AI-assisted software delivery refers to the utilization of artificial intelligence to assist, enhance, or automate various phases of the software development lifecycle. AI can be used in numerous aspects of software development, from requirements gathering to code generation to testing and monitoring. The overarching aim is to streamline software delivery, reduce errors and, ideally, reduce

The Buy Now, Pay Later model, or BNPL, is traditionally a business-to-consumer model that is gaining traction in the business-to-business domain. Adoption of BNPL in business-to-business scenarios offers benefits like improved cash flow management for buyers, and increased sales for suppliers, often leading to higher order value. However, this model introduces complexities, including the need

Database caching is a fundamental challenge in database management and there are hundreds of techniques to satisfy different caching scenarios. PolyScale is a fully automated database cache. It offers an innovative approach to database caching, leveraging AI and automated configuration to simplify the process of determining what should and should not be cached. Ben Hagan

In memory of Software Engineering Daily Founder, Jeff Meyerson. 1988 – 2022 Jeff founded Software Engineering Daily in 2015 and hosted the podcast until 2022. He was willful, hard working, and a strong advocate for self-direction. To hear more about what Jeff was like, please listen to Remembering Jeff Meyerson with Erika Hokanson. If you’d

In the realm of modern software development, clear and comprehensive documentation is essential for guiding users and contributors alike. Developers often struggle to create, manage, and maintain documentation that is both user-friendly and visually appealing. In this episode, we sit down with Sebastian Lorber, the lead maintainer of Docusaurus, a widely acclaimed open-source static site

APIs are ubiquitous and critical to building modern software, and developers must frequently develop custom APIs to streamline user access to their services. However, making an API that provides a great developer experience can be a time-consuming endeavor. As a result, API teams often leave the final mile of integration up to their users. Speakeasy

Generative pre-trained transformer models, or GPT models, have countless applications and are being rapidly deployed across a wide range of domains. However, using GPT models without appropriate safeguards can lead to leakage of sensitive data. This concern underscores the critical need for privacy and data protection. Skyflow LLM Privacy Vault prevents sensitive data from reaching

The CAP theorem, also known as Brewer’s theorem, is a fundamental principle in distributed systems that states that it is impossible to simultaneously achieve three desirable properties in a distributed data system: Consistency, Availability, and Partition tolerance. Eric Brewer is the VP of Infrastructure & Google Fellow at Google and he joins us today. This

Companies have high hopes for Machine learning and AI to support real-time product offerings, prevent fraud and drive innovation. But there was a catch – training models require labeled data that machines can digest. As data volumes increase, the opportunity to get great ML results rises, but so does the problem of labeling all the

Elasticsearch is the most established solution today to search and analyze large amounts of logs. However, it can be costly and complex to manage. Quickwit searches large amounts of append only cloud data like logs or ledgers in a fraction time with significantly less cost than Elasticsearch. In this episode, we interview Paul Masurel, one