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You can now live your developer dream with Google’s free Gemini Code Assist access

Google gemini code assist graphic.
Screenshot Google

Google has made a free version of its Gemini Code Assist tool available worldwide starting February 25. The generative AI model, previously aimed at businesses, is powered by Gemini 2.0 and integrates with IDEs like Visual Studio Code.

This means you can access Code Assist’s features directly from the environment you’re working in. It will auto-complete code as you’re typing it, and you can also work through problems in the chat or generate code snippets.

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The most interesting point about this new free version (officially dubbed “Gemini Code Assist for individuals”) is the usage limits. Every user has access to 180,000 requests a month — which is well over 5,000 per day. These are big numbers no matter how you look at it, but how many requests you get through will depend a lot on what kind of project you’re working on.

Code completions count as a request, so every time Code Assist generates a suggestion based on what you’re typing, one request is used up — whether you accept the suggestion or not. Depending on the situation, developers can write thousands of lines of code per day, so it is definitely possible to hit the limit.

However, if you’re working on something more complex or concise, you’ll be much more unlikely to reach the cap. Plus, if you know you’re going to type a bunch of code manually and you don’t want to waste your requests, you can toggle off code completion until you’re ready to use it again.

So, all things considered, the usage caps really are very high and you’ll be able to get a lot of usage from the free assistant, even if you’re a full-time developer. In a blog post, Google compares its limit to “other popular free coding assistants” with only 2,000 code completions per month — which happens to be the cap for the free version of GitHub Copilot, Google’s main competitor in this area.

Alongside all of the requests, you’ll also get a pretty large token context window. This lets you work with big files and have Gemini take all of them into context when it generates responses.

Google is also starting a public preview of “Gemini Code Assist for GitHub,” which generates free code reviews of pull requests in GitHub and suggests improvements. This is intended to help teams review each other’s work more quickly and push changes more efficiently.

You’ll need a Gmail account to sign up and install Gemini Code Assist, and as a free user, you’ll get access to all of the features mentioned so far. If you need more advanced features like productivity metrics, customized responses, or cloud integrations, you’ll still need the paid version.

Willow Roberts
Willow Roberts has been a Computing Writer at Digital Trends for a year and has been writing for about a decade. She has a…
I saw Google’s Gemini AI erase copyright evidence. I am deeply worried
Gemini Advanced on the Google Pixel 9 Pro Fold.

Update: Google has responded to Digital Trends’ queries. The story has been updated with company’s statement below.
The rise of generative AI has been a fairly messy process, especially from fair usage ethics and copyright perspective. AI giants are inking deals with publishers to avoid legal hassles, while at the same time, they are embroiled in copyright tussles in courts in multiple countries.
As the ravenous appetite for training AI on user data grows, we might be in for another ethical conundrum. Multiple users on X and Reddit have shared demonstrations of how Google’s latest Gemini 2.0 series AI model can remove watermarks from copyright-protected images.
Going by the before/after samples of images, it seems Gemini is doing a fairly good job of removing the watermarks. Notably, it’s not only erasing those banner-style watermarks, but also fairly complex overlays with design and stylized text elements.
https://x.com/ajiteshleo/status/1901484196972945872?s=61
The model in question is the Gemini 2.0 Flash, which was released earlier this year and got a reasoning upgrade, as well. It is worth noting here that you can not remove the watermark if you are using the mobile or desktop version of the Gemini 2.0 Flash model. Trying to do so returns a message like this:
“Removing watermarks from images without the explicit permission of the copyright holder is illegal in most countries. It is important to respect the copyright laws and intellectual property rights. If you want to use an image with a watermark, you should contact the copyright holder and ask for permission.”
You can, however, try and remove the watermark from images in the Google AI Studio. Digital Trends successfully removed watermarks from a variety of images using the Gemini 2.0 Flash (Image Generation) Experimental model.
 
It is a violation of local copyright laws and any usage of AI-modified material without due consent could land you in legal trouble. Moreover, it is a deeply unethical act, which is also why artists and authors are fighting in court over companies using their work to train AI models without duly compensating them or seeking their explicit nod.

How are the results?
A notable aspect is that the images produced by the AI are fairly high quality. Not only is it removing the watermark artifacts, but also fills the gap with intelligent pixel-level reconstruction. In its current iteration, it works somewhat like the Magic Eraser feature available in the Google Photos app for smartphones.
Furthermore, if the input image is low quality, Gemini is not only wiping off the watermark details but also upscaling the overall picture. .
https://x.com/kaiju_ya/status/1901099096930496720?s=61
The output image, however, has its own Gemini watermark, although this itself can be removed with a simple crop. There are a few minor differences in the final image produced by Gemini after its watermark removal process, such as slightly different color temperatures and fuzzy surface details in photorealistic shots.

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Gemini Advanced on the Google Pixel 9 Pro Fold.

Google’s Gemini AI has steadily made its way to the best of its software suite, from native Android integrations to interoperability with Workspace apps such as Gmail and Docs. However, some of the most advanced Gemini features have remained locked behind a subscription paywall.
That changes today. Google has announced that Gemini Deep Research will now be available for all users to try, alongside the ability to create custom Gem bots. You no longer need a Gemini Advanced (or Google One AI Premium) subscription to use the aforementioned tools.

The best of Gemini as an AI agent
Deep Research is an agentic tool that takes over the task of web research, saving users the hassle of visiting one web page after another, looking for relevant information. With Deep Research, you can simply put a natural language query as input, and also specify the source, if needed.

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Google Gemini on an iPhone.

Google Gemini encompasses many features, but until now, it has not requested access to your Google Search history. This changes with the introduction of the company’s new Gemini Personalization model. Android Authority discovered that this feature is part of the Google app beta (version 16.8.31).

When you select the Gemini Personalization model, a confirmation pop-up will appear. If you grant permission, you allow Gemini to access your search history, which enables the chatbot to provide more relevant responses. To use this feature, you must ensure that your Web & App Activity setting is enabled.

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