Ben chats with Gias Uddin, an assistant professor at York University in Toronto, where he teaches software engineering, data science, and machine learning. His research focuses on designing intelligent tools for testing, debugging, and summarizing software and AI systems. He recently published a paper about detecting errors in code generated by LLMs. Gias and Ben discuss the concept of hallucinations in AI-generated code, the need for tools to detect and correct those hallucinations, and the potential for AI-powered tools to generate QA tests. https://stackoverflow.blog/2024/09/20/detecting-errors-in-ai-generated-code/
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On today’s episode, Ben and Ryan chat with Laly Bar-Ilan, Chief Scientist at Bit. https://stackoverflow.blog/2025/04/18/generating-components-not-tokens/
Is “agentic AI” just a buzzword, or is it the sea change it seems? https://stackoverflow.blog/2025/04/17/wait-what-is-agentic-ai/
Kyle chats with Jesse Tomchak a software engineer at ClickUp about all the spicy backend takes they could find. https://stackoverflow.blog/2025/04/09/wbit-6-be-curious-ask-questions-and-don-t-argue-w
AI is not a linear process. To scale effectively, engineering leaders must account for varied edge cases, presenting a new set of challenges. https://stackoverflow.blog/2025/04/16/engineering-teams-ne
Kyle interviews Michael Stum, a former Stacker who started (and returned) to answering questions on the community site. https://stackoverflow.blog/2025/04/16/wbit-7-exploring-webassembly-with-the-fir
2025.3 | Teams Enterprise Release https://stackoverflow.blog/2025/04/15/smarter-insights-stronger-teams-new-features-for-stack-overflow-for-teams/
In today’s episode, Ryan sits down with Richard “Spencer” Schaefer, cofounder and CTO of Lunar Analytics and a federal AI officer, and Caroline Zhang, cofounder and CTO of Knowtex, which provides AI-p
