Whatever area of tech you work in, innovation and evolution are integral parts of the industry.
Developers in particular are best positioned when they constantly adapt and improve their fluency in multiple programming languages, especially if they want to boost their desirability when it comes togetting hired.
But how can developers feasibly learn so many languages fluently?
Practice makes perfect is the traditional and more arduous option, but increasingly developers are turning to AI tools such as Copilot, an autocomplete for computer code created by Github that uses OpenAI’s largest and latest language models, GPT 3.5 and GPT 4.
In fact, research conducted by Github found that Copilot could improve perceived productivity by 88%, make coding less frustrating (59%), and allow 74% of developers to focus on more satisfying elements of the job.
The technology also increased efficiency: 88% said they experienced faster completion, 96% were faster with repetitive tasks, and 87% reported that using Copilot facilitated using less mental effort on repetitive tasks.
Learning curve
AI as a coworker isn’t a new concept — but could AI tools ever replace developers entirely?
Speaking at the recentWorld Government Summit in Dubai, Nvidia’s CEO Jensen Huang voiced his belief that learning programming languages won’t be as important in the future.
“It is our job to create computing technology such that nobody has to program, and that the programming language is human, everybody in the world is now a programmer,” he said. “For the very first time you can imagine everybody in your company being a technologist.”
The idea of this equitable playing field might seem like a utopian …
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Developers in particular are best positioned when they constantly adapt and improve their fluency in multiple programming languages, especially if they want to boost their desirability when it comes togetting hired.
But how can developers feasibly learn so many languages fluently?
Practice makes perfect is the traditional and more arduous option, but increasingly developers are turning to AI tools such as Copilot, an autocomplete for computer code created by Github that uses OpenAI’s largest and latest language models, GPT 3.5 and GPT 4.
In fact, research conducted by Github found that Copilot could improve perceived productivity by 88%, make coding less frustrating (59%), and allow 74% of developers to focus on more satisfying elements of the job.
The technology also increased efficiency: 88% said they experienced faster completion, 96% were faster with repetitive tasks, and 87% reported that using Copilot facilitated using less mental effort on repetitive tasks.
Learning curve
AI as a coworker isn’t a new concept — but could AI tools ever replace developers entirely?
Speaking at the recentWorld Government Summit in Dubai, Nvidia’s CEO Jensen Huang voiced his belief that learning programming languages won’t be as important in the future.
“It is our job to create computing technology such that nobody has to program, and that the programming language is human, everybody in the world is now a programmer,” he said. “For the very first time you can imagine everybody in your company being a technologist.”
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