Adapting to AI as a Software Engineer

There is a lot to keep up with AI as a Software Engineer: updates, different workflows and resources etc. Having a solid basis to learn from helps narrow down and get direction to adapting, and for me that has been the software development lifecycle. In this episode I walk through each SDLC phase and share where I think AI adds value (currently) and where the human stays in the loop. 📚 Resources Madona Wambua's LinkedIn Newletter:   / madona-s-op-ed-7381837576875315200   🕰️ Timestamps 00:00 Introduction 01:26 A basis to learn from: the SDLC 02:57 Human guardrail Loop: Research, Plan, Implement 05:31 SDLC: Requirements 07:40 SDLC: Design 09:29 SDLC: Implementation 12:17 SDLC: Testing 12:44 SDLC: Release, Maintenance & Monitoring 14:15 Resources I've been loving 15:13 The speed trap 16:51 Resources I've been loving 17:54 Wrapping up 💬 How have you shifted your mindset to adapt to AI? Let me know in the comments! Instagram:   / thetechiegarage   LinkedIn:   / annunziatakinya