Thanks to AI-generated code, teams might deliver software and apps at a breakneck pace. There might also be non-obvious errors within that code that could break an update.
In this episode of the InformationWeek podcast, panelists Oleksandr Paraska, CTO of Togal.AI, and Cameron Etezadi, CTO of LaunchDarkly discuss the challenge of finding errors in code that seems "close enough" and can be hard to catch.
Both Etezadi and Paraska shared that AI-generated code is moving production faster than ever before, but winnowing out wonky scripting has become another challenge -- especially when all else seems fine. Moreover, AI might feel confident that its code checks out and does not need to be fixed.
They discussed methods they use to catch where AI got close but needed some fixing, as well as how their engineers' skills have evolved with the introduction of AI coding.
The Questionable Ideas tabletop exercise returns again, with Paraska and Etezadi dealing with the goblins, gremlins and kobolds in the room who have their own ill-advised ideas on how to deal with errors in AI-generated code.
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Senior Editor, InformationWeek
Joao-Pierre S. Ruth edits stories for InformationWeek as well as reports on C-suite tech leaders across a multitude of industries and tech disciplines. He also hosts the InformationWeek Podcast, which brings together CIOs, CTOs, and other C-suite leadership to discuss their different approaches to addressing shared challenges. He joined InformationWeek in 2019, initially as a Senior Writer covering cloud computing and DevOps. He became a Senior Editor in 2023.
His work with InformationWeek garnered American Society of Business Publication Editors (ASBE) awards in 2024. This included "Could the DOJ's Antitrust Trial vs Google Drive More Innovation?" as part of the team’s Government Coverage, which collectively won a Bronze National award and a gold Northeast regional award, as well as a bronze regional award for a Web Feature Series on the environmental impact of data-driven organizations published during Earth Month. That award included his story "How Do Supercomputers Fit With Strategies for Sustainability?"
He has been a journalist for more than 25 years, reporting on business and technology first in New Jersey, then covering the New York tech startup community, and later as a freelancer for such outlets as TheStreet, Investopedia, and Street Fight.
Joao-Pierre can be reached via email at [email protected]
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