<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom"><title>SEI Blog | AI-Augmented Software Engineering</title><link href="http://sei.cmu.edu/feeds/topic/ai-augmented-software-engineering/atom/?utm_source=blog&amp;utm_medium=rss" rel="alternate"/><link href="http://sei.cmu.edu/feeds/topic/ai-augmented-software-engineering/atom/?utm_source=blog&amp;utm_medium=rss" rel="self"/><id>http://sei.cmu.edu/feeds/topic/ai-augmented-software-engineering/atom/?utm_source=blog&amp;utm_medium=rss</id><updated>2026-02-09T00:00:00-05:00</updated><subtitle>Updates on changes and additions to the                         SEI Blog for posts matching AI-Augmented Software Engineering</subtitle><entry><title>An Approach to Accelerate Verification and Software Standards Testing with LLMs</title><link href="https://www.sei.cmu.edu/blog/an-approach-to-accelerate-verification-and-software-standards-testing-with-llms/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2026-02-09T00:00:00-05:00</published><updated>2026-02-09T00:00:00-05:00</updated><author><name>Ryan Karl, Yash Hindka, Shen Zhang, John Robert</name></author><id>https://www.sei.cmu.edu/blog/an-approach-to-accelerate-verification-and-software-standards-testing-with-llms/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">This post highlights the work of SEI researchers who sought to prove that LLMs can be used in unclassified environments to rapidly develop tools that could then be used to accelerate software analysis in classified environments.</summary></entry><entry><title>From Hype to Adoption: Guiding Organizations in Their AI Journey</title><link href="https://www.sei.cmu.edu/blog/from-hype-to-adoption-guiding-organizations-in-their-ai-journey/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2025-11-10T00:00:00-05:00</published><updated>2025-11-10T00:00:00-05:00</updated><author><name>Ipek Ozkaya, Anita Carleton, Erin Harper, Natalie Schieber, Robert Edman</name></author><id>https://www.sei.cmu.edu/blog/from-hype-to-adoption-guiding-organizations-in-their-ai-journey/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">After a flurry of initial investments in artificial intelligence, including generative and agentic AI, many organizations are facing mixed results. The SEI is examining how organizations adopt AI and what methods they can use to measure and improve their adoption for long-term success.</summary></entry><entry><title>Perspectives on Generative AI in Software Engineering and Acquisition</title><link href="https://www.sei.cmu.edu/blog/perspectives-on-generative-ai-in-software-engineering-and-acquisition/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2025-02-27T00:00:00-05:00</published><updated>2025-02-27T00:00:00-05:00</updated><author><name>Anita Carleton, James Ivers, Ipek Ozkaya, John Robert, Douglas Schmidt, Shen Zhang</name></author><id>https://www.sei.cmu.edu/blog/perspectives-on-generative-ai-in-software-engineering-and-acquisition/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">It is essential that software and acquisition professionals learn how to apply AI-augmented methods and tools in their workflows. SEI researchers offer their perspectives on this topic.</summary><category term="Acquisition Transformation"/></entry><entry><title>Generative AI and Software Engineering Education</title><link href="https://www.sei.cmu.edu/blog/generative-ai-and-software-engineering-education/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2024-09-09T00:00:00-04:00</published><updated>2024-09-09T00:00:00-04:00</updated><author><name>Ipek Ozkaya, Douglas Schmidt</name></author><id>https://www.sei.cmu.edu/blog/generative-ai-and-software-engineering-education/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">Educators have had to adapt to rapid developments in generative AI to provide a realistic perspective to their students. In this post, experts discuss generative AI and software engineering education.</summary><category term="Artificial Intelligence Engineering"/><category term="Artificial Intelligence"/><category term="Cyber Workforce Development"/><category term="AI-Augmented Software Engineering"/></entry><entry><title>Applying Large Language Models to DoD Software Acquisition: An Initial Experiment</title><link href="https://www.sei.cmu.edu/blog/applying-large-language-models-to-dod-software-acquisition-an-initial-experiment/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2024-04-01T00:00:00-04:00</published><updated>2024-04-01T00:00:00-04:00</updated><author><name>Douglas Schmidt, John Robert</name></author><id>https://www.sei.cmu.edu/blog/applying-large-language-models-to-dod-software-acquisition-an-initial-experiment/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">This SEI Blog post illustrates examples of using LLMs for software acquisition in the context of a document summarization experiment and codifies the lessons learned from this experiment and related work on applying generative AI to software engineering.</summary><category term="Acquisition Transformation"/></entry><entry><title>10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition</title><link href="https://www.sei.cmu.edu/blog/10-benefits-and-10-challenges-of-applying-large-language-models-to-dod-software-acquisition/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2024-01-22T00:00:00-05:00</published><updated>2024-01-22T00:00:00-05:00</updated><author><name>John Robert, Douglas Schmidt</name></author><id>https://www.sei.cmu.edu/blog/10-benefits-and-10-challenges-of-applying-large-language-models-to-dod-software-acquisition/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">This post presents 10 benefits and 10 challenges of applying LLMs to the software acquisition process and suggests specific use cases where generative AI can provide value.</summary><category term="Acquisition Transformation"/></entry><entry><title>Applying Generative AI to Software Engineering: Navigating Ethical and Educational Landscapes</title><link href="https://www.sei.cmu.edu/blog/applying-generative-ai-to-software-engineering-navigating-ethical-and-educational-landscapes/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2023-12-11T00:00:00-05:00</published><updated>2023-12-11T00:00:00-05:00</updated><author><name>John Robert, Douglas Schmidt</name></author><id>https://www.sei.cmu.edu/blog/applying-generative-ai-to-software-engineering-navigating-ethical-and-educational-landscapes/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">The post explores the application of generative AI in software engineering with an emphasis on the ethical and educational landscapes.</summary></entry><entry><title>Generative AI Q&amp;A: Applications in Software Engineering</title><link href="https://www.sei.cmu.edu/blog/generative-ai-question-and-answer-applications-in-software-engineering/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2023-11-16T00:00:00-05:00</published><updated>2023-11-16T00:00:00-05:00</updated><author><name>John Robert, Douglas Schmidt</name></author><id>https://www.sei.cmu.edu/blog/generative-ai-question-and-answer-applications-in-software-engineering/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">This post explores the transformative impacts of generative AI on software engineering as well as its practical implications and adaptability in mission-critical environments.</summary></entry><entry><title>Application of Large Language Models (LLMs) in Software Engineering: Overblown Hype or Disruptive Change?</title><link href="https://www.sei.cmu.edu/blog/application-of-large-language-models-llms-in-software-engineering-overblown-hype-or-disruptive-change/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2023-10-02T00:00:00-04:00</published><updated>2023-10-02T00:00:00-04:00</updated><author><name>Ipek Ozkaya, Anita Carleton, John Robert, Douglas Schmidt</name></author><id>https://www.sei.cmu.edu/blog/application-of-large-language-models-llms-in-software-engineering-overblown-hype-or-disruptive-change/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">This blog post explores large language models (LLMs) in software development, implications of incorporating LLMs into software-reliant systems, and areas where more research is needed to advance their use in software engineering.</summary><category term="Software Engineering Research and Development"/><category term="AI-Augmented Software Engineering"/></entry></feed>