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Software Development

Software development technologies to learn in 2024





Software Development


Software development technologies to learn in 2024

Published: 2017/11/13

Updated 10/04/2024

3 min read

With each passing year, new exciting technologies are making impact in the software development industry. At the same time, well-established languages, frameworks and systems are all competing for our attention, defending their strong positions or gradually falling into oblivion. Our list of top 10 software development technologies to learn in 2024 includes both industry behemoths and newcomers. They all have one thing in common – they’re doing great in the year 2024.

Software development is an ever-changing field – there are few clichés as true as this one. Both budding developers and veterans of all specializations are constantly updating their technology stacks. Sometimes, it is curiosity that drives them to learn new technologies. At other times, the goal is to obtain more marketable skills or simply to meet the requirements of a new project.

Our list is meant to be helpful for all developers. It includes technologies that in the past severals months (or years) have been giving us every right to believe that their popularity is assured and likely not to slow down in the upcoming years. It is also a great way to spot or confirm popular industry trends. Do they show in our list? Let’s find out.

Programming Languages

  • Python: Widely used for web development, data science, AI and machine learning. Easy to learn for beginners. 
  • JavaScript: Essential for front-end web development. Used in popular frameworks like React, Angular, and Vue.js. 
  • Java: Versatile language used for enterprise applications, Android development, and Big Data. 
  • C/C++: High-performance languages used for system programming, game development, and embedded systems. 
  • TypeScript: Adds static typing to JavaScript. Increasingly used in web development. 

Web Development Frameworks

  • React: Popular JavaScript library for building user interfaces. Component-based and efficient. 
  • Angular: Comprehensive front-end framework by Google. Used for complex web apps. 
  • Vue.js: Progressive JavaScript framework that is lightweight and adaptable. 
  • Django: High-level Python web framework that emphasizes reusability and rapid development. 

Artificial Intelligence & Machine Learning

  • TensorFlow, PyTorch: Leading open source libraries for building and training machine learning models. 
  • Natural Language Processing (NLP): A subfield of AI focused on enabling computers to understand human language. It is key to chatbots and virtual assistants. 
  • Hugging Face SDK: Open-source library providing state-of-the-art NLP models and tools
  • Computer Vision: Allowing computers to interpret and understand visual information from the world. It is used in facial recognition and self-driving cars.

Cloud Computing

  • Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform: Platforms provided by major cloud providers with a wide range of services for deploying and scaling applications. 
  • Serverless Computing: Cloud execution model where the cloud provider dynamically manages the allocation of machine resources. Enables developers to focus on code. 

DevOps Tools

  • Docker: Platform for developing, shipping and running applications using containers. Provides consistency across environments. 
  • Kubernetes: Open-source system for automating deployment, scaling and management of containerized applications. 
  • Jenkins: Leading open-source automation server for continuous integration and delivery. 

 AI-powered Software Development Tools:

  • Github Copilot (Code Generation): Developed by GitHub and OpenAI, it provides real-time code suggestions and completions in multiple languages by leveraging GitHub’s vast code repositories.
  • Replit GhostWriter (Code Generation): An AI code generation tool bundled with the Replit IDE. It provides code completion and supports 16 programming languages.
  • Amazon CodeGuru Reviewer (Code Review): Uses machine learning to detect security vulnerabilities and code quality issues automatically. Integrates with popular IDEs and CI/CD tools.
  • Codium AI Coding Agent: An autonomous agent that plans and completes code.

If you are interested in taking advantage of the software development technologies mentioned in this article, boosting your growth and enhancing products, feel free to contact us using this form.

About the authorSoftware Mind

Software Mind provides companies with autonomous development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture that embraces openness, craves more and acts with respect enables our bold and passionate people to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world. 

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