Generative AI: a developer's new best friend?

to Big Tech companies, generative AI is going to lead to a sustained boom in productivity, propelling the global economy to new heights.has spawned huge excitement in the technology sector – and across industries. Yet many of the technology’s purported benefits remain unproven and largely untested.

One area that generative AI is promising to revolutionise is software development. Already, tools such as DeepCode AI, Devin and OpenAI Codex – the-inspired code generator which powers Microsoft’s GitHub Copilot and Visual Studio Code – are promising to make the job of coding much easier, with copilots to assist developers every step of the way.

“Our senior developers found it took away a lot of the labour-intensive and repetitive tasks they would usually dread doing. Our juniors also found them to be useful, but they feared they would lose the opportunity to learn the fundamentals that the seniors have mastered over the years.”Nkosi said AI coding tools have proven to be great when developers “know what they are looking for”. But he said they present significant risk in the hands of a novice.

Who AI-generated code belongs to is also open to question. Companies making use of gen AI software often have little insight into where the data the generative model was trained on comes from, which makes assessing the associated IP-related risks difficult.There are lots of assumptions or ambiguities that an industry expert would implicitly understand

“We found that we can develop snippets of code using AI, but for more complex applications you have to be explicit in telling it what you want it to do – and then it becomes questionable whether you are saving time or not. We think that an experienced developer who knows what they are doing can go faster,” said O’Reilly.

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