The New Stack Podcast

David Cramer, Founder and Chief Product Officer of Sentry, shares insights on the limitations of current generative AI in replacing human engineers. He emphasizes the importance of human oversight in AI debugging tools, specifically discussing Sentry's AI-driven tool, Seer, which aids in identifying root causes of errors. Cramer also details Sentry's shift from open source to a fair-source licensing model to prevent exploitation while maintaining accessibility. His reflections on LLMs highlight their potential in coding, yet underscore that they are not ready for production use due to reliability issues.

In this engaging discussion, Andrew Milich from Cursor and Tom Moor from Linear dive into the synergy between coding agents and project management. They explore how Cursor's AI coding agent can streamline workflows by integrating directly with Linear’s new agent-specific API. Key insights include the importance of providing agents with clear, contextual tasks rather than vague commands. They also touch on the future of autonomous agents and the potential for more companies to adopt agent-specific APIs to enhance productivity.

Pat Casey, CTO and co-founder of ServiceNow, shares insights on running 90% of their workloads, including AI, on physical servers. He discusses the benefits of their in-house GPU hubs for low-latency operations and how their new AI coding assistant, Windsurf, has boosted productivity by 10%. Casey raises concerns about the future of junior developers as AI tools take on traditional tasks, though he remains optimistic about AI's transformative potential despite challenges ahead.

Christopher "Crob" Robinson, Head of the Open Source Security Foundation, brings critical insights on the EU's Cyber Resilience Act. He underscores how compliance burdens threaten lone developers who often manage popular open source projects with limited resources. The discussion reveals alarming statistics, such as 97% of commercial software utilizing open source, while compliance could impose penalties in the billions. Robinson emphasizes the urgent need for funding models and collaboration to support these developers in navigating new regulatory landscapes.

In this discussion, Zach Lloyd, Founder and CEO of Warp, reveals how the Warp terminal has transformed into an agentic development environment. He introduces Warp Code, showcasing AI agents that assist in coding, debugging, and project management. Transparency in AI-generated code is emphasized, allowing developers to maintain control. Lloyd also shares the story behind their unique Western-themed product launch, featuring the quirky "Code on Warp" branding that set them apart. This evolution paves the way for a new era in coding productivity.

Jim Zemlin, Executive Director of the Linux Foundation, delves into the fragmented world of open source AI. He discusses the shift from foundational to open-weight models and emphasizes the need for a unified structure while valuing innovation. Zemlin views the industry's challenges regarding model transparency and the costs of developing frontier AI models with a pragmatic lens. He also highlights the growing open-source culture in China and the impacts of global regulations on the open source community, underscoring the fine balance between scale and agility.

Raj Verma, CEO of SingleStore, dives into the evolving landscape of enterprise AI. He reveals that less than 1% of enterprise data is currently utilized for AI, stressing the importance of aligning data strategies with AI aspirations. Raj outlines a three-phase evolution for AI, from automating simple tasks to achieving the seemingly impossible. He critiques legacy systems and advocates for modern, unified data platforms to meet the high demands of agentic AI, emphasizing the urgent need for enterprises to transform their data infrastructure.

Tzvika Shneider, CEO and co-founder of Pynt, an innovative API security startup, dives into the pitfalls of the Model Context Protocol (MCP). He reveals how MCP, evolving from traditional APIs, is fraught with vulnerabilities as AI agents begin to connect. Shneider emphasizes that 72% of MCP plugins expose high-risk operations without proper validation. He points out that while MCP exploits are rare now, most organizations are ill-equipped to manage these security challenges. His insights underscore the urgent need to enhance security measures in this rapidly changing tech landscape.

Rahul Auradkar, Executive VP and GM at Salesforce, shares his journey from a cricket-loving youth in India to a leader in data evolution. He discusses the transition from relational databases to modern data solutions, unveiling the importance of 'data exhaust' for businesses. Auradkar highlights challenges posed by data silos and emphasizes the necessity of unifying these to enhance business interactions. He also dives into how generative AI can elevate data practices, paving the way for more productive and seamless enterprise experiences.

In this week’s episode ofThe New Stack Agents, Scott Carey, editor-in-chief of LeadDev, discussed their first AI Impact Report, which explores how engineering teams are adopting AI tools. The report shows that two-thirds of developers are actively using AI, with another 20% in pilot stages and only 2% having no plans to use AI — a group Carey finds particularly intriguing. Popular tools include Cursor (43%) and GitHub Copilot (37%), with others like OpenAI, Gemini, and Claude following, while Amazon Q and Replit lag behind.Most developers use AI for code generation, documentation, and research, but usage for DevOps tasks like testing, deployment, and IT automation remains low. Carey finds this underutilization frustrating, given AI's potential impact in these areas. The report also highlights concern for junior developers, with 54% of respondents expecting fewer future hires at that level. While many believe AI boosts productivity, some remain unsure — a sign that organizations still struggle to measure developer performance effectively.Learn more from The New Stack about the latest insights about the AI tool adoption: AI Adoption: Why Businesses Struggle to Move from Development to Production3 Strategies for Speeding Up AI Adoption Among DevelopersAI Everywhere: Overcoming Barriers to AdoptionJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.