The top programming languages to learn if you want to get into AI

For example, the Rust MCP server is an AI-driven tool that helps enforce Rust idioms and best practices. The future of AI development and computing itself are being reshaped by the languages and tools we create today. The latest addition is Bend, a massively parallel, high-level programming language that compiles a Python-like language directly into GPU kernels. It runs on massively parallel hardware like GPUs, delivering near-linear speedup based on core count with zero explicit parallel annotations—no thread spawning, no locks, mutexes or atomics. Powered by the HVM2 runtime, Bend exploits parallelism wherever it can, making it the Swiss Army knife for AI—a tool for every occasion.

Choosing The Right Scripting Language For System Automation

The language you choose needs to integrate smoothly with those. If it doesn’t, you’re going to spend a ton of time wrestling with compatibility issues. Look for languages that have good support for common protocols and formats. Think about APIs, databases, and other services you’ll need to connect to.

ARX Robotics rides defence tech wave with €31M for battlefield robots

Each data center powering large language models like ChatGPT consumes as much energy as a small city. Here is the list of the top 10 programming languages for AI and Natural Language Processing. Deploying AI models in production environments, especially on edge devices with limited computational resources, can be challenging with Python. Python’s interpreted nature and runtime dependencies can lead to increased resource consumption and slower execution speeds. Compiled languages like Go or Rust, which offer lower runtime overhead and better control over system resources, are often preferred for deploying AI models on edge devices. When the AI field experienced a long period of diminished funding and interest in the 1970s and 1980s, the so-called “AI Winters”, the focus on specialized AI languages like LISP began to fade.

Do developers still need to learn programming languages in the age of AI?

Will it make some languages obsolete, or will it just make everyone more productive? Python continues to be a top choice for automation in 2025, and for good reason. Its clear syntax and extensive libraries make it accessible to both beginners and experienced developers. It’s not just about ease of use; Python’s versatility allows it to handle a wide range of automation tasks, from simple scripting to complex workflow orchestration. Next up, how well does the language play with others? You probably already have a bunch of tools and systems in place.

If we want to rebuild society, we’ll need to know how. And in the event of a civilizational collapse, a lot of our collective expertise—like my precious WikiHows—will be locked away on hard drives or lost in the cloud. Dupras hopes that Dusk OS will give post-collapse humans access to archives of lost knowledge, like the Svalbard Global Seed Vault for human endeavor. It’s best to have Dusk OS downloaded on an old phone, memory stick, or laptop before the collapse.

At the heart of Mojo’s design is its focus on seamless integration with AI hardware, such as GPUs running CUDA and other accelerators. Mojo enables developers to harness the full potential of specialized AI hardware without getting bogged down in low-level details. Python, for example, has long been the favorite among modern AI developers for its simplicity, versatility, and extensive ecosystem. However, its performance limitations have been a major drawback for many AI use cases. Join leaders from Block, GSK, and SAP for an exclusive look at how autonomous agents are reshaping enterprise workflows – from real-time decision-making to end-to-end automation. It’s safe to say that the age of generative AI is well and truly upon us, rapidly changing the world of work as we know it.

Is learning to code worth it if I don’t want to be a software developer?

Plus, with .NET Core, C# can also work on different platforms. Ruby, often used with the Ruby on Rails framework, is easy to use and code looks clean. For example, Chef, which is used to manage how the cloud is set up, is made with Ruby. Familiarizing yourself with these languages will prepare you well for a career in robotics, whether you’re a student or already in the workforce.

• It comes down to your own work style, skills, and preferences — are you someone who likes to ship features and try things out?
• But don’t let that fool you; it’s a powerful language, especially if you’re aiming to get into the Apple ecosystem.
• Developers can continue to use their favorite Python tools and packages while benefiting from Mojo’s performance enhancements.

It’s why Python remains the best all-purpose programming language for many. Finally, don’t underestimate the power of a strong community. A large and active community means there are more resources available, like libraries, frameworks, and tutorials.