- Google issues a guide developed by the engineer on the use of AI for coding
- Around a third of the company’s code is now generated by AI
- Other companies are also using Ai More to encode
Google has issued a new use orientation and best practices for its internal developers who use a generative AI to help them code, and it may not be a surprise that the technological giant is promoting the security agenda.
After a period of experimenting with AI and determining its use cases, the document was created by engineers (through 9to5google) before being approved and disseminated.
The orientation emphasizes developers to adopt AI to boost productivity, allow faster iteration and improve the development of products, however, the importance of humans in security maintenance is emphasized.
Google shares AI coding guidelines with workers
According to reports, the guide covers the use of AI for coding assistance, its limitations and the construction of AI -based systems. However, Google also pointed out that they want to see workers adopt in other regions of their work to help further boost productivity.
However, humans clearly remain an integral part of the development process, with review of the code, safety and maintenance of all areas that require more work.
“Our engineering teams already regularly use our AI tools to encode, fix errors and much more,” the company confirmed.
“These recommendations and best practices, developed by a group of software engineers in Google, are designed to help all SWES throughout the company to make the most of AI in their daily work.”
The impulse occurs in the midst of Genai’s growing adoption in software engineering. At the beginning of 2025, the CEO of Google, Sussian Pichai, revealed that around a third of the company’s code is now generated by the.
Other companies, including Microsoft and Meta, are also increasing the amount of code generated by the use, and a recent study found that 30.1% of the American Python code in Github was generated with ia.
Google’s most formal orientation on AI in coding to date could also inform policies for other companies. It also highlights the growing dependence of the company in the generative tools of AI.
