The traditional software development life cycle (SDLC) exists for good reasons. Its stages – planning, analysis, design, coding, testing, deployment, and maintenance – are designed to prioritize the safety, stability and risk management of code from inception to delivery. But the SDLC wasn’t built for the era of AI. Its rigidity, fixed assumptions, and built-in cons...
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Title of SD Times: "SD Times - Software Development News"