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Federal Tech Podcast: for innovators, entrepreneurs, and CEOs who want to increase reach and improve brand awareness
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Ep. 187 Accelerating Application Refactoring with AI in DevSecOps
Manage episode 447074265 series 3610832
A tartalmat a The Oakmont Group and John Gilroy biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a The Oakmont Group and John Gilroy vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/
Want to listen to other episodes? www.Federaltechpodcast.com
Joel Krooswik from Gitlab has seen more code reviews than he can count. He has seen duplicate code, insufficient data, and insecure code. "Work harder" may be the maxim in the NFL, but this is a fool's errand regarding software development.
Traditionally, a code review would yield remediation that would take hours and detailed work. During the interview today, Joel looks at how Artificial Intelligence can be applied to four areas:
- Clean code. A system may work now despite problems. However, it can fail once it is stress-assessed with mountains of data. Clean code means it is easier to scale.
- Speed. Humans may not be able to see system inadequacies that slow it down. AI can see log jams that a human cannot.
- Duplicate code. Various individuals have maintained older systems so that code may have been duplicated. Duplicate code is complex for humans to find but easy for AI.
- New features. Application "A" may run on a system with no problems; when updated, it may highlight issues you do not know exist. AI can look at code and allow for more accessible features.
During the interview, Joel focuses on how these abilities can be applied to the federal environment.
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