How AI is Transforming the Software Development Life Cycle
SMRTR summary
The traditional SDLC wasn't built for AI-speed development, but rethinking it doesn't mean scrapping best practices. AI handles boilerplate, documentation, dependency upgrades, and design-to-code handoffs, while engineers shift toward architecture, trade-off decisions, and strategic oversight. The real opportunity isn't bolting AI onto existing processes but rebuilding the SDLC around human-AI collaboration to ship faster without sacrificing reliability or security.
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