In this article, Devesh Raghubanshi and Prasun Mishra argue that the real breakthrough isn’t in faster code generation — it’s in rethinking the entire software development lifecycle (SDLC) as AI-first. They show how enterprises can target the bottlenecks that cause the most delay and waste, embed AI where it matters most, and demand measurable results from their providers.
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Why coding experiments stall while bottlenecks in testing, deployment, and operations remain untouched
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The four dimensions every AI-first SDLC needs: mindset, measurement, lifecycle coverage, and sustained improvement
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How to apply AI across planning, development, testing, deployment, and retrospectives with clear metrics for speed, quality, and cost
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Why provider accountability is the next competitive advantage in AI adoption
Don’t just add AI to your code. Redesign your SDLC to deliver results.
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