Join Simon Maple as he hosts Liran Tal, a Developer Advocate at Snyk, in a fascinating exploration of AI's impact on security. Liran, with his extensive background in software development and application security, shares valuable insights into how AI influences security practices, both as a tool and a potential threat. The discussion covers a wide range of topics, from non-determinism in AI to the role of AI code assistants and the implications of LLM-generated responses. Liran offers practical advice for developers on integrating security into their workflows and balancing AI's capabilities with human oversight. This episode is a must-listen for developers interested in the evolving landscape of AI and security.

Armon Dadgar dives into the transformative power of AI in modern infrastructure management. He discusses how AI can streamline the lifecycle of applications, from initial setup to decommissioning. The conversation touches on the security risks of AI-generated infrastructure and the need for clear specifications in code development. Insights on leveraging AI for operational efficiency and the evolving role of Site Reliability Engineers are also highlighted, illuminating the critical interplay between technology and business understanding in the future of DevOps.

Ben Galbraith, a seasoned AI expert now at Tessl, shares insights on the evolving landscape of AI Native Development. He discusses his career journey from big players like Google to startup life, revealing the emotional nuances of such transitions. The conversation dives into enterprise AI strategies and the importance of trust and security in adopting AI tools, especially for large language models. Galbraith also highlights the vibrant AI scene in London, underscoring a collective vision for reimagining software creation.

In this enlightening episode of the AI Native Dev podcast, Simon Maple sits down with Felipe Aguirre, a seasoned data scientist with a PhD in computer science and over 15 years of experience. Felipe, the organizer of the global AI Tinkerers community, shares his journey from academia to entrepreneurship and delves into the transformative potential of AI in software development. He provides practical insights on using AI tools like Claude to generate code and build applications, illustrating how these innovations can streamline development workflows and boost productivity. Whether you're a developer curious about AI or a tech enthusiast, this episode offers valuable perspectives on the future of coding.

In this episode of the AI Native Dev Podcast, host Guy Podjarny welcomes Caleb Sima, a seasoned expert in cybersecurity and AI. Caleb's impressive background includes founding Spy Dynamics and serving as the Chief Information Security Officer (CISO) at Databricks and Robinhood. Currently, he's making waves on the investment side with WhiteRabbit and co-hosting a podcast on AI security.

In this engaging episode, Simon Maple sits down with Omer Rosenbaum, the CTO and co-founder of Swimm, to explore the challenges and solutions in the realm of software documentation. With a rich background in cybersecurity, Omer brings a unique perspective to the discussion, highlighting the critical role of documentation in developer onboarding and knowledge sharing within organizations. They delve into how AI can assist in writing, updating, and finding documentation and discuss Swimm’s innovative approach that combines static analysis with AI to automate the documentation process. This episode is a must-listen for anyone interested in the future of software documentation and the impact of AI on developer workflows.

Tamar Yehoshua, a seasoned tech leader with a notable history at Amazon, Google, and Slack, shares insights from her current role at Glean. The conversation dives into Glean's innovative AI platform designed for enterprise solutions. Tamar discusses the importance of security and privacy in AI, the evolution from traditional search to generative AI, and the unique challenges enterprises face in adopting AI tools. She envisions a future where AI assistants take over routine tasks, allowing teams to focus on creativity and strategic initiatives.

In this month's episode of the Tessl podcast, hosts Simon Maple and Guy Podjarny explore the transformative impact of AI on software development. Featuring insights from industry leaders such as Itamar Friedman from Codium AI, James Ward from AWS, Jason Warner from Poolside, and Bouke Nijhuis from CINQ, the episode delves into AI's role in testing, code generation, and the future roles of developers. Listen as they discuss complex topics like AI-generated tests, the dichotomy between understanding and generating code, and the importance of tests over code. This episode is essential listening for anyone interested in the intersection of AI and software development.

Join Simon Maple as he sits down with Bouke Nijhuis, the Chief Technology Officer of CINQ, a consultancy based in Amsterdam. Bouke, an experienced Java developer and international speaker, delves into the world of Test-Driven Development (TDD) and the role of AI in modern software development. Throughout the episode, Bouke discusses his experiences with various AI coding assistants, and the innovative concept of generating code from human-written tests using AI. Learn about Bouke's practical implementations, the challenges faced, and his vision for a future where tests are the primary artifacts in software development. Whether you're a seasoned developer or just starting out, this episode offers valuable insights into the evolving landscape of AI-assisted coding.

In this episode of AI Native Dev, Guy Podjarny sits down with Jason Warner, a veteran in software development and AI. Jason's impressive career includes roles such as CTO at GitHub, where he contributed to the creation of GitHub Actions and GitHub Copilot, GM at Heroku, and positions at Canonical and Redpoint Ventures. Now, as the founder of Poolside, Jason focuses on developing state-of-the-art language models for software development. This episode covers the evolution of code generation, the impact of AI on software development, the challenges and limitations of current models, and speculations on the future role of developers in an AI-native world.