Low Down on Low-Code

Hosted by Rob Koplowitz, Ryan Duguid

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105

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Aug 2026

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About the show

Join us weekly to discuss the latest and greatest in low-code and digital process automation with executives and experts. Real conversations, no marketing BS. Hosted by Rob Koplowitz, John Rymer, and Ryan Duguid. Visit analysis.tech to get in touch about your personal low-code journey and learn about ways we can help.

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August 17, 2026Episode 10728 min

Low-Code, AI, and Citizen Dev w/ Jeff Kuo of Ragic

Join us as we delve into the evolving landscape of low-code platforms, AI integration, and citizen development, featuring insights from Jeff Kuo of Ragic. Discover how organizations globally are transforming their workflows, overcoming challenges with AI-driven tools, and embedding citizen developers into their operational fabric. Key Topics: Jeff Kuo’s journey from academic research to leading Ragic's platform development. The concept of citizen development and its practical applications in manufacturing and hospitality. How low-code platforms like Ragic support complex enterprise needs without traditional coding. The impact of AI on democratizing application creation and reducing learning curves. Strategies for managing risk, privacy, and governance in AI-assisted development environments. Cultural differences in application building, especially between Western and Asian markets. The future role of AI in enabling non-technical users to design and deploy systems seamlessly.

August 10, 2026Episode 10646 min

Explainable AI w/ James Duez of Rainbird

In this episode, James Duez, CEO of Rainbird, dives into the intricacies of how knowledge and context are represented within AI systems. We explore how structured knowledge graphs, deterministic reasoning engines, and hybrid architectures can elevate AI decision-making and trustworthiness. Whether you're a product manager, AI developer, or business leader, this conversation clarifies how to architect AI solutions that are explainable, auditable, and reliable. The distinction between case context (transaction-specific data) and policy context (knowledge and rules) in AI systems. How Rainbird leverages knowledge graphs and ontologies to formalize and reason over policy and tacit organizational knowledge. The limitations of large language models (LLMs) in reasoning and the importance of keeping them outside the core decision logic. The role of inference engines in building deterministic, auditable AI decision layers grounded in policy and knowledge. The evolution from traditional knowledge management tools like SharePoint to advanced knowledge elicitation and modeling using AI. The concept of knowledge as a first-class citizen in AI architecture, enabling faster and more reliable decision-making. The risks of relying solely on LLMs, including hallucinations, model drift, and lack of explainability, and how hybrid architectures mitigate these issues. The importance of roles like knowledge engineers and business analysts in managing and architecting organizational knowledge layers. Rainbird's reusable, enterprise-grade platform for building, managing, and reasoning over knowledge graphs, separable from data sources. The future of hybrid AI architectures: combining symbolic reasoning with probabilistic models to balance flexibility and trust.

August 3, 2026Episode 10423 min

Data Management in the Context of AI

In this episode, John Rymer and Rick Greenwald explore the complexities of data copying versus accessing data in place, focusing on performance, freshness, correctness, and consistency. They discuss how these factors impact data management strategies, especially in the context of AI and modern data access challenges. Key Topics Data copying vs in-place access Performance implications of data access Data freshness and latency Data correctness and consistency Distributed data challenges Data governance and compliance

July 27, 2026Episode 10515 min

Francis Rants Episode II: More Ranting!

In this episode, Francis Carden and Rob explore the evolving role of models in software development, AI, and business processes. They discuss how structured models can revolutionize code, automation, and business agility, emphasizing the importance of explicit, understandable, and reusable frameworks. Key topics The role of models in software and AI development How structured models improve maintainability and changeability The impact of AI on code generation and business logic The importance of explicit, understandable models for business agility The potential of models to reduce repetitive work and increase reuse Challenges and risks of unstructured AI-generated code The future of model-driven platforms and AI vendors keywords #Models, #AI, #Software Development, #Business Processes, #Low-Code, #No-Code, #Automation, #Structure, #Reusability, #AI-Generated Code

July 20, 2026Episode 10316 min

Francis Rants!

In this episode, Francis Carden challenges traditional views on software development, reimagining computing, and the future of AI in application creation. Join us for a provocative conversation on how legacy systems are evolving and what that means for businesses today. Keywords Reimagining computing and application development The impact of AI on coding and software creation Legacy systems and their evolution in modern business The role of low code/no code platforms in digital transformation The importance of reusable components and modular architecture

July 13, 2026Episode 10216 min

Data Management: App Dev's Super Power

In this episode, John Rymer and Rick Greenwald explore the complexities of data management, the myth of data duplication, and how to effectively govern and utilize data in modern organizations. Rick shares insights on managing multiple data versions, the importance of metadata, and practical strategies for better data use. Keywords Data as versions, not copies The cost of data storage and duplication The importance of context in data governance Metadata and catalogs for managing data complexity Strategies for managing multiple data versions The misconception of a single source of truth Impact of data governance on decision-making The role of AI and semantic search in data management

July 6, 2026Episode 10134 min

App Gen Platforms w/ John Bratincevic of Zoho

In this episode, we explore the future of AI in application development, platform engineering, and business transformation with expert John Bratincevic from Zoho. Discover how AI is reshaping software platforms, the role of trust and components, and the democratization of software creation. Keywords Impact of AI on platform engineering and application development Role of components and trust in AI-generated software The concept of unified apps and app OS Democratization of software creation through vibe coding The shift from shallow to deep software and hardware integration Business models and the future of AI agents in enterprise

June 29, 2026Episode 10038 min

Antigoni Kourou: Governance in the Age of AI

In this episode, John Rymer interviews Antigoni Kourou about the evolving landscape of vibe coding, governance challenges, quality issues, and the future of AI-driven development. They explore how non-technical builders are shaping software creation and the importance of visibility and governance in this new era. Keywords Vibe coding evolution and terminology Governance and quality issues in vibe coding Impact of AI on software development Shadow AI and visibility challenges Tools and frameworks for quality assurance

June 22, 2026Episode 9936 min

Managing Software in the World of AI w/ Jouke Waleson of Comper

In this episode, Jouke Waleson, CTO and founder of Comper, shares insights on the future of software development, the role of low code, AI-generated code, and how organizations can better understand and manage their software assets. Key Topics The evolution of programming and low code The impact of AI on software creation Dark code and unknown software assets The importance of models and structured code Collaboration between IT and business in software development Technical debt and enterprise software challenges Reusing and restructuring existing software The future role of AI in enforcing best practices

June 15, 2026Episode 9836 min

Jon Higgenbotham: Lovable Vibe Coder

From Low-Code to Vibe Coding: John Higginbotham's Journey and Insights Explore the fascinating transition from low-code platforms to vibe coding through the experience of John Higginbotham, managing partner at Paradigm Inc. In this episode, we delve into how this shift is transforming internal tools, application development, and enterprise strategies. Main topics include: John's unconventional start in culinary arts and transition to low-code development The evolution and differentiation of vibe coding compared to traditional low-code platforms Practical use cases for vibe coding in internal business tools, prototyping, and complex workflows The impact of AI augmentation tools on software development and platform capabilities Cost considerations, vendor lock-in, and the strategic direction for firms embracing vibe coding The influence of evolving business models and market trends on platform adoption