Build Faster Test Smarter With Dan Wahlin

AI Agents, Guardrails and Turning Ideas into Products, with Dan Wahlin AI agents can now take an idea to a working deployment faster than ever. Does that make engineering discipline matter less, or more? Dan Wahlin joins Kevin Evans to look at how agents are changing the way software gets built, from Azure and Kubernetes deployments to GitHub workflows, CI/CD and even hardware projects. They talk about why building faster still depends on security, testing, evidence and human judgement. They cover steering agents and weighing alternatives, using deterministic automation to save tokens, and the move from vibe coding to the full software lifecycle. They also get hands-on with Linux and Omarchy, Dan's open-source Agent Buddy desk companion, firmware experiments and repurposing everyday devices. Dan closes with a challenge: use AI as a learning tool, and act on your ideas. Chapters 00:00 Welcome to Code to Cloud 02:08 Dan Wahlin's work across Azure and GitHub 03:57 GitHub's expanding developer ecosystem 04:25 AI-generated code, security and secrets 06:40 AI agents for Azure and Kubernetes deployments 08:44 CI/CD, YAML and managed identities 10:56 From vibe coding to the software lifecycle 14:01 Stacked PRs and code reviews 15:57 Steering agents and evaluating alternatives 18:06 Experience, evidence and guardrails 20:10 Validation, verification and testing 24:16 CI pipelines, quality and token costs 25:33 Deterministic automation and saving tokens 28:14 Omarchy, Linux and agent-driven development 31:23 Agent Buddy and firmware experiments 34:11 Hacking and repurposing everyday devices 37:43 AI as a learning tool: turning ideas into products 40:24 Final thoughts: act on your ideas 43:50 Outro Guest: Dan Wahlin GitHub: https://github.com/DanWahlin Agent Buddy: https://github.com/DanWahlin/agent-buddy LinkedIn: https://www.linkedin.com/in/danwahlin/ X: https://x.com/DanWahlin Host: Kevin Evans LinkedIn: https://www.linkedin.com/in/kevinevans01/ GitHub: https://github.com/kevinevans1 Code to Cloud Website: https://codetocloud.io Blog: https://codetocloud.io/blog/ YouTube: https://www.youtube.com/@Code-To-Cloud LinkedIn: https://www.linkedin.com/company/code-to-cloud Instagram: https://www.instagram.com/codetocloud GitHub: https://github.com/codetocloudorg Listen on Spotify: https://open.spotify.com/show/1iOZfFVamUk7CJPOvtU00v Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/code-to-cloud/id1788423999

How does a nonprofit with an $11,000 annual budget and no paid staff use AI to work smarter? Kevin Evans talks with Sarah Wimberley, enterprise architect and founder of Ulster Technologies, about how nonprofits adopt AI and manage their data. They cover how her team uses AI to audit its website every quarter, why tangled systems are a bigger problem than on-prem vs cloud, and her top three recommendations for any nonprofit. Website: www.codetocloud.io Sarah on LinkedIn:  / sarahfwimberley   Sarah on Instagram: Ulster Tech Like, share and subscribe, and send us your feedback. #CodeToCloud #Nonprofit #AI #EnterpriseArchitecture #datastrategy

Government of Alberta AI Transformation: App Modernization, Open Source, and Digital Government Kevin Evans sits down with Janak Alford, Deputy Minister for the Government of Alberta, to explore how Alberta is using artificial intelligence to modernize legacy applications, accelerate software development, improve cybersecurity, and transform public services.Janak explains the Government of Alberta’s AI strategy, including the Alberta AI Academy, the Velocity White Papers, open source technology, AI agents, and secure development frameworks. He shares how AI is helping the province reduce certain app development and remediation timelines by approximately 20 times, including the modernization of a 25-year-old application in days instead of months.The conversation also explores agentic government, human-centered AI, technical debt, personalized digital services, open source government software, and why AI adoption is becoming essential for productivity, innovation, and Canada’s economic competitiveness. Topics covered Government of Alberta AI transformation AI for government and public-sector innovation Application modernization and legacy systems Alberta AI Academy and workforce training AI agents and agentic government Open source government technology Cybersecurity and fraud prevention AI-powered policy research and data analysis Secure AI development frameworks Technical debt and digital transformation Human-centered AI and personalized user experiences The future of digital government and public services Chapters 00:00 — Alberta’s AI transformation and digital government 01:53 — The Velocity White Papers and Alberta’s AI playbook 03:11 — Open source tools for public-sector innovation 05:01 — Why AI became essential for government delivery 08:04 — The Alberta AI Academy and workforce training 09:06 — Alberta’s reported 20x app modernization gains 12:15 — Cost avoidance and faster public-service delivery 14:38 — AI, cybersecurity, and fraud prevention 17:49 — Rebuilding a 25-year-old application with AI 21:34 — AI for policy research and government decision-making 24:59 — Analyzing open data with AI 27:13 — From code generation to AI agents 28:45 — Why AI needs standards, security, and governance 30:16 — The paint-by-numbers approach to AI development 34:33 — Alberta’s open source policy 38:52 — The future of agentic government 41:44 — AI agents for public servants 42:42 — Personalized interfaces and human-centered AI 45:34 — Reducing technical debt with self-healing systems 47:56 — AI agents and citizen access to government services 48:55 — Government 3.0 and intent-driven digital services 50:51 — Solving post-AI problems with pre-AI thinking 57:40 — AI productivity and Canada’s economic opportunity 59:05 — The impact of compounding productivity gains 61:34 — Why AI adoption is becoming essential 64:22 — AI and the return of the entrepreneur 66:33 — Expanding human capability with AI

