Google has taken a big step to formally prepare how his software engineers use artificial intelligence at work. In an internal email sent earlier this week, the company shared detailed guidelines on how employees should adopt AI equipment to promote productivity. This step has recently surfaced as Google’s CEO Sundar Pichai that more than 30 percent of all the codes written in the company are now AI-Janit-a few months ago a faster increase by 25 percent. Last month, the CEO of Google also said that AI Tools have helped their engineers to be 10 percent more productive.

Guidance is described by 9to5google As the most formal communication ever on this subject, the outline of the best practices for using AI in day-day coding prepares. Manufactured by engineers in Google, the playbook shows that it has worked internally well and its purpose is to help the teams work more efficiently in the organization.

A Google spokesperson said, “We want each engineer to use AI fast and make better construction.” “These recommendations and best practices developed by a group of software engineers in Google are designed to help all SWES (software engineers) in the company, which take the most benefits of AI in their day-day work.”

Google’s internal equipment such as “goose”, who are trained in years of technical data, are already helping engineers in writing code, fixing bugs and handling regular development works. Externally, Google has rolled out devices such as Gemini Code Assist, Gemini CLI and Gemini at Android Studio. But internal, the company is now doubled on the hope that everyone should embrace these devices.

The new guidance focuses not only on AI-operated coding, but also helps engineers understand the boundaries of today’s models. Managers and tech leads are being encouraged to integrate AI practices in their team workflows. While the code is rapid AI-generated, human monitoring is necessary. The guidance also emphasizes maintaining rigorous code reviews, testing and safety standards with AI in the loop.

Pichai has said that AI tools have already improved engineering productivity by about 10 percent. In a podcast with researcher Lakes Fridman, he explained how Google saved time through AI and reinstated it in more valuable work. He called AI a “accelerator”. He says that it is a tool to free engineers from repetitive tasks so that they can focus on creative problems.

Nevertheless, comprehensive industry wrestling is how to use AI internally. For example, Microsoft is allegedly planning to evaluate employees, based on how they use AI tools such as Github Copilot. As Commercial insiderMicrosoft has directed team managers to include AI use in performance reviews. Julia Lucon, president of Microsoft Developer Division, wrote in an internal email: “AI is now a fundamental part of how we work. It is no longer optional – it is original for every role and every level.”

This step follows the concerns inside the microsoft that the expectations of Copilot’s internal adoption have not been met. To replace this, the company wants the use of AI to become regular as cooperation or communication, especially between teams that produce AI products.

Even Mark Zuckerberg of Meta has said that AI may soon handle 100 percent of its company’s developer’s work, showing how the central AI has become for software development in the technical world. Meta also announced the meta superintendent laboratories on Monday, which aims to develop artificial general intelligence.

Nevertheless, Pichai has tried to balance. He says that Google will continue to hire engineers and sees AI as a tool that is supplemented, not replacement, human talent. But he also acknowledged a comprehensive debate about the displacement of the job. Citing comments from Anthropic CEO Dario Amodi, who predicted that AI could change half the white-collar jobs of the entry level within five years, Pichai said that it is important to openly discuss about the impact on AI’s employment, especially it starts to automatically automatically automatically.