Free Form AI

Passion for the product, not compensation, is what keeps the best engineers engaged. In this episode of Free Form AI, Michael and Ben sit down with Aleksandr Patrushev, Head of DevRel at Nebius, to explore the evolving role of Developer Relations and the culture that sustains technical talent. From modernizing hardware in data centers to weighing the trade-offs between self-hosted and managed serv...

Behind every robust AI system is a solution accelerator that makes complex development smarter. In this episode of Free Form AI, Michael and Ben dive into the role of solution accelerators in bridging the gap between production-ready software and simpler resources like blogs or cookbooks. They discuss frameworks vs. tools, the challenges of maintainability and how forward deployed engineers can bu...

In this episode of Free Form AI, Michael and Ben explore the evolution of prompt engineering and the rise of auto-optimization in AI. We discuss how agents can execute tasks autonomously, why human oversight remains essential and how defining success criteria shapes model performance. Tune in to Episode 19 for a wide-ranging conversation about:  • Why prompt engineering still matters in an era of...

In this episode of Free Form AI , we sit down with Tomu Hirata (Databricks) , whose journey from medicine to software engineering offers a unique lens on building AI systems. From automating construction machinery to optimizing job postings at Indeed, Tomu has worked at the edge of AI data collection and model design. Tune in to Episode 18 for a wide-ranging conversation about: • The challenges of...

In this episode of Free Form AI , we go behind the scenes with co-host Ben Wilson to explore how his early experiences in the Navy shaped his approach to engineering, risk, and creativity. From high-stakes problem solving to the importance of failure-friendly environments, Ben and Michael unpack what it takes to build resilient systems and resilient people. Along the way, they discuss why fundamen...

Behind every major leap in AI is a wave of experimentation. And GPT-5 is no exception. In this episode of Free Form AI , Michael and Ben unpack what makes the latest generation of large language models different, from reasoning improvements and reduced hallucinations to the open-source revolution reshaping the field. They explore how the industry is moving beyond accuracy metrics to deeper forms o...

In this episode of Free Form AI, we sit down with Lara Rachidi and Maria Zervou, two AI professionals whose paths defy the traditional tech blueprint. Lara began her career in law and economics before pivoting into data science. Maria started at the British Library, digitizing manuscripts and unlocking forgotten datasets. Today, they’re building GenAI systems, leading strategy across regions, and...

In this episode of Free Form AI , we sit down with Puneet Jain , Senior Applied AI Engineer at Databricks, to explore what’s really holding back GenAI from reaching production at scale, and why infrastructure, not intelligence, might be the missing piece. From toy clustering algorithms to national-scale LLMs in healthcare, we unpack how secure data access, agentic tooling, and long-term system des...

In this episode of Free Form AI , we sit down with Mary Moore-Simmons , VP of Engineering at Kibo (formerly GitHub), to explore how career pivots, leadership, and AI are reshaping engineering. From drying Kona coffee beans with radiant heat to leading complex orgs at GitHub, Mary shares how curiosity, efficiency, and a bias for action can accelerate your career. We discuss the hidden cost of ineff...

In this episode of Free Form AI, we explore how AI coding assistants are reshaping the development workflow. From spotting bugs that slip past human review to writing context-aware tests and reviewing entire PRs, these tools are changing how engineers build software. We break down the “secret sauce” behind how they scan a repo with targeted search commands, keeping context focused and results accu...

In this episode of Free Form AI , Michael sits down with Gino Ferrand, CEO of Tecla, to explore how traditional tech hiring misses the mark, especially when it comes to LATAM engineering talent. We break down flawed “rockstar” hiring, AI-proofing your interview process and what successful onboarding actually looks like in a distributed, GenAI-driven world. Music: “Intro” by DJ RADIK, used under CC...

In this episode, Michael and Ben discuss the intricacies of building a video clipping service and recommendation engine. They explore the challenges of defining interesting clips, the importance of feature requirements, and the cold start problem when launching without user data. The conversation delves into tagging and metadata extraction, hierarchical models for recommendations, and the signific...

In this episode, Michael Berk and Ben Wilson discuss the various levels of a data science career, from internships to senior leadership roles. They explore the expectations, responsibilities, and best practices for each level, emphasizing the importance of collaboration, continuous learning, and maintaining a positive team culture. The conversation provides valuable insights for both aspiring data...

In this episode, Michael and Ben speak with Mark Fussell, CEO of Diagrid, about Dapr, a runtime for building distributed applications. Mark shares insights on the challenges of microservices development, the importance of durable workflows, and the actor model. The conversation also touches on API design, the future of AI in software engineering, and how Dapr can accelerate development processes....

In this episode, Michael and Ben explore the world of open source projects in AI, focusing on MLflow and its various flavors. They discuss popular machine learning libraries like Scikit-learn, SparkML, and tree-based algorithms such as XGBoost and LightGBM. The conversation also delves into time series forecasting techniques and the rapidly evolving landscape of generative AI, emphasizing the impo...

In this episode, Michael and Ben discuss the challenges of decision-making in software engineering, particularly focusing on the sunk cost fallacy, emotional attachment to work, and the importance of prototyping. They explore how to recognize when to pivot or bail on a project, the complexities of ROI calculations, and how to effectively communicate with stakeholders about project scope and trade-...

In this episode, Michael Berk and Ben Johnson discuss the essential traits of effective engineering leadership, the importance of customer-centric software development, and the challenges of integrating AI into business processes. They emphasize the need for clear communication, trust, and vulnerability in leadership, as well as the potential risks and ethical considerations surrounding AI technol...

In this episode, Michael Berk and Ben discuss the intricacies of transferring code, project ownership, and knowledge within teams, particularly in the context of machine learning and software engineering. They explore the importance of documentation, bridging skill gaps, and ensuring effective knowledge transfer to maintain and extend codebases. The conversation also touches on the challenges of g...

In this episode, Michael Berk and Ben Wilson discuss their experiences at Databricks, focusing on project management, team dynamics, and the importance of product alignment. They explore the challenges of onboarding new team members, the significance of effective communication with stakeholders, and the balance between upskilling and meeting project deadlines. The conversation emphasizes the need...

In this episode, Michael and Ben Wilson discuss the concept of knowledge acquisition, focusing on how to effectively acquire knowledge for practical action rather than for its own sake. They explore the value of note-taking, the role of curiosity in learning, and the importance of hands-on experience in making knowledge intuitive. The conversation highlights the balance between curiosity-driven ex...

In this episode of Freeform AI, hosts Michael and Ben discuss the importance of understanding ROI in feature development, emphasizing the need for effective prioritization and the implementation of a Minimum Viable Product (MVP). They explore how to analyze demand, identify root causes of inefficiencies, and utilize the MoSCoW method for prioritization. The conversation also touches on the challen...