When it comes to the SDLC of no-code development, organizations need to rethink how and where to embed security, focusing on phases where it can have the most impact.

AI for development permeates throughout the process, from the initial planning stages, where it predicts project timelines, to testing and, now, even autonomous deployment.

My work spans across different methodologies ... Quality Analyst with over 14 years of experience in all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle ...