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Articles on business, SaaS, and the software that powers organizations.

How API security is evolving for the GenAI era

Ben Popper chats with Keith Babo, Head of Product at Solo.io, about how the API security landscape is changing in the era of GenAI. They talk through the role of governance in AI, the importance of data protection, and the role API gateways play in enhancing security and functionality. Keith shares his insights on retrieval-augmented generation (RAG) systems, protecting PII, and the necessity of human-in-the-loop AI development.

He sold his first company for billions. Now he’s building a better developer experience.

Founder and entrepreneur Jyoti Bansal tells Ben, Cassidy, and Eira about the developer challenges he aims to solve with his new venture, Harness, an AI-driven software development platform meant to take the pain out of DevOps. Jyoti shares his journey as a founder, his perspective on the venture capital landscape, and his reasons behind his decision to raise debt capital for Harness.

How to build open-source apps in a highly regulated industry

Today we chat with Reshma Khilnani, co-founder and CEO of Medplum, an open-source platform enabling companies to build healthcare applications like EHRs and patient portals. She discusses how to iterate rapidly in an industry where SOC2 compliance is just the beginning (one of the compliance tests is named after Dante’s epic poem depicting the nine circles of hell, if that gives you an idea).

Data, data everywhere and not a stop to think

Ben and Ryan are joined by Nick Heudecker, Senior Director of Market Strategy and Competitive Intelligence at Cribl, to discuss the state of data and analytics. They cover GenAI, the role of incumbents vs. startups, challenges of data storage and security, data quality and ETL pipelines, measures of data quality for GenAI, and Cribl’s role in the data and observability space.

Is AI making your code worse?

Ben and Ryan are joined by Bill Harding, CEO of GitClear, for a discussion of AI-generated code quality and its impact on productivity. GitClear’s research has highlighted the fact that while AI can suggest valid code, it can’t necessarily reuse and modify existing code—a recipe for long-term challenges in maintainability and test coverage if devs are too dependent on AI code-gen tools.