AI software development raises trust and quality concerns

AI is increasingly taking over software development tasks, with AI agents now capable of autonomously performing many programming functions. This shift addresses the shortage of human developers but raises concerns about code quality and biases. To mitigate risks, researchers are testing large language models (LLMs) that power these AI agents. They aim to ensure ethical behavior by evaluating LLMs for accuracy, security, and bias before use in software development. A new approach called low-code or no-code development allows users to create software from easy-to-understand blueprints. This method empowers non-programmers to build applications while maintaining oversight to prevent potential issues with AI-generated code.