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GitHub fortifies itself for the agent era: what does it mean for your SME?

GitHub reinforces its infrastructure with 4 million cores and 160 PB to support AI agents. We analyze what this means for SMEs and IT teams.

5 min read

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GitHub has held its annual Universe '26 conference in San Francisco and has taken the opportunity to send a message of stability and evolution. The code platform has announced a significant investment in its infrastructure: the addition of 4 million cores and 160 petabytes of storage, along with a complete rearchitecture of its backend. This move is not coincidental: it responds to the need to adapt to a development landscape that is being transformed by AI agents.

The news comes at a time of competitive fervor. Thomas Dohmke, former CEO of GitHub, recently launched Entire, a startup positioned as an alternative to GitHub and backed by M12, Microsoft's investment arm. At the press conference after the keynote, Kyle Daigle, COO of GitHub, downplayed this competition: "I don't think the world needs a new GitHub," he stated, although he acknowledged that developers may need different tools. For Daigle, what they really need is for GitHub to evolve for the agent era, and that is precisely what they are doing.

Illustrative detail: “I don’t think the world needs a new GitHub”: What GitHub’s leaders really think about their new rivals

GitHub's stance is supported by its scale: more than 225 million developers and a presence that spans from open source projects to large Fortune 100 companies. Daigle argues that the debate about new Git providers focuses too much on the enterprise sphere and loses sight of the complete problem. "We have never been the only Git host," he recalled, noting that options like Perforce have been on the market for years. What differentiates GitHub, according to him, is hosting all developers together at scale, rather than focusing only on enterprises or only on open source.

Dohmke's response was not long in coming: "GitHub may think that a new GitHub is not needed, but developers clearly do need it. Do we really want to put the future of software development and open source in the hands of a single big tech company?" he told The New Stack. His proposal, Entire, is presented as an open, scalable, and distributed home across multiple regions for the community.

Platform versus product: the key to GitHub's approach

Jay Parikh, executive vice president of CoreAI at Microsoft and now at the helm of GitHub, wanted to distance what he considers a platform from what are individual products. "GitHub and Microsoft have always been platform companies," he stated. For Parikh, the key is to offer a complete development flow but allow developers to choose which pieces they use. In Daigle's words: "We give you the complete flow, or we give you the primitives, which is what most companies want. Everyone is interested in what the one way to do this is, but nobody wants to buy the one way. They want to have optionality and choice."

This approach of an open but cohesive platform is relevant for SMEs and IT teams seeking a balance between integration and flexibility. The ability to choose components without being trapped in a closed ecosystem is a growing value, especially when AI agents are incorporated into the software lifecycle.

AI agents change the rules of the game

One of the most interesting aspects of the appearance was the admission that AI agents are causing failures in unexpected places. "The places that have failed are not the ones we would have historically expected, because agents act very differently from a human being," Daigle explained. Some services that scaled perfectly and were considered production-ready have shown problems when agents interact with them. This reality has forced GitHub to rethink its assumptions about which parts of its infrastructure are most vulnerable.

For an SME, this is a warning sign: the adoption of AI agents in development or in system operation can expose weaknesses in services that previously worked without problems. It is not just about integrating AI, but about reviewing how our tools and platforms behave when used by autonomous agents.

What we recommend from ForgeNEX

Given this panorama, at ForgeNEX we propose several lines of action for IT teams and SMEs:

  • Evaluate your dependence on GitHub: if your code and workflows are fully coupled to GitHub, it is time to review whether you need backup mechanisms or alternatives for critical parts. It is not about migrating, but about having a plan B.
  • Test your services with agents: if you are incorporating AI agents into your development or processes, perform specific tests to detect anomalous behaviors in services you previously considered stable. Agent interaction can be very different from human interaction.
  • Take advantage of optionality: GitHub insists that it will offer both the complete flow and the primitives. If you are an SME, assess which parts of the platform you really need and whether you can combine them with other specialized tools. Do not close yourself off to a single provider.
  • Stay informed about Entire and other alternatives: although GitHub is dominant, competition can bring innovation and better conditions. Follow the evolution of Entire and other Git forges, especially if you are looking for regional deployment options or greater control over your code.
  • Review the security of your supply chain: as we already discussed in our article on GitHub's npm firewall, the security of packages and dependencies is crucial. With AI agents, risks can multiply if access and automatic actions are not controlled.

GitHub's rearchitecture is not just a matter of capacity, but of adaptation to a world where AI agents will be increasingly common in software development. For SMEs, the key is not to fall behind but also not to jump in without a net. The platform evolves, and we must evolve with it, keeping our eyes on security, flexibility, and efficiency.

Source: The New Stack. Analysis and adaptation: ForgeNEX.

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