Artificial intelligence is radically transforming the tech industry, and Anthropic has just revealed one of the most compelling examples of that revolution The American company confirmed that its model Claude wrote more than 90% of the contributions incorporated into its code during September 2026, a figure that demonstrates how much these tools have begun to replace programming tasks that previously depended directly on engineers
The data was shared by the company led by Dario Amodei in an update to the S-1/A form submitted to the U.S. Securities and Exchange Commission (SEC) as part of preparations for its IPO
The productivity of its engineering teams also experienced extraordinary growth According to Anthropic, the average daily volume of code incorporated per engineer during the three months ending September 30, 2026, was more than 45 times higher than the corresponding daily average for 2024
The phenomenon represents a significant advance for software development, but it also raises questions about the limits of a technology that is already directly involved in creating its own future versions
Claude already writes more than 90% of Anthropic's code
The results shared by the company show a profound change in the way its engineers develop tech products
Claude has evolved from functioning as an assistant capable of suggesting code snippets to becoming a tool that writes, executes, and reviews programs, and can work for extended periods on complex tasks
This evolution has allowed Anthropic professionals to focus more on directing and supervising the work generated by artificial intelligence, rather than manually writing each line of code
According to official data, more than 90% of the contributions incorporated into the company's codebase during September were written by Claude
The growth is also reflected in the system's performance against complex engineering problems that are open and without fully defined specifications
Anthropic reported that Claude achieved a success rate close to 90% on these tasks during September, according to its internal assessments, after improving by approximately 50 percentage points in nine months
However, the company clarified that the fact that Claude generates most of the code does not mean that it designs future generations of artificial intelligence completely autonomously
For now, research and development of new models continue under human guidance
Anthropic warns about the risks of artificial intelligence accelerating its own development
The technological advance also raises concerns within the company
In its presentation to the SEC, Anthropic acknowledged that using artificial intelligence to develop increasingly powerful artificial intelligence systems could pose a considerable risk to safety
The concern relates to the possibility that the pace of technological advancements could accelerate sharply, surpassing researchers' ability to adequately understand and supervise the new systems
This phenomenon is linked to the concept of recursive self-improvement, a process by which an artificial intelligence contributes to the development of progressively more advanced versions of itself
The company uses the expression closing the loop to describe how the capabilities of one generation of models can accelerate the construction of the next
In this context, Anthropic recognizes that the speed of technological progress could become a challenge for the very control and oversight mechanisms
The company acknowledges that it still needs to maintain human control
One of the most relevant aspects of the document presented by Anthropic is the acknowledgment of the current limits of technological oversight
The company states that it does not foresee being able to use Claude safely to design and build successive generations of cutting-edge artificial intelligence models without significant human intervention, even if that possibility were to become technically feasible
For this reason, Anthropic is studying modifications to its Responsible Scaling Policy to ensure that people continue to control the development of the most advanced systems
The company also warns that there are difficulties in measuring the actual speed of progress
The indicators used to assess the capabilities of its models may provide delayed information, meaning that a significant acceleration could only be identified after it has occurred
In fact, Anthropic acknowledged that its estimates about future generations of models indicate that the threshold defined in its policy as drastically accelerated progress by artificial intelligence could soon be reached
However, the company clarified that none of its current models have been classified as exceeding that threshold












