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AI-Assisted Coding: What Software Developers Need to Know
Should developers use AI to generate code? While there’s no clear answer, this guide breaks down the pros and cons – and potential impact – of AI-assisted coding in today's development environment.
1 Min Read
Alamy
There's a shortage of software developers, and that isn't going to change anytime soon. With the U.S. Bureau of Labor Statistics expecting that more than 165,000 software developer jobs will need to be filled each year through the end of the decade, developers now have more options. But the lack of talent is also putting more strain on them, with their increasing and more complex workloads often leading to burnout — a 2021 Haystack Analytics study found that a whopping 83% of developers suffer from burnout.
But help may be here in the form of AI-assisted coding — the use of machine learning models to generate code automatically.
Developers are already turning to AI-assisted coding, thanks in large part to the launch of Microsoft's GitHub Copilot AI-assisted development tool and AWS' Amazon CodeWhisperer.
In this special report, AI-Assisted Coding: What Software Developers Need to Know, we break down:
What AI-assisted coding is and its potential in today's development environment
The benefits and drawbacks for developers
How two major AI-powered code generation tools – GitHub Copilot and Amazon CodeWhisperer – compare
Four areas where AI-assisted code generation tools and platforms can help ITOps engineers
The potential licensing implications of AI-assisted coding
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