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RESEARCH

AI, platform engineering, and developer experience are key

A big question for software engineering leaders today is how to supercharge team productivity while staying flexible and adaptable to meet evolving business demands. The answer lies in the interplay of three critical areas: AI, platform engineering and developer experience.

Gartner, Hype Cycle for Agile and DevOps, 2025, Keith Mann, Manjunath Bhat, Nabeeha Ahmed, (day, month) 2025

Key takeaways

Why feature management?

Decouple delivery from deployment

Feature management helps software engineering teams avoid delays by separating delivery from deployment.

Increase in demand for instant recovery

Rising expectations for system availability drive the need for feature toggles and efficient feature management.

Meet speed to market pressures

Progressive releases allow features to be rolled out gradually, accommodating new user segments and expanding capabilities.

Encourage experimentation

IT leaders should advocate for feature management to enable experimentation, including selecting the right vendor and investing in staff training.

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The biggest potential impact [of feature management] comes from the improved ability to select valuable features for development, based on feedback loops from feature monitoring in production to development planning.

Gartner® Hype Cycle for Agile and DevOps 2025

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