Microsoft Manager Explains How Artificial Intelligence Is Changing His Business.

• 37 year old manager Microsoft He says artificial intelligence is changing the workflow.
• He says AI has reduced the time he spends coding by 70% and has also reduced the time he spends reading and meetings.
• But he also says that given the rush to scale AI, the time saved is spent on faster deadlines and delivery updates.

This article as described is based on a conversation with a 37-year-old. Naga Santhosh Reddy Vootukuriis a senior software engineer manager at Microsoft, which has invested heavily in artificial intelligence. This article has been edited for length and clarity. Business Insider verified his identity, employment and salary rates.

When ChatGPT When it was launched in November 2022, the whole world was in shock. As a developer, I loved it.

I have worked at Microsoft for close to 14 years and have been a manager for over a decade. Before ChatGPT came out, I’d say 80% of my daily job was spent coding and 20% was looking at documentation, writing, brainstorming with my team, and helping junior engineers with various tasks.

In partnership with OpenAI and MicrosoftWe have all the tools we need directly from OpenAI, and it’s tightly integrated with Word, Outlook, PowerPoint, and Visual Studio, which are the bread and butter of what developers use to write code in different languages.

Here’s how artificial intelligence changed my business.

Reduced the time I spent coding by 70%

As a developer, AI has significantly increased my efficiency and accuracy.

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My responsibility as a manager is to review my team’s code and make sure it is 100% quality efficient so I can merge it into main production before publishing and distributing it.

I would have to manually look at each line change. However, with integration with artificial intelligence, I can say this: 70% of my time is reduced. The AI ​​tool integrates my past comment history to provide me with code comments and suggestions.

AI also saves me time in meetings. It used to be very difficult for me. I accepted most of the meetings, but then I told people I couldn’t attend unless they asked me questions directly. I would ask them to record the meeting and share it with me so I could watch it later.

But with the AI, I get an automatic text of the summary of what was discussed. It also breaks down the tasks or action items I need to do.

None of the tools are 100% accurate, but I would say they are 95% to 96% completely accurate and are constantly improving.

AI also saves me time when it comes to reading. If a group is releasing a new feature, I need to review every design document and give as much feedback as possible. There may be 10 to 15 long design documents and they contain all the fine details.

With Copilot integrated into Word, a banner appears at the top of the documents and I get a full summary. I no longer have to spend X hours reading the entire document. If you’re added to a large email thread and don’t have context, you can use a similar tool within the email.

I still have a full workload

While AI can certainly help bypass mundane tasks, that’s not exactly what my team focuses on. Whenever I come back from using AI, I use it for something else.

In my role, I talk to many customers about product launches, and they always come back and ask for more features. Then I have to sit down with my team and come up with a release strategy. Artificial intelligence cannot be used in these situations. Once developers start writing code for these projects and start doing the actual work, this is where we leverage AI.

At Microsoft we follow a management framework called the Scrum model, which means we release in sprints. We aim and try to finish some work issues every two weeks. Previously, it could take two or three years for Microsoft to deliver major releases. However, with the current model, Teams release updates monthly, sometimes even weekly.

We live in a competitive world. If Google publishes something, Microsoft needs to oppose it It has another great feature. That’s why developers use AI as much as they can to reduce their time, but use the saved time for other tasks or other features.

If you work in a product-focused company in the software industry, you can’t just sit back and relax, even if you’re turning back the clock.