In 2023, the programming world continued to evolve rapidly, reflecting new technological challenges and industry needs. The year was marked by the emergence of new programming languages, the evolution of existing ones, and the increasing influence of artificial intelligence on development processes.
One of the most talked about developments was the introduction of the Mojo language by Modular in May 2023. Mojo is positioned as a high-performance alternative to Python, especially in the field of machine learning. It combines the simplicity of Python with the performance of C++, offering a hybrid type system and support for SIMD commands to speed up computation.
Google has continued to develop Carbon, a language introduced in 2022 as a potential successor to C++. Carbon aims to address the shortcomings of C++ by offering improved readability and bi-directional compatibility with existing code.
In the area of functional programming, the Gleam language has attracted attention, receiving funding from the Erlang Ecosystem Foundation in 2023 to create tutorials. Gleam offers static typing and compilation in Erlang or JavaScript, providing type-safe multithreaded programming.
In the database arena, a new SQL:2023 standard has been adopted that includes support for property graph queries and advanced JSON handling features. This extends SQL’s ability to handle complex data structures and integrate with modern applications.
Artificial intelligence continues to have a significant impact on programming. In 2023, Google unveiled PaLM 2, a neural network trained in 20 programming languages, including JavaScript, Python, and Fortran. PaLM 2 is capable of generating code, performing logic and math tasks, and translating text in more than 100 languages.
According to Stack Overflow’s 2024 survey, more than 76% of developers are already using or planning to use AI tools in their work, and 62% are actively incorporating them into their development process.
In the popularity rankings for programming languages in 2023, JavaScript maintains its leading position despite a gradual decline in usage share. TypeScript continues to gain popularity, becoming the primary choice for new projects. Python returned to the top 3 after several years of decline, which can be attributed to the growing interest in data analysis and machine learning.
These trends point to the continued evolution of programming languages to improve performance, security, and integration with modern technologies such as artificial intelligence and cloud computing. It is important for developers to stay abreast of these changes in order to effectively adapt to new industry requirements.