Predicts 2024: Generative AI is reshaping software engineering

Published Mar 24, 2024
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cASE sTUDY

Predicts 2024: Generative AI is reshaping software engineering

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Software development is shifting, and AI is at the forefront of this transformation. The Gartner report, "Predicts 2024: Generative AI Is Reshaping Software Engineering," underscores the pivotal role of generative AI (GenAI) in revolutionizing the software development life cycle (SDLC), moving beyond mere code generation to address broader aspects such as skills acquisition, testing, accessibility, and application modernization. It’ll advise you as an Application Security leader to educate your developers on critically examining AI-generated software assets. 

In this complimentary copy of the Gartner Predicts report, you’ll learn:

  • In-depth insights: Explore the shift from GenAI hype for code generation to its broader applications across the SDLC, addressing critical gaps in skills, testing bottlenecks, and the push for higher accessibility standards.
  • Strategic recommendations: Gain actionable advice tailored for leaders, including how to integrate GenAI across the SDLC, enhancing DevSecOps practices, and accelerating application modernization efforts.
  • Future trends: Discover strategic planning assumptions predicting that, by 2027, 40% of platform engineering teams will use AI to augment every phase of the SDLC, a significant increase from just 5% in 2023.
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GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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Predicts 2024: Generative AI is reshaping software engineering

Published Mar 24, 2024
By

Software development is shifting, and AI is at the forefront of this transformation. The Gartner report, "Predicts 2024: Generative AI Is Reshaping Software Engineering," underscores the pivotal role of generative AI (GenAI) in revolutionizing the software development life cycle (SDLC), moving beyond mere code generation to address broader aspects such as skills acquisition, testing, accessibility, and application modernization. It’ll advise you as an Application Security leader to educate your developers on critically examining AI-generated software assets. 

In this complimentary copy of the Gartner Predicts report, you’ll learn:

  • In-depth insights: Explore the shift from GenAI hype for code generation to its broader applications across the SDLC, addressing critical gaps in skills, testing bottlenecks, and the push for higher accessibility standards.
  • Strategic recommendations: Gain actionable advice tailored for leaders, including how to integrate GenAI across the SDLC, enhancing DevSecOps practices, and accelerating application modernization efforts.
  • Future trends: Discover strategic planning assumptions predicting that, by 2027, 40% of platform engineering teams will use AI to augment every phase of the SDLC, a significant increase from just 5% in 2023.
File:Gartner logo.svg - Wikipedia

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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