The AI Native Dev – from Copilot today to AI Native Software Development tomorrow

Join hosts Simon Maple and Guy Podjarny as they recap the highlights from September's sessions on the AI Native Developer podcast. Featuring special guest Ben Galbraith, we explore diverse topics ranging from enterprise AI strategies and AI-driven documentation updates to the latest in AI security practices. Ben shares his career journey and insights from his new role at Tessl, providing listeners with a glimpse into the future of AI Native Development. This episode is packed with expert opinions and practical advice for developers looking to harness the power of AI.

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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.

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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.

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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.

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In this episode of AI Native Dev, host Guy Podjarny sits down with Tamar Yehoshua, a seasoned tech leader with an impressive career in engineering and product leadership roles at Amazon, Google, Slack, and currently, Glean. Tamar shares her journey and the innovative work being carried out at Glean, an enterprise AI platform. The discussion delves into Glean's dual interface for search and chat, the critical importance of security and privacy in AI solutions, and the architectural insights behind Glean's RAG-based solution. Tamar also sheds light on the evolution from AI to generative AI at Glean, the challenges of building AI solutions for enterprises, and strategies for user adoption and behavior change. Looking ahead, Tamar envisions a future where AI assistants handle repetitive tasks, allowing employees to focus on more creative and high-leverage activities. This episode is a must-listen for anyone interested in the future of AI in the enterprise.

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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.

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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.

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In this enlightening episode, Simon Maple is joined by James Ward, developer advocate at AWS, to explore the evolving role of AI in the realm of software testing and development. James shares his journey and experiences with AWS, delves into a provocative tweet about AI's potential to write code, and discusses the current capabilities and limitations of AI tools like AWS Q Developer. They also speculate on the future of development roles, the importance of comprehensive specifications and tests, and the symbiotic relationship between AI and developers. Whether you're a seasoned developer or just curious about the future of AI in coding, this episode offers valuable insights and thought-provoking discussions.

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In this follow-up episode, we welcome back James Ward, a seasoned software developer with extensive experience in cloud computing and AI. James shares his hands-on experiences with Q Developer, an AI assistant designed to integrate seamlessly with AWS services. This episode offers a practical look into using Q Developer to enhance coding productivity and streamline cloud management. James discusses various features, including code explanation, test generation, and advanced slash commands. Whether you're an advanced developer or just starting, James's insights provide valuable knowledge that can transform your development process.

Note - this episode is best viewed on YouTube as it describes a demo on screenshare.

In this episode of the AI Native Dev Podcast, host Guy Podjarny sits down with Itamar Friedman, the co-founder and CEO of Codium AI, a leading company in the AI test generation space. Itamar brings a wealth of experience from his diverse background, including his work in chip verification at Mellanox. Before founding Codium AI, Itamar held significant roles in various tech companies, showcasing his expertise in AI and software development.

The discussion delves into the intricacies of AI test generation, exploring how AI can enhance different types of testing, from unit and component testing to system and end-to-end testing. Itamar explains how AI can assist in test planning, generating and maintaining tests, and the distinct roles of functional and regression testing. He also addresses the challenges developers face in trusting AI-generated tests and outlines the path towards autonomous AI test generation. This episode is a must-listen for anyone interested in the future of AI in software testing and development.

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In this insightful episode of the AI Native Dev podcast, hosts Simon Maple and Guy Podjarny discuss the key themes and learnings from their recent podcast episodes. From evaluating the effectiveness of AI tools to understanding the critical role of context in AI code generation, Simon and Guy cover a wide range of topics that are crucial for developers working with AI technologies.

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Join Simon Maple in this insightful episode as he continues his conversation with Devin Stein, the innovative mind behind Dosu, an AI-driven tool designed to assist developers with tasks outside the traditional IDE. Devin, a seasoned software engineer and entrepreneur, shares how Dosu helps developers by answering questions, triaging issues, and maintaining documentation. The episode explores real-world examples of Dosu in action, highlighting its successes and the critical role of human oversight in ensuring accuracy.

Devin Stein, with his extensive background in AI and machine learning, discusses the practical applications of Dosu within the open-source community and beyond. Learn how Dosu automates responses, organizes issues, and integrates data from various sources to provide comprehensive and accurate solutions. The conversation also touches on the limitations of AI and the essential balance between AI capabilities and human oversight.

