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

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29 snips
Aug 12, 2025 • 50min

Transforming Debugging and Root Cause Detection with Sentry | David Cramer

David Cramer, co-founder of Sentry, discusses innovations that help over 4 million developers ship software faster. He delves into the use of LLMs and how Sentry’s extensive app data network enhances debugging. David also touches on the emergence of tools like SEER for error detection and the challenges of managing complex data. He shares insights on modern coding practices, emphasizing the balance between automation and quality, while advocating for a proactive mindset to navigate evolving technologies.
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19 snips
Aug 5, 2025 • 52min

Why Tracking AI Usage Drives Better Results | Justin Reock & DX

Justin Reock, CTO at DX and an expert in measuring AI’s impact on software engineering, joins the conversation to explore the intricacies of AI integration in development. He highlights the difference between meaningful adoption and simply following trends. Topics include the dual levers of velocity—quality and maintainability—how proper measurement can drive real results, and the significant boost AI brings to developer productivity across the software development lifecycle. Insights into effective metrics for AI usage also take center stage.
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6 snips
Jul 29, 2025 • 34min

What Next Gen AI Infra, Voice and Video Looks Like | Datadog, Eleven Labs and Synthesia

Olivier Pomel, CEO of Datadog, shares insights on AI-driven observability and the challenges of accuracy in automated systems. Mati Staniszewski, CEO of ElevenLabs, discusses the hurdles in creating AI dubbing solutions and the technical breakthroughs that followed. Victor Riparbelli, CEO of Synthesia, reveals the early struggles of video generation and how they secured investment from Mark Cuban. The trio explores the emotional depth AI can add to digital content, emphasizing the transformative impact of these technologies on communication and user trust.
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14 snips
Jul 22, 2025 • 37min

What If Fixing Code Wasn’t Your Job Anymore? | Jonathan Schneider & Moderne

Jonathan Schneider, co-founder and CEO of Moderne, shares insights on revolutionizing code refactoring. He discusses how teams leverage their rewrite engine to tackle technical debt directly and facilitate organizational change. The conversation dives into AI's role in code management, exposing the limits of LLMs and emphasizing the balance between automation and human oversight. Schneider reveals the transformative potential of using tools like Open Rewrite for code migration and highlights the importance of open-source integration in enhancing code analysis across projects.
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20 snips
Jul 15, 2025 • 49min

Why AI Coding Agents Are Here To Stay | Patrick Debois

In this insightful discussion, Patrick Debois, the pioneering creator of DevOps, shares his experiences from the AI Engineering World Fair. He tackles how AI coding agents are reshaping software development and the crucial role of clear specifications in guiding these agents. Debois reveals why running agents locally is becoming outdated and dives into the emerging concept of 'model specs' from OpenAI. The conversation emphasizes the need for continuous adaptation by developers, as they harness AI's potential to enhance productivity and streamline complex code integration.
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Jul 8, 2025 • 36min

The Graph Layer Behind NASA’s Breakthroughs | Michael Hunger

Michael Hunger, VP of Product Innovation at Neo4j, reveals the game-changing potential of graph databases in AI. He discusses how structured relationships in data uncover intent, addressing the black-box issue in vector-based approaches. Michael emphasizes the benefits of modeling business intent and highlights innovative use cases like fraud detection. The conversation also covers MCP's role in enhancing developer productivity and security best practices, showcasing a grassroots movement in graph technology that’s revolutionizing AI development.
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56 snips
Jul 1, 2025 • 49min

The Missing Gap In Workflows For AI Devs | Baruch Sadogursky

Baruch Sadogursky, Head of Developer Relations at TuxCare, dives deep into the critical role of automated integrity in AI outputs. He discusses the “intent-integrity gap” between human goals and LLM outputs, highlighting why developers must maintain their roles amidst evolving AI technologies. Baruch emphasizes the need for rigorous testing and structured methodologies in code generation, while also exploring the importance of adaptable specifications in this new landscape. Trust in AI-generated code is crucial, and he underscores the balance between creativity and accuracy in LLMs.
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35 snips
Jun 24, 2025 • 49min

Why LLMs Keep Missing This One Thing | Jason Ganz

In this engaging discussion, Jason Ganz, a Senior Manager at dbt Labs specializing in data transformation, shares insights into the limitations of large language models (LLMs) in enterprise settings. He explores the critical need for structured data over AI outputs for reliable decision-making. Topics include the evolving role of data engineers, the challenges of LLMs processing structured data, and the importance of human validation. Ganz also touches on how optimizing context can enhance AI's effectiveness in managing vast datasets.
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6 snips
Jun 17, 2025 • 36min

CTO of $7B Snyk Talks AI Security, Risky Software & Enterprise Adoption

Danny Allan, CTO of Snyk and a veteran in security research, shares insights on AI's integration into enterprise software. He reveals that 80% of Snyk's enterprise customers are embracing AI tools despite security concerns. The conversation delves into the increased vulnerabilities with more code, historical security challenges, and the need for better governance strategies. Allan emphasizes the importance of proactive security measures and regulatory compliance in navigating this evolving landscape where security is becoming less of a roadblock and more of a strategic focus.
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Jun 10, 2025 • 1h 11min

The $2B Nvidia Backed AI Video Platform

In this episode of AI Native Dev, Guy Podjarny is joined by Victor Riparbelli, Co-founder and CEO of Synthesia, who is leading the charge towards AI driven video that lets anyone become a video creation pro with no prior field experience.On the docket:• how Synthesia enables full video editability even after generation • Victor’s vision for fully coded videos that enable personalized, customizable viewing• Victor’s belief that future generations will prefer visuals over any kind of textAI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development. Connect with us here: 1. Victor Riparbelli- https://www.linkedin.com/in/victorriparbelli/2. Guy Podjarny- https://www.linkedin.com/in/guypo/3. Tessl- https://www.linkedin.com/company/tesslio/4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjhAsk us questions: podcast@tessl.io

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