Published: 16 January 2024
The hype around GenAI in software engineering has shifted to code generation, which is only one aspect of the software development life cycle. Software engineering leaders must prepare to adopt GenAI in other areas such as skills acquisition, testing and accessibility, and application modernization.
The hype around generative AI (GenAI) has focused on code generation, which is only one aspect of a software engineer’s job. Optimizing code generation alone will create bottlenecks in other parts of the software development life cycle (SDLC), which limits the overall productivity benefits.
The rise of GenAI technology has exposed critical gaps in the skills and knowledge of software engineering teams, and few organizations have effective remediation strategies.
Despite steady advances in test automation technologies, software testing continues to be a bottleneck for organizations. Software engineering leaders and teams find it difficult to expand testing coverage without sacrificing speed
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Analysts:
Frank O'Connor, Manjunath Bhat, Jim Scheibmeir, Brent Stewart, Anne Thomas
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