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AI in the Software Development Lifecycle: Where Humans Stay in Control

Article/Blog post

Insight summary

Four in five developers now use AI tools regularly, yet fewer than a third trust its accuracy. This article explores where AI excels in the software development lifecycle (SDLC) for mechanical tasks like documentation and debugging, and where human judgment remains critical for complex decisions such as system design, abstraction, and security. It emphasizes that good engineering practices, which predate AI, are even more crucial now to maintain software quality at increased speeds.
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TransparencyWins ecosystem context

This insight was contributed by Proxiad SEE, a software engineering partner represented in the TransparencyWins ecosystem. TransparencyWins connects expert contributions with provider profiles, case studies, certifications and other capability signals so that tech buyers can better understand and compare potential software engineering partners.