Published: 10 October 2022
Software applications drive business innovation and growth. In 2023, improving business and customer outcomes will require application technical professionals to embrace continuous learning to keep pace with evolving user experience technologies, AI/ML toolsets and platform engineering capabilities.
The increasing complexity and pace of product development creates a strong need for platform engineering to reduce team cognitive load and improve the developer experience.
Software tools augmented with artificial intelligence (AI) and machine learning (ML) enable software engineers to improve their development and testing efficacy and efficiency. Despite showing early promise, AI/ML-augmented development tools are still immature, so engineers must exercise caution when utilizing them.
The micro-frontend (MFE) pattern promises many benefits for the development and deployment of complex applications, but requires a higher level of user experience (UX) coordination, governance, and automation than a prior generation of applications
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Analysts:
Bill Holz, Danny Brian, Brad Dayley, Peter Hyde, Nick Wilcox
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