InfoQ Homepage Programming Content on InfoQ
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If You Can’t Test It, Don’t Deploy It: The New Rule of AI Development?
Magdalena Picariello reframes how we think about AI, moving the conversation from algorithms and metrics to business impact and outcomes. She champions evaluation systems that don't just measure accuracy but also demonstrate real-world business value, and advocates for iterative development with continuous feedback to build optimal applications.
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Effective Error Handling: a Uniform Strategy for Heterogeneous Distributed Systems
Jenish Shah, a back-end engineer focused on distributed systems at Netflix, provides more insights into how to handle failures in a distributed systems setup. He shares details on how he built a library that handles exceptions uniformly, regardless of the underlying communication protocol.
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Mental Models in Architecture and Societal Views of Technology: a Conversation with Nimisha Asthagiri
In this podcast, Michael Stiefel spoke with Nimisha Asthagiri about the importance of system thinking, multi-agent systems, the consequences of society applying a technology into an area for which it was not designed, and whether we can ever have a healthy relationship with artificial intelligence.
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Elena Samuylova on Large Language Model (LLM)-Based Application Evaluation and LLM as a Judge
In this podcast, InfoQ spoke with Elena Samuylova from Evidently AI, on best practices in evaluating Large Language Model (LLM)-based applications. She also discussed the tools for evaluating, testing and monitoring applications powered by AI technologies.
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The Hidden Vulnerability of the Open Source Software Supply Chain: the Underlying Infrastructure
Software supply chain veteran Brian Fox unpacks the security implications of the new EU Cyber Resilience Act and its profound impact on open-source projects. He reveals the hidden infrastructure risks threatening open-source projects and shares insights for senior software leaders navigating this regulatory landscape.
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Leveraging AI Platforms to Improve Developer Experience – From Personal Hackathon to AI at Scale
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Olalekan Elesin about how generative AI tools can elevate developer experience by enabling engineers to be more creative and productive. He stresses the need to manage expectations, develop prompt engineering skills, and maintain a focus on security and customer privacy when leveraging these tools in an enterprise setting.
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Developer Experience Influenced by Open Source Culture
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Kyle Carberry about the importance of developer experience and how it is changing with the rise of tools like Copilot.
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The Value of DevRel and Contributing to Open Source Initiatives
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Craig Box about the role of developer relations and contributing to the open-source community.
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InfoQ Culture & Methods Trends in 2024
In this podcast the Culture and Methods editorial team along with special guest Jutta Eckstein talk about the current state and trends we see in the technology industry in 2024.
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Making Code Explain Itself – Observability Through AI
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Dr. Elizabeth Lawler, the founder and CEO of AppMap, about observability in the age of AI, creativity in programming and problems developers face on a day-to-day basis.