Demand for QA will soon explode. The flood of AI-generated code will require rigorous testing and validation. And QA is the obvious choice for that. Here's what to expect: 🔵 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗲𝗺𝗽𝗵𝗮𝘀𝗶𝘀 𝗼𝗻 𝗤𝗔 As code creation becomes abundant, ensuring the correctness of behaviour becomes even more crucial. As a result, QA is likely to become a more important aspect of the software development process. 🟣 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗤𝗔 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗲𝘀 QA methodologies will need to adapt to the new landscape created by AI-generated code. This may involve the development of new testing frameworks or strategies designed specifically for AI-generated code. Testing tools will themselves become AI-powered, and oversight of them will need to be incorporated into the QA process. 🟡 𝗦𝗵𝗶𝗳𝘁𝗶𝗻𝗴 𝗤𝗔 𝗿𝗼𝗹𝗲𝘀 𝗮𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 As AI-generated code becomes more prevalent, the role of QA professionals may shift to higher-level responsibilities. Monitoring and validating go-live gating, assessing the reliability and security of AI-generated code, and ensuring compliance. 🟠 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗯𝗹𝘂𝗿𝗿𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 Software development will become less about writing code and more about defining expected behaviour. The gatekeepers will be those who can express behaviour in a language that can be formally validated. BDD anyone? 🟢 𝗘𝗺𝗽𝗵𝗮𝘀𝗶𝘀 𝗼𝗻 𝘀𝗼𝗳𝘁 𝘀𝗸𝗶𝗹𝗹𝘀 As most code-related tasks become orders of magnitude faster, engineers will need to improve their soft skills, such as communication, collaboration and adaptability. The ability to work effectively with people will become a key differentiator. For some time to come, we'll still want an expert eye to validate things before they go live. Especially in regulated sectors and non-trivial products. QA will very quickly become the bottleneck, and that will drive demand. And engineers in test will be the new innovators 🧑‍🚀 www.linkedin.com/posts/e…192-ciY3