Dorsey’s Block says new AI tool handles 15% of code work

The latest development in the burgeoning world of artificial intelligence (AI) is being showcased by none other than Jack Dorsey’s financial services firm, Block. The company has unveiled a new AI-native tool called Builderbot, which has already begun to make waves by taking over around 15% of all production code changes across the company.

But what exactly does this mean? Simply put, it means that AI is becoming increasingly integral to software development, not just in terms of coding but also in execution and deployment. According to Brad Axen, Block’s head of AI capabilities, Builderbot fills a critical gap between traditional AI coding tools and the actual engineering process at scale.

In other words, Builderbot acts as an orchestration layer that brings together multiple AI agents across Block’s entire codebase. Unlike typical coding assistants that are limited to a specific repository or service, Builderbot understands every aspect of the company’s systems, including services, APIs, and conventions. This means that any engineer can make changes anywhere in the system without prior knowledge of how it works.

One of the most significant implications of this is that production can be scaled up significantly, as builders spend less time writing code and more on high-level decision-making. Axen puts it this way: “It means an idea can go from backlog to live in front of millions of customers in days instead of months.”

But how does Builderbot work its magic? According to Block, the tool executes around 200,000 operations per day and merges approximately 1,500 pull requests per week. To put this into perspective, it would take a human developer several weeks or even months to complete such tasks.

In fact, the numbers make it clear that autonomous AI agents are now capable of executing a measurable share of actual work that ships to production. Block’s decision to lay off 40% of its staff in February, which was largely attributed to the rapid acceleration of AI at the company, also takes on new meaning.

And here’s the thing: Builderbot is not an isolated experiment. Several prominent tech firms have already started leveraging AI agents for software development. For instance, Spotify has used a background coding agent called Honk, which runs a version of Claude via Anthropic’s Agent SDK, while Google reports that three-quarters of its new code is AI-generated.

Meanwhile, Microsoft CEO Satya Nadella revealed last year that the company uses AI to write between 20% and 30% of the code powering its software. The trend is clear: autonomous AI agents are increasingly becoming the norm in software development, changing the way engineers work at scale.

The emergence of AI-native tools like Builderbot also raises new questions about what it means to be a developer and whether coding will eventually become an entirely automated process. While some have expressed concerns about the loss of human touch in programming, others see this as a natural progression – after all, what’s wrong with letting machines handle the grunt work?

One thing is certain: the world of software development has reached a critical turning point. As more companies begin to rely on AI agents for production code changes, it will be fascinating to see how development teams adapt and evolve.

Why it matters:

The news that Block’s new AI tool, Builderbot, is handling 15% of all production code changes highlights the growing importance of artificial intelligence in software development. As companies begin to rely more on autonomous AI agents for their production workloads, the impact will be felt across various sectors and industries.

This shift could lead to increased efficiency, productivity, and scalability for developers but also raises concerns about human involvement in coding and decision-making. The emergence of AI-native tools like Builderbot marks a significant milestone in this evolving landscape – and it’s unclear what lies ahead for the programmers of tomorrow.

Source: Cointelegraph