Mr Viral
Key Takeaways
Google has launched a free version of Gemini Code Assist, an AI-powered coding tool that helps developers generate, debug, and optimize code across multiple programming languages with nearly unlimited capacity.
Gemini Code Assist supports 128,000 input tokens and allows up to 180,000 code completions per month, enabling developers to analyze large code segments, detect errors, and improve efficiency.
AI is enhancing coding but not replacing human coders yet, as Google still requires human review for AI-generated code due to an increase in bugs when relying solely on AI coding assistants.
Coding is a demanding job, and with the additional time needed to find errors and fix bugs, it becomes even more stressful. This is where advanced tech like AI, which has been gaining momentum (and utility), comes into play.
After giving Gemini a memory, Google’s latest announcement has the potential to completely change how developers look at coding.
Unpacking Google’s Free Coding Gemini
Google has launched a free Gemini version, which will allow users to code for free. Powered by Google’s Gemini 2.0 AI model, Gemini Code Assist is equipped with tools to carry out coding-related tasks. It will do so by analyzing and validating a large number of real-world coding use cases.
You can use this tool to generate code in any programming language, be it Python, JavaScript, C++, or anything else.
The best part, if you ask me, is that it understands regular, everyday languages, too. So, you don’t really need to know the subtle ins and outs of coding to have a code generated. Of course, implementing the code after getting it is a different ball game, so you might need expert assistance if you’re a non-coder.
Getting the first step done for absolutely free is huge nonetheless and can potentially change the entire web development industry. While there are several free coding assistants on the market, this one has an almost unlimited capacity.
You get 180,000 code completions per month on the Gemini Code Assist – a limit that’s almost impossible to reach. Additionally, Google said that the AI supports over 128,000 input tokens, meaning it’s also capable of processing substantial code segments.
In addition to generating codes, you can also use it to understand why your code isn’t working. A simple prompt like “Explain what this Python code snippet does and find any errors” will get you an in-depth explanation of the code. You can even ask for improvements and suggestions.
The good news keeps coming, as the tool can also review existing code in both public and private depositaries. Aspiring coders can dive deep into the work they love and upskill through case studies. Plus, even if you don’t want to marry the tool, delegating basic reviews to an AI agent can significantly reduce the amount of time you need on a single project.
It’s worth noting that the free Gemini version has been released by GitHub, a Microsoft-owned developer platform.
The Future of Code with AI
AI has already taken over coding, and companies have been quick in adapting and accepting the AI tools available out there. Over 25% of all new code at Google is said to be AI-generated.
While I’m all in for AI advancement, it’s also true that AI is currently far from perfect when it comes to coding. In fact, reports suggest that developers have experienced a drastic increase in bugs (up to 41%) when they rely on AI coding assistants to write codes.
Even Google only accepts AI-generated codes after a human has reviewed and approved them. So, while the dystopian nightmare of AI taking over coding jobs isn’t actually here yet, with the new Gemini, I’d say it’s good to be prepared.
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Vlad is Techreport’s in-house Executive Editor. With over a decade of experience in tech content, he’s passionate about computer hardware, an advocate of online privacy, and strongly believes in the open-source, scarce-money nature of cryptocurrency. Read more
When he’s not working, he’s traveling with his partner and their cat, learning Python, or reading good books. He never owned a PC he did not build. Read less
View all articles by Vlad Melnic
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