Low/No Code Solutions for AI

 

With many big players in cloud platforms such as Microsoft, Google, Amazon, and others jumping into the AI (Artificial Intelligence) bandwagon to develop low/no code, what are the benefits and drawbacks of such a solution for highly developed and complicated?  The problems are huge and investments in capital and manpower are needed to solve AI issues.  As a result, many cloud-based platforms are trying to come up with low/no code solutions to develop and implement AI.

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Benefits and/or Drawbacks AI-powered Code Assistant Such As GitHub Copilot

During the 2022 Microsoft Build, Microsoft CEO Satya Nadella gave opening keynotes with many different technology topics, and what Microsoft’s roadmap will be. One of the latest topics to get the spotlight was the new framework called GitHub Copilot – an AI (Artificial Intelligence) powered coding assistant. It uses context from the current code to complete lines you’ve started, or even suggest an entirely new line of code. It’s incredibly powerful. 35% of newly written code being suggested by copilot in popular languages like Java and Python.

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