Github

OpenAI wants to eat Microsoft’s toast with its own GitHub

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The relationship between OpenAI and Microsoft has gone through better times. And when their technological alliance began, it was one of the first examples that indicated to us that all this AI was going to last for a long time. And here we find ourselves, in a much more delicate and powerful panorama in equal measure. However, now this alliance is going through one of its most tense moments, and the culprit has names and surnames: OpenAI would be developing its own code hosting platform, rivaling GitHub, which belongs to Microsoft. We tell you all the details. Why does this matter? GitHub is one of Microsoft’s crown jewels in the technology ecosystem. If OpenAI continues with this project, it would be attacking one of the most strategic businesses of its main partner and investor, the same company that has injected billions of dollars in its growth since 2019. And over the last two years, their relationship has gone from being symbiotic to being, on certain fronts, directly competitive. What exactly happened. According to account The Information, several OpenAI engineers would have been fed up with the constant GitHub service outages in recent months. So they decided to consider building their own alternative. As the medium shares, the project is still in the initial phase, so it could take months to see the light (if it ever does), but the medium assures that the possibility of selling it as a product to OpenAI clients is already being considered. At the moment no company has confirmed or denied it. Renegotiations. The crazy idea of ​​​​building your own GitHub arrives in full renegotiation of the terms of that same alliance that they forged a few years ago, a process that, according to the Wall Street Journalhas become extremely tense. As the media reports, OpenAI wants to reduce dependence on Microsoft in computing and distribution, and is also trying close the acquisition of Windsurfthe AI ​​startup from which Google also got involved to keep a good part of the talent. The problem: Microsoft has access to all of OpenAI’s intellectual property under the current agreement, and OpenAI doesn’t want that to include the purchase of Windsurf. Microsoft, for its part, offers its own AI programming tool, GitHub Copilotwhich competes directly with what OpenAI is trying to build. Media fight. According to the WSJseveral OpenAI executives have gone so far as to internally debate what they describe as a “nuclear option”: publicly accusing Microsoft of anti-competitive behavior and seeking a federal regulatory review of the contract. That is, take the fight to the legal and media arena. That this possibility is on the table says a lot about the level to which the conflict has reached. Both companies have also been fighting for some time over the percentage of participation that Microsoft would have in the new for-profit entity which OpenAI wants to become. OpenAI has until the end of the year to complete that transformation or lose $20 billion in funding it had committed to. How we got here. Microsoft first invested in OpenAI in 2019 with 1 billion dollars. In exchange, it gained the exclusive right to sell OpenAI’s tools through its Azure cloud and preferential access to its technology. For years, it was a sweetheart deal for the two: Microsoft positioned itself as a leader in enterprise AI and OpenAI got the infrastructure and money to grow. But now the market has changed a lot, and what was a relationship of mutual dependence has become a race in which the two compete on almost the same fronts: consumer chatbots, productivity tools with AI, solutions for companies, etc. For now, both companies maintain the official speech of optimism about their ability to continue building together. But the cracks are increasingly difficult to cover. In Xataka | Aragón is becoming a Spanish data center giant thanks to Amazon. There is still a big unknown

Claude Code is being the big favorite among programmers. So much so that he already signs 4% of everything that is uploaded to GitHub

