Coinbase says between 95% and 100% of its code is now written by or with large language models (LLMs), highlighting the growing role of AI in software development.
Key Takeaways
- Coinbase says 95%–100% of its code is now written by or with AI.
- The figure was shared by Coinbase Head of Platform Rob Witoff.
- AI-assisted coding has increased significantly from about 40% in February.
- The company continues integrating large language models (LLMs) into its engineering workflow.
- The announcement reflects the growing adoption of AI across the software industry.
Coinbase Says Nearly All of Its Code Is Now Written With AI Assistance
Cryptocurrency exchange Coinbase has revealed that artificial intelligence is playing a central role in its software development process. According to Rob Witoff, Coinbase’s Head of Platform, between 95% and 100% of the company’s code is now written by or with the assistance of large language models (LLMs).
The update marks a significant increase from approximately 40% in February, highlighting how quickly AI has become integrated into Coinbase’s engineering operations.
AI Adoption Accelerates at Coinbase
Large language models are increasingly being used by software developers to write code, identify bugs, generate documentation, and automate repetitive programming tasks.
According to Witoff, AI-assisted coding has rapidly expanded within Coinbase over the past several months. Rather than replacing engineers, these tools help developers work faster by generating code suggestions, simplifying debugging, and improving productivity.
The latest figures suggest AI has become a core component of the company’s software development workflow.
Why the Shift Matters
Coinbase is one of the world’s largest cryptocurrency exchanges, serving millions of users globally. Its embrace of AI reflects a broader trend across the technology industry, where companies are investing heavily in generative AI tools to accelerate product development.
By allowing engineers to focus more on architecture, security, and product innovation, AI-assisted coding may reduce development time while increasing operational efficiency.
The announcement also demonstrates how quickly AI technologies are reshaping software engineering practices within major technology companies.
AI Is Changing Software Development
The use of coding assistants powered by large language models has grown rapidly since the introduction of modern generative AI systems. Developers increasingly rely on these tools to generate boilerplate code, explain complex functions, review pull requests, and improve overall code quality.
Many technology companies have reported measurable productivity gains after integrating AI into their engineering teams, although human oversight remains essential to review, test, and secure AI-generated code before deployment.
Industry Impact
Coinbase’s latest comments could encourage more technology and financial companies to expand their own use of AI-assisted software development.
While AI can significantly improve developer productivity, experts continue emphasizing the importance of human review, particularly for security-sensitive applications such as cryptocurrency exchanges and financial platforms.
As AI capabilities continue advancing, software development is expected to become increasingly collaborative between engineers and intelligent coding systems.