Join Simon Maple as he chats with Devin Stein, the innovative founder of Dosu. In this episode, they delve into the evolving role of AI in software development, focusing on automating tasks outside the IDE. Devin shares his journey from early engineering roles at startups to founding Dosu, a company dedicated to alleviating developers' maintenance burdens through AI. They discuss the challenges and triumphs of integrating AI into development workflows, the precision and context required for effective AI responses, and the future potential of AI in creating higher-level abstractions and primitives. Whether you're a seasoned developer or new to the field, this episode offers valuable insights into the future of AI in development.

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In this episode, Simon Maple dives into the world of AI testing with Rishabh Mehrotra from Sourcegraph. Together, they explore the essential aspects of AI in development, focusing on how models need context to create effective tests, the importance of evaluation, and the implications of AI-generated code. Rishabh shares his expertise on when and how AI tests should be conducted, balancing latency and quality, and the critical role of unit tests. They also discuss the evolving landscape of machine learning, the challenges of integrating AI into development workflows, and practical strategies for developers to leverage AI tools like Cody for improved productivity. Whether you're a seasoned developer or just beginning to explore AI in coding, this episode is packed with insights and best practices to elevate your development process.

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In this enlightening episode of the AI Native Dev podcast, Des shares invaluable insights into the strategic decisions and challenges faced along the way of Intercom's AI journey, highlighting the pivotal moments that shaped Intercom's AI-first approach. The discussion delves into the evolution from AI-assisted tools to autonomous AI agents, organizational changes, and the future of AI-powered customer support. Des also emphasizes the importance of up-to-date knowledge bases and disciplined adoption of AI tools. This episode is a must-listen for anyone looking to understand the impact of AI on customer service and the broader implications for development practices.

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In this podcast episode, Simon Maple and Peter Guagenti explore the evolution, current capabilities, and future potential of AI code assistants like Tabnine. Peter shares extensive experience and insights into how these tools have transitioned from code completion aids to comprehensive assistants throughout the Software Development Life Cycle (SDLC). The discussion also addresses common concerns among developers, such as job security and the accuracy of AI-generated code. Listeners will learn practical tips for leveraging AI tools effectively and hear predictions of AI in software development. Join us as we delve into this fascinating topic with an industry expert.

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On today's episode, we're categorizing AI development tools to map out the AI Native Software development space. We'll introduce each category and discuss their significance, setting up deeper dives for future content.

Our guest is Amir Shevat, an expert in developer tools and investor with experience at Microsoft, Google, Slack, and Twitter. Amir will help us explore:

1. Code Completion Tools: Tools like Copilot and Tabnine that integrate into IDEs to enhance productivity.
2. AI Test Generation: Tools like Codium and Heal.dev that automate testing tasks to improve software quality.
3. AI Documentation: Tools such as Swimm and Tadata that automate and maintain code and user documentation.
4. DevOps Automation: Tools like Resolvd that automate deployment processes, aiming for a future where AI handles more complex DevOps tasks.
5. AI Monitoring and Debugging: Tools including second.dev that provide insights and identify irregularities in code performance.

We also touch on CICD, code explainers, performance tooling, security, UX, code reviews, data management, and autonomous agents.

Amir emphasizes that AI tools can automate many tasks, allowing developers to focus on defining business logic and ensuring code quality and user experience.

Join us next time for a detailed discussion on code completion with the folks at Tabnine. Share your feedback at [email protected] or on social media. Thank you, Amir, for a fascinating conversation.

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In this inaugural episode of the AI Native Dev podcast, hosts Simon Maple and Guy Podjarny reunite to delve into the world of AI native software development. They explore what AI native development means, why it’s crucial, and how it will revolutionize the software creation process. Guy also introduces his new company, Tessl, detailing its vision, ambitions, and plans for the future.

Listeners will gain insights into the core principles of AI native software development, such as the transition from code-centric to spec-centric approaches and the implications of AI on software ecosystems. The episode also touches on the evolving role of developers and the potential for AI to transform repetitive tasks, enabling developers to focus on more creative and impactful work.

Stay tuned as the hosts discuss the exciting future of AI in software development, share their expectations, and invite the community to join them on this innovative journey. Whether you’re a seasoned developer or new to the AI landscape, this episode is packed with valuable insights and thought-provoking discussions.

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Welcome to the AI Native Dev Podcast, hosted by Guy Podjarny and Simon Maple. If you're a developer or dev leader, join us as we explore and help shape the future of software development in the AI era. Dive into exciting AI-powered dev tools and hear from their makers on how they work and how you should use them. We'll discuss the evolving role of software developers and what AI native software development looks like. Tune in every Tuesday for insights from industry trailblazers, and every other Thursday for expert deep dives. Don’t miss our monthly roundups with Guy and Simon, filled with learnings and a touch of banter. Subscribe now to supercharge your development and be part of the next generation of software development.