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It is worth taking a look at how generative AI It is transforming the daily lives of many programmers. And little by little these tools are conquering the environments of millions of developers. The achievement in this aspect is for Claude CodeAnthropic tool, which already represents 4% of all public commits uploaded to GitHub, according to a report by SemiAnalysis. The media says that, if it maintains its current pace of adoption, it is very possible that it will reach 20% of all daily contributions before the end of 2026. Although there are nuances that should be highlighted. Why is it important. Claude Code is slowly gaining the reputation of being the favorite tool for programming with AI. The tool works radically differently than traditional code wizards. It is not a chatbot integrated into an editor like Cursorbut rather a terminal tool that reads entire code bases, schedules multi-step tasks, and executes them with full access to the developer’s computer. You can start from spreadsheets, entire repositories, or web links, understand context, verify details, and complete complex objectives iteratively. The interesting thing is that, by default, Claude Code includes a co-authorship note if the user has used this tool in their program and uploads it to Github. But the user can also decide not to include that signature if modify the parameters by Claude Code, so that 4% could remain small. In March of last year, a month after its launch in private beta, Claude Code already had the co-authorship of about 15,000 Github commits in a period of 48 hours. Things have ended up escalating quickly. Opinions. The newsletter stands out the comments of some industry professionals regarding the vibe codding. Andrej Karpathy, one of the first to coin the term vibe codding, recognized in a post that he is “starting to lose the ability to write code manually.” Ryan Dahl, creator of Node.js, counted directly that “the era of humans writing code is over.” Boris Cherny, creator of Claude Code, assures that “practically 100% of our code is written by Claude Code + Opus 4.5“. Even Linus Torvalds, creator of Linux, has fooled around with vibe codding for some of his personal projects. It should be noted that, despite all the benefits of Claude Code, it is not perfect. Already we pointed out some time ago the words of Kelsey PiperAmerican journalist for The Argument, who explained that 99% of the time using Claude Code is like having a magical, tireless genie, but 1% of the time it’s like yelling at a pet for peeing on the couch. He can and does make mistakes. It also gets stuck. Hence, the expertise of the person who uses it also plays a very important role. Beyond programming. There is an increasingly latent threat with the use of AI tools (well there are a few that accumulate already). And according to account SemiAnalysis, any information work that follows the READ-THINK-WRITE-CHECK pattern can be automated with this technology. The report mentions sectors such as financial services, legal, consulting and data analysis, which add up to billions of workers globally. Anthropic has already taken the next step with coworkreleased a few weeks ago, which is basically Claude Code applied to general office work. According to the company itself, Cowork was developed by four engineers in ten days, mostly with code generated by Claude Code himself. The tool can create spreadsheets from receipts, organize files by content, write reports from scattered notes… And all with access to your computer. The big consultancies and AI. In December, Accenture signed an agreement to train 30,000 professionals on Claude, the largest deployment of Claude Code to date. OpenAI, for its part, Frontier has launched focused on business adoption so as not to lose steam in the field of corporate use of AI, a business that can end up being very lucrative for startups. Cover image | Anthropic and Mohammad Rahmani In Xataka | Programming is the new board of AI. OpenAI and Anthropic have made it clear with GPT-5.3-Codex and Claude Opus 4.6

Github is vital for millions of users. That is why it has become the perfect place to hide malware

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When a tool is so useful that no one dares to block it, it becomes a magnet for attackers. That is what is happening with GITHUB: public repositories, camouflaged archives and malicious loads that go unnoticed in corporate environments. Cisco Talos has uncovered a campaign that demonstrates it. The campaign, active since February 2025, was not an isolated experiment. It was a well structured operation based on the malware-as-a-service model (MaaS), in which attack tools are sold as if they were cloud services. In this case, the operators used Github to distribute malware through seemingly harmless links. When the malicious code hides in full view “In many environments, a malicious download from Github may seem Normal traffic”, Talos researchers explain. And there is the problem: the actors behind this campaign knew how to move between the legitimate and the harmful without raising suspicions, using the platform owned by Microsoft as an undercover distribution channel. The process began with Emmenhtal, a Loader designed to act by layers. Three of them were exclusively responsible for hiding the code. Only at the end of the process a script was executed in Powershell that contacted a remote address to download the real payload. That payload was Amadeya malware known since 2018 in Russian speaking forums. Its main function is to collect information from the infected system and Download additional files depending on the profile of the equipment. The most striking thing is that these files did not One of the most active accounts was legendary99999. In it, more than 160 repositories with random names were detected, each hosting a single malicious file in its release section. From there, the attackers could send direct links to the victims, as if it were any other legitimate download. Legendary 99999999999999 Settle Legendary9999 was not an isolated case. Talos identified other accounts, such as Milidmdds or DFFE9EWF, which followed a similar pattern: random names, repositories with harmless appearance, but designed to execute malicious loads. In total, malware samples such as Rhadamanthys, Lumma, Redline or even legitimate tools such as Putty and Selenium Webdriver were detected. The operation was always the same: once the equipment was infected, Amadey downloaded the necessary file from Github, according to the needs of each operator. The most striking is the flexibility of the operation: from remote access Trojans such as Asyncrat, to scripts disguised as MP4 files or even python code with hidden functions. Github acted quickly. As soon as Talos notified the findings, LThe accounts were eliminated. But the problem does not seem to be the platform yes, but the strategy behind its use: take advantage of legitimate and necessary services to hide malicious activities. Images | Xataka with Gemini 2.5 Flash | Talos In Xataka | The “Son in Hurry” scam had been wreaking havoc throughout Spain for years. Police are finally dismantling it

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