Ask a group of developers which programming language is best, and the conversation can quickly become passionate. Some will swear by Python because of its simplicity and huge ecosystem. Others will defend Java for its reliability in enterprise systems. JavaScript developers may point to its role across modern web development, while C and C++ supporters will argue that nothing else offers the same level of control and predictable performance.
The truth is that no programming language is perfect for every situation.
For people learning to code, this can make the question of "Which language should I learn first?" feel more confusing than helpful. But according to Gil Tene, CTO of Java platform company Azul, developers should avoid becoming too attached to one language alone.
His advice is straightforward: become language-agnostic.
That does not mean ignoring the strengths of individual languages. It means treating programming languages as tools, rather than personal identities.
There Is No Single Best Language for Every Developer
Different languages are built for different needs.
Some are well suited to web applications, while others are commonly used for enterprise platforms, mobile development, embedded systems, data analysis, cloud infrastructure or video games. A language that is excellent for one task may be a poor choice for another.
Python, for example, is popular in data science, automation and machine learning because it is approachable and has a strong library ecosystem. Java remains deeply established in enterprise systems. JavaScript and Node.js are central to web development. C and C++ still power large parts of systems programming, performance-sensitive applications and operating environments.
The problem begins when developers assume that the language they already know must be the best choice for everything.
Tene argues that this kind of "language religion" can limit a developer's growth. Someone who only works in one language may miss out on useful ideas, better approaches and job opportunities available in other parts of the industry.
Programming Languages Are Tools, Not Identities
Developers often form strong personal attachments to their preferred programming languages. That passion can be useful when it encourages learning, community involvement and technical excellence.
However, it can become limiting when it turns into a refusal to learn anything else.
At a fundamental level, programming languages are different ways of instructing computers to perform tasks. The final result still has to run on hardware, execute instructions and produce an outcome for the user.
The language is important, but it is not the entire skill.
A strong developer understands broader concepts such as software design, debugging, testing, performance, security, architecture and problem-solving. Those skills can move across languages much more easily than many beginners realise.
Learning multiple languages can also help developers see the same problem from different perspectives. A developer who understands object-oriented programming, functional programming and lower-level system programming may be better prepared to choose the right tool for a specific job.
Why Knowing Several Languages Can Make You Better
Tene recommends that developers learn at least three programming languages well enough to develop a more flexible mindset.
The goal is not to become an expert in every language that appears online. New languages and frameworks emerge constantly, and trying to learn all of them would be unrealistic.
Instead, developers can benefit from learning languages from different programming styles.
For example, someone may start with Python or JavaScript because they are accessible and widely used. They could then explore Java, C# or Go to understand strongly typed enterprise and backend development. Later, they might learn C, C++ or Rust to gain more awareness of memory management, system-level performance and lower-level computing.
Even spending time with a functional language can be useful. Languages such as Haskell, Lisp or F# may not dominate job listings, but they can introduce different ways of thinking about data, functions and program structure.
The value is not only in becoming employable for more roles. It is also in becoming less dependent on one way of solving problems.
Do Not Be Too Quick to Call a Language "Dead"
The technology world has a habit of declaring programming languages dead long before they actually disappear.
Java has been described as outdated or dying for years, yet it remains widely used across enterprise software, financial systems, backend platforms and large-scale business applications. C and C++ are often criticised for being older languages, but they continue to play major roles in operating systems, embedded devices, game engines and performance-heavy software.
The Linux kernel, for example, remains heavily associated with C, while C++ continues to be important in areas where predictable behaviour and high performance matter. Rust is gaining attention as a safer alternative for some systems programming work, but that does not mean C or C++ will suddenly vanish.
A language can lose popularity in one area while still remain important elsewhere.
Rather than asking whether a language is "dead," a better question is whether it has a stable community, real-world use cases, active maintenance and meaningful demand in the kind of work you want to do.
Balancing Career Value and Technical Curiosity
Some languages are exciting because they introduce unusual ideas or elegant technical concepts. Functional languages such as Haskell and Lisp are often admired by developers for this reason.
However, technical interest and job-market demand are not always the same thing.
A developer who wants to maximise career flexibility should understand which languages are widely used in real organisations. Tene highlights Java, JavaScript, Node.js, Python and the C-family of languages as examples of technologies with broad and lasting relevance.
C# also remains important, particularly in Microsoft-focused organisations, enterprise applications and game development through Unity. Go has become increasingly relevant in cloud infrastructure, backend services and systems tooling. Rust is attracting attention in areas where developers want more memory safety without completely giving up performance.
Lua is another interesting case. It started with a strong presence in scripting and system administration environments, but it has become widely used in gaming and embedded applications.
The best approach is to combine practical career awareness with curiosity. Learn languages that give you solid job opportunities, but also explore languages that expand how you think.
Choose Languages Based on the Problem
The most useful question is not "Which language is best?"
It is "Which language is most suitable for this problem?"
A web application may call for JavaScript, TypeScript, Node.js, PHP, Python, Java or C#, depending on the organisation's architecture and goals. A high-performance game engine may benefit from C++ or Rust. A data analysis task may be easier in Python. A cloud-native service may be a good fit for Go.
The language should support the requirements of the project, the skills of the team, security expectations, performance needs and long-term maintenance plans.
A developer who understands several languages is more likely to make this decision based on evidence rather than personal preference.
Final Thoughts
Programming languages matter, but no language should become a limitation.
The strongest developers are not necessarily those who know the newest or most fashionable language. They are the ones who understand how to learn, adapt and choose the right tool for the task in front of them.
For beginners, it still makes sense to start with one language and build a solid foundation. But once the basics are in place, exploring other languages can make you more versatile, more employable and more capable of seeing problems from different angles.
In the end, a programming language is only as effective as the developer using it.
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