Leveraging Artificial Intelligence in Software Development

Artificial Intelligence (AI) offers diverse applications in software development that will drastically change how firms develop software. It can:

  • Support developers by accelerating coding tasks, leading to faster and higher-quality code.
  • Document existing codes that have no documentation.
  • Help developers to appropriate codes that are not theirs.
  • Debug codes.
  • Accelerate or even automate the migration of legacy stacks to more modern technologies.

Within the next 6 to 18 months, most software development tools will integrate some artificial intelligence to support developers. On the one hand, there are traditional players like Microsoft with its Copilot. But competition is building up with solutions from Tabnine, Codeium, and CodeComplete, to name a few. And you can expect all products for data science like Databricks, Hex, and data iku to integrate some "copilot" to support users and developers.

There are big questions on the intellectual property of the code generated by artificial intelligence, and the code firms share with these solutions. Everybody knows the horror story of Samsung using ChatGPT to debug some proprietary and confidential code. ChatGPT eagerly consumed the data, using it as training material for future public responses.

The rise of artificial intelligence will not render developers obsolete. Instead, it offers a unique chance to establish a harmonious collaboration between humans and computers. Developers should see Artificial Intelligence as a new colleague with superpowers. By delegating repetitive and mundane tasks to AI, developers can devote more time to creative problem-solving and embark on a journey of enhanced productivity and innovation.

Another interesting topic, not linked to artificial intelligence, is how financial institutions recruit and deploy developers. The traditional way has been to hire and locate them in internal facilities. But the war for talent has made it very difficult to hire outstanding developers, not to mention that they often don't want to be employees or don't want to be in a specific location. They want more freedom. An ecosystem of secure software development solutions is becoming available in the public cloud and from specialized providers like @StrongNewtork (www.strong.network)— time for financial institutions to start looking into this.

#artificialintelligence #AI

Christophe Nicolas

Group Chief Information Officer (Group CIO) at Kudelski Group

1 年

It is a tremendous chance, challenge and opportunity for the development community to address this. As mentioned, the intellectual property will have to adapt and take this into consideration, and the change dimension should not be under-estimated (developers love their ecosystem, and the change should be done with them). Exciting time in front of us for sure, and being a trusted partner will make even more sense in that new realm.

回复

要查看或添加评论,请登录

Stephane Rey的更多文章

  • The week on AI – December 29, 2024

    The week on AI – December 29, 2024

    The opinions are only mine. OpenAI releases a new model: o3, and o3 mini OpenAI’s new model o3, which will be tested…

    1 条评论
  • The week on AI – December 22, 2024

    The week on AI – December 22, 2024

    The opinions are only mine. Can Nvidia sustain its meteoric rise? The new Nvidia Blackwell chip appears to be…

  • The week on AI – November 17, 2024

    The week on AI – November 17, 2024

    The same content is also available at stephtechblog.com Are LLM reaching a plateau? The reasoning capabilities of LLMs…

  • The week on AI – November 10, 2024

    The week on AI – November 10, 2024

    It's too soon to call the hype on Artificial Intelligence Predicting the future of technology has always been a…

    1 条评论
  • The week on AI – November 3,?2024

    The week on AI – November 3,?2024

    Cerebras continues to break records Cerebras continues to set new benchmarks and lead the field in AI performance…

    1 条评论
  • The week on AI – October 27, 2024

    The week on AI – October 27, 2024

    Perplexity AI search start-up targets USD 8bn valuation Perplexity AI is an AI-powered search engine that leverages…

    1 条评论
  • Generative AI to unleash developers' productivity

    Generative AI to unleash developers' productivity

    Mid-June, I wrote about "Leveraging Artificial Intelligence in Software Development." McKinsey & Company just published…

    1 条评论
  • Enterprise Data Paradigm Shift for Financial Institutions

    Enterprise Data Paradigm Shift for Financial Institutions

    This article has been co-written with Rémi Sabonnadiere (generative AI strategist - CEO @ Effixis) and Arash…

    1 条评论
  • Time for an Enterprise data paradigm shift

    Time for an Enterprise data paradigm shift

    Looking back at the significant data trends over the last 20 years, we have moved from relational databases to data…

    2 条评论
  • Back to building monolith applications?

    Back to building monolith applications?

    Most experienced engineers would likely recommend implementing microservices, APIs, and serverless architectures in the…

    3 条评论

社区洞察

其他会员也浏览了