Wed, 24 April 2024 SE Radio 613: Shachar Binyamin on GraphQL Security Shachar Binyamin, CEO and co-founder of Inigo, joins host Priyanka Raghavan to discuss GraphQL security. They begin with a look at the state of adoption of GraphQL and why it's so popular. From there, they consider why GraphQL security is important as they take a deep dive into a range of known security issues that have been exploited in GraphQL, including authentication, authorization, and denial of service attacks with references from the OWASP Top 10 API Security Risks. They discuss some mitigation strategies and methodologies for solving GraphQL security problems, and the show ends with discussion of Inigo and Shachar's top three recommendations for building safe GraphQL applications. Brought to you by IEEE Software and IEEE Computer Society. Direct download: 613_shachar_binyamin_graphql_security.mp3 Category:guest/technology -- posted at: 2:54am CEST

Wed, 17 April 2024 SE Radio 612: Eyal Solomon on API Consumption Management Eyal Solomon, CEO and co-founder of Lunar.dev, joins SE Radio’s Kanchan Shringi for a discussion on tooling for API consumption management. The episode starts by examining why API consumption management is an increasingly important topic, and how existing tooling on the provider side can be inadequate for client-side issues. Eyal talks in detail about issues that are unique to API consumers, before taking a deep dive into the evolution of middleware built by teams and companies to address these issues and the gaps. Finally they consider how Lunar.dev seeks to solve these issues, as well as Eyal's vision of lunar.dev as a open source platform. This episode is sponsored by WorkOS. Direct download: 612_eyal_solomon_api_consumption_management.mp3 Category:guest/technology -- posted at: 1:49am CEST

Tue, 9 April 2024 SE Radio 611: Ines Montani on Natural Language Processing Ines Montani, co-founder and CEO of Explosion, speaks with host Jeremy Jung about solving problems using natural language processing (NLP). They cover generative vs predictive tasks, creating a pipeline and breaking down problems, labeling examples for training, fine-tuning models, using LLMs to label data and build prototypes, and the spaCy NLP library. Direct download: 611-Ines_Montani_Natural_Language_Processing.mp3 Category:general -- posted at: 10:00am CEST

Wed, 3 April 2024 SE Radio 610: Phillip Carter on Observability for Large Language Models Phillip Carter, Principal Product Manager at Honeycomb and open source software developer, talks with host Giovanni Asproni about observability for large language models (LLMs). The episode explores similarities and differences for observability with LLMs versus more conventional systems. Key topics include: how observability helps in testing parts of LLMs that aren't amenable to automated unit or integration testing; using observability to develop and refine the functionality provided by the LLM (observability-driven development); using observability to debug LLMs; and the importance of incremental development and delivery for LLMs and how observability facilitates both. Phillip also offers suggestions on how to get started with implementing observability for LLMs, as well as an overview of some of the technology's current limitations. This episode is sponsored by WorkOS. Direct download: 610-phillip_carter_observability_for_large_language_models.mp3 Category:guest/technology -- posted at: 9:59pm CEST

Tue, 2 April 2024 SE Radio 603: Rishi Singh on Using GenAI for Test Code Generation Rishi Singh, founder and CEO at Sapient.ai, speaks with SE radio’s Kanchan Shringi about using generative AI to help developers automate test code generation. They start by identifying key problems that developers are looking for in an automated test-generation solution. The discussion explores the capabilities and limitations of today’s large language models in achieving that goal, and then delves into how Sapient.ai has built wrappers around LLMs in an effort to improve the quality of the generated tests. Rishi also suggests how to validate the generated tests and outlines his vision of the future for this rapidly evolving area. Brought to you by IEEE Computer Society and IEEE Software magazine. This episode is sponsored by WorkOS. Direct download: 603_rishi_singh_using_genai_for_test_code_generation.mp3 Category:guest/technology -- posted at: 1:45am CEST