Brazil reaches 10.2 million devs on GitHub and becomes the world's 4th largest market

The Octoverse 2026 report, presented at the GitHub Universe conference in San Francisco, confirms Brazil as the world's 4th largest developer community, growing faster than almost anywhere else. The shift comes as AI agents already write the first draft of more than 40% of the code approved on the platform.

The Octoverse 2026 report, presented at the GitHub Universe conference in San Francisco, confirms Brazil as the world's 4th largest developer community, growing faster than almost anywhere else. The shift comes as AI agents already write the first draft of more than 40% of the code approved on the platform.

Brazil became the world's 4th largest developer market

Brazil reached 10.2 million developers registered on GitHub in September 2026, according to the Octoverse 2026 report, released during GitHub Universe, the company's annual conference in San Francisco. It is the fourth largest community on the planet, behind only the United States (38.3 million), India (32 million) and China (12.4 million).

The most relevant thing for those leading technology companies is not the ranking, it's the pace. In twelve months the country added 3.28 million new users, the third largest absolute growth in the world, behind only the US and India, according to a UOL report. Brazil also ranks fourth in contributions to public repositories (the "pushes"), in the same order: US, India, China, Brazil.

Right behind Brazil in the overall ranking come Japan (7.15 million), the United Kingdom (6.47 million), Indonesia (6.34 million) and Germany (6.30 million). GitHub projects that Brazil will surpass China by 2030, pointing to the maturing of fintechs as the driver of this advance, according to UOL.

The driver is digital money, but the side effect matters more to those hiring

The report points to fintechs as the main driver of Brazilian growth in the Americas. This is no surprise to those who follow the sector: digital banks, payment methods and financial infrastructure have formed, over the last decade, much of the demand for cutting-edge software engineering in the country.

What this signals to those founding or leading technology companies outside the financial sector is something else. A developer ecosystem that grows driven by fintechs produces a specific type of talent: people used to critical systems, heavy compliance and transactional scale. Companies in other sectors competing for these professionals (retail, health, logistics) will feel the salary pressure before feeling the benefit of a larger supply.

There is also a talent arbitrage reading that the report doesn't make, but the numbers support. With 10.2 million developers and still growing faster than almost anywhere else, Brazil becomes a natural target for remote hiring by American and European companies. This is an opportunity for those selling staffing and nearshoring services, and direct competition for those trying to retain a team here paying in reais.

The fine print: much of the "new code" no longer comes from a human

The data point that changes the reading of "10.2 million devs" as a workforce is another one: in September, more than 40% of code changes actually approved and merged into a project (merged pull requests) on the platform started as a draft generated by an AI agent, equivalent to 110 million requests in a single month, according to UOL.

This doesn't mean that 40% of the final code went out without human review. It means the starting point of the work changed: the developer stopped writing the first version to instead review, adjust and approve what the machine wrote first. For those hiring, this should already be weighing on the job profile: less junior "typist", more reviewer capable of catching a subtle error from an agent.

The effect even shows up in the language ranking. TypeScript gained 3.62 million monthly contributors in one year, the platform's largest absolute jump, and Rust doubled in size. According to GitHub, the explanation has less to do with human preference and more with convenience for machines: in TypeScript, Python and Rust, AI appears in 40% to 44% of merged pull requests, against 21% to 34% in Java, C# and C++, because it's easier to automatically check what the assistant produced.

The practical reflection: 35% of repositories created in 2026 using TypeScript already involve AI in the process, against 24% of those that don't use the technology. Anyone deciding on a stack today, thinking about hiring and maintaining the code three years from now, cannot ignore this bias.

GitHub changes the math: Enterprise now pays for AI usage

During GitHub Universe 2026, according to a UOL report, the company announced a battery of features for Copilot: the GitHub Copilot app, which the report describes as a way to centralize tracking of agents and tools; Copilot Fusion, which, still according to UOL, would automatically choose the most suitable AI model for each task, a launch that would track user behavior (61% of Copilot users already switch between more than one model in the same session, according to the same report); Copilot Projects, presented as a tool for coordinating work across multiple repositories at the same time; and Copilot Code Review Max, aimed, according to the report, at deeper reviews. None of these features was confirmed in official GitHub documentation among the sources consulted for this story.

The change that directly affects the budget of those leading a company is another one: according to the same UOL report, GitHub Enterprise customers would start accessing the new features without a separate subscription, paying for the AI credits consumed. In practice, the bill would start tracking the volume of work agents do, no longer a fixed amount per license. Here too, this is information reported by UOL about the announcement made at the event, without confirmation in official GitHub documentation among the available sources.

To support this demand, GitHub says it added 4 million processing cores this year, 160 petabytes of high-speed storage and 50 terabits per second of network capacity, migrating to a distributed architecture across multiple Azure cloud regions, with completion expected in early 2027. It's an infrastructure scale that only makes sense if the company expects AI consumption per line of code to keep rising, not leveling off.

What the report doesn't answer

Octoverse 2026 doesn't detail how many of these 10.2 million Brazilian users are monthly active accounts, nor how many correspond to formal technology jobs in the country: a GitHub account is not synonymous with an employed developer. Nor is there, among the available sources, an estimate of how much it will actually cost to migrate a Brazilian company from a fixed subscription to AI-credit billing on Enterprise.

The projection that Brazil will surpass China in number of users by 2030 comes from GitHub itself, which has an interest in showing the platform's growth; it's worth treating it as an interested party's expectation, not as an accomplished fact. What is already established, and documented, is that the country is gaining developers faster than almost anywhere else in the world, at the same moment that the definition of "writing code" has stopped being purely a human affair.