Waves of Innovation

Podcast

Every two weeks, join host Deejay as he goes deep with the senior engineers, architects, and product leaders who are building the AI-Native future. These are unfiltered, pragmatic conversations about solving the most pressing challenges in technology today.

Latest Episode

From Tech Stacks to Mindsets: The Psychology of Transformation

0:000:00

Hosted by:

Deejay

Featuring:

Dan Young, Co-Founder at When & How Studios

December 5, 2025

From Tech Stacks to Mindsets: The Psychology of Transformation

ORGANIZATIONAL CHANGETECH PSYCHOLOGYAI ADOPTIONLIBERATING STRUCTURESLEADERSHIP STRATEGY

Host Daniel Jones reconnects with former business partner Dan Young to discuss the critical human element often missing in digital transformations. Reflecting on their journey from Cloud Native consulting to organizational psychology, they explore why technical mandates fail and how professional identity impacts the adoption of AI. The conversation covers practical strategies like Liberating Structures, invitation-based change, and the power of listening to navigate complex power dynamics and build effective, resilient teams.

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Recent Episodes

From Coding to Context Switching: An AI Retrospective

01:01:10

DeejayNov 13, 2025

From Coding to Context Switching: An AI Retrospective

In this episode, Deejay welcomes back Elliott Beatty to discuss the long-term reality of adopting agentic AI coding assistants. While development velocity has soared, the team now faces 'human' challenges like burnout and context-switching fatigue. Elliott explains why frontend teams benefit more than backend engineers and how accelerated coding exposed major bottlenecks in QA and UAT. They also explore the shift toward Model Context Protocol (MCP) servers, the necessity of feature flags, and why strong leadership is crucial for sustainable AI implementation.

AGENTIC AIDEVELOPER BURNOUT

Why AI Isn't Just More Software: A Guide to ML, MLOps, and Reinforcement Learning

01:14:22

DeejayOct 28, 2025

Why AI Isn't Just More Software: A Guide to ML, MLOps, and Reinforcement Learning

Why can't you apply Agile sprints to an AI project? This episode dives into why ML development is 'fuzzy' and non-linear, unlike traditional software. We explore the 'nothing, nothing, something' problem that frustrates engineers and managers alike. Discover the real-world challenges of MLOps, from testing non-deterministic models to deployment. The conversation also breaks down Reinforcement Learning (RL), explaining how it learns from exploration, the high-stakes risks, and its role in training LLMs.

MACHINE LEARNINGMLOPS

AI on Nightmare Difficulty: Secure Code Generation in the US Government

58:30

DeejayOct 8, 2025

AI on Nightmare Difficulty: Secure Code Generation in the US Government

In this episode, Deejay talks with Mike Gehard, Director of R&D at Rise8, a custom software development firm on a mission to create 'a future where fewer bad things happen because of bad software.' Mike explains how they navigate the highly regulated 'nightmare difficulty' environment, from adhering to strict NIST standards to handling classified data. Discover their practical approach to security, including running Claude code in isolated containers, leveraging different secure endpoints like AWS GovCloud, and their ambitious goal to enable a single person to take a project from idea to production.

SECURE AI DEVELOPMENTGOVERNMENT AI

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Meet Our Host

re:cinq UK Partner

Daniel Jones

Daniel Jones is a seasoned technology leader with over 20 years of experience in the industry ranging from working in regulated financial enterprises to founding startups. He brings deep expertise in software delivery, enterprise transformation, and cloud-native practices. As the host of the Waves of Innovation podcast, Daniel engages with industry experts to explore cutting-edge topics that are shaping the future of technology.

Previously a CTO and co-founder, Daniel has delivered keynote talks and worked with organizations across sectors to accelerate value delivery and drive meaningful change. His work combines strategic insight with hands-on experience, making complex challenges approachable for businesses adopting new technologies—especially AI.

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