects interest me the most? It's different to enter this field for economic reasons than for the passion of creating something new.

Although the economic difference is not so significant, programming as a QA (tester) is not the same as being a web or mobile application developer.

Most Used Languages According to GitHub

According to GitHub, the platform where all code projects are uploaded, the most used languages from 2014 to 2024 were undoubtedly JavaScript and Python. This famous language that managed to captivate all front-end programmers gave dynamism to websites, with constant updates and a world behind to learn. JavaScript is not only front-end oriented, but the migration to using back-end with Node.js was a success.

In the last year, as we see in the graph, Python led the scene. The help of blockchain and AI generated great demand for innovative projects.

Language Trends in 2024

In 2024, the GitHub ranking places Python in first place, JavaScript in second, and TypeScript in third. But, what about TypeScript?

What is TypeScript?

TypeScript is JavaScript, but with typing. This means that with TypeScript you have greater control over the creation of variables, functions, and objects, reducing errors as your project scales with more users.

What should I learn this year?

• Our recommendations are as follows:


• If you want to have a digital presence (websites, management systems, landing pages, SEO), I would start learning JavaScript. It is the foundation of modern web.


• If you want to sell SAAS systems, I recommend TypeScript, as it will allow you to better handle errors and facilitate the development of scalable projects.


• If you are interested in artificial intelligence or process automation, my recommendation is to go for Python. This language is dominating AI, data science, and process automation.


• If you are going into blockchain, the programming language you need to learn is Solidity.


• If you want to make mobile applications, the framework you should choose is React Native, but you must first start with JavaScript.


• If you are interested in testing, I would start with Java or Ruby. Both languages are widely used in testing and automation.

Examples of Projects Made with These Languages

• JavaScript: Platforms like Facebook, Instagram, and Twitter use JavaScript for their user interfaces and some back-end functions thanks to Node.js. If you are looking for a flexible language that allows you to work both on the front-end and back-end, JavaScript is the best option.


• Python: Instagram, Spotify, and Dropbox use Python in their back-end thanks to libraries like Django and Flask. Additionally, in the field of artificial intelligence, Tesla and Google use Python to train machine learning models.


• TypeScript: Companies like GitHub, Airbnb, and Slack have adopted TypeScript to develop more scalable applications. This is possible because static typing helps detect errors before the code reaches production. If you want to work on large projects or in large teams, TypeScript is the ideal option.


• Rust and Go: Rust has gained a lot of popularity for its memory safety, being widely used in systems and blockchain projects. Go, on the other hand, is ideal for developing distributed applications and microservices, especially with the rise of cloud infrastructure.


• Julia and R in artificial intelligence: Although Python remains the leader in AI, other languages like Julia and R are beginning to gain ground in data science due to their optimizations in numerical processing and statistical analysis.

Direct Comparison Between Key Languages

• JavaScript vs TypeScript: JavaScript is dynamic and flexible, but that can be a problem when projects grow. Errors are only detected at runtime. TypeScript, being a superset of JavaScript with static typing, helps detect errors before the code runs. Ideal for large projects.


• Python vs Java: Python is known for its simple syntax and is the preferred language for AI, data science, and rapid prototyping. Java, although more rigid, is perfect for large applications and scalable enterprise systems, as well as Android mobile applications.

Improving Your Employability as a Developer

Learning a complete stack (for example, JavaScript + Node.js + React) will make you more versatile and competitive in the job market. Companies are looking for full-stack developers capable of handling both front-end and back-end.

Additionally, working on your soft skills, such as communication and teamwork, is crucial. Software development is a collaborative effort, and knowing how to interact with other teams is key.

Additional Resources for Learning

• Learning Platforms:


• freeCodeCamp: Thousands of hours of free content to learn JavaScript, Python, and more.
• Udemy: Paid courses, but with great discounts.
• Codecademy: Perfect for learning by interacting with code.
• Coursera: Some courses taught by prestigious universities.

• Recommended Books:


• JavaScript: 'Eloquent JavaScript' by Marijn Haverbeke
• Python: 'Automate the Boring Stuff with Python' by Al Sweigart
• TypeScript: 'Programming TypeScript' by Boris Cherny

Contact us! We are We make it Lab. hola@wemakeitlab.com

Keywords: programming languages, web development, JavaScript, Python, Java, TypeScript, Go, latest trends, programming languages 2025.