What if meal planning could save you money, reduce food waste, and make grocery shopping smarter with AI? In this episode of the Code to Cloud Podcast, Kevin sits down with Jacob Deinum, systems programmer and founder of Annona, to discuss how he's rethinking the way we shop, cook, and manage food. Built with Rust, TypeScript, PostgreSQL, and Docker Compose, Anona is an AI-powered meal planning platform designed to optimize grocery shopping, reduce food waste, and help families save money. Jacob shares the story of building Anona from scratch on a single basement server, creating a scalable architecture with minimal dependencies, and using AI to solve practical, everyday challenges. From determining whether it's more cost-effective to buy pre-made guacamole or make it from scratch, to generating optimized weekly meal plans based on budget, nutrition, pantry inventory, and time, Anona demonstrates how thoughtful software engineering can improve daily life. During the conversation, we discuss: Jacob's background in systems programming Why Rust is the foundation of Anona Building scalable software with a small, efficient tech stack Using AI to personalize meal planning Reducing household food waste through technology Creating new revenue opportunities for recipe creators Lessons learned building a startup as a solo founder The future of programming and AI-assisted software development This episode is for software developers, entrepreneurs, startup founders, and anyone interested in AI, sustainability, food technology, and building products that solve real-world problems. About Jacob Deinum Jacob Deinum is a systems programming expert and startup founder focused on food technology, artificial intelligence, and open-source software. Through Anona, he is building technology that helps make food more affordable while reducing waste across the food supply chain. Links Code to Cloud https://codetocloud.io Code to Cloud Podcast https://codetocloud.io/podcast Anona https://annona.ca/

Accelerating DevOps and AI Integration with Paul Duvall In this episode of Code to Cloud, Kevin Evans talks with Paul Duvall, award‑winning author, software engineer, and AI‑driven DevOps leader. They explore how AI agents, automation, and modern engineering practices are reshaping software development, testing, and deployment. Learn how to build trust in AI systems, accelerate feedback loops, and deliver more reliable software at scale. --- Episode Highlights • Paul’s journey from building large systems to founding Redacted Ventures • Why static analysis, testing, and early feedback loops remain essential • Harness engineering and codifying best practices with Claude Code and Claude MD • The evolution of CI and the value of trunk‑based development • Progressive delivery, feature flags, and trust scores for safer deployments • How AI can monitor production, assist in bug fixes, and feed telemetry back into development • Reducing friction and shrinking queues to speed up delivery • Recommended DevOps resources from Jez Humble, Gene Kim, Martin Fowler, and others • Upcoming industry events including the AI Engineer World Fair Timestamps 00:00 – Introduction and guest credentials 02:00 – Paul’s early days in software engineering and the rise of DevOps 07:15 – The impact of AI on coding and automation practices 12:30 – Implementing harness engineering and codifying best practices 17:00 – Progressive delivery techniques and deployment strategies 22:00 – Resources for DevOps and CI mastery 28:45 – Building trust with AI in production environments 33:00 – Streamlining code review and PR processes with AI agents 38:30 – The importance of feedback loops and shrinking queues 43:00 – Future of AI in software delivery and recommendations --- Resources and Links • Continuous Integration — Paul Duvall https://www.amazon.ca/Continuous-Inte... • The DevOps Handbook — Gene Kim, Jez Humble, et al. https://www.amazon.ca/DevOps-Handbook... • Accelerate — Nicole Forsgren https://www.amazon.ca/Accelerate-Soft... • Martin Fowler’s blog on Continuous Integration https://www.martinfowler.com/articles... • Redacted Ventures https://www.redactedventures.com • AI Engineer World Fair (San Francisco) https://www.ai.engineer/worldsfair/2026

Code To Cloud Presents: Most developers don’t realize how close we are to running powerful, personalized AI models locally without sacrificing privacy, performance, or control. If you’re frustrated with oversized cloud models, rising costs, or AI systems flooding the internet with low‑quality content, this episode offers a grounded perspective on what’s possible today. Kevin Evans sits down with Chris Williams, AWS Hero and Field CTO at Six Feet Up, to explore the future of local AI, open‑source tooling, and ethical development. Chris shares how he moved from traditional data centers to building AI systems that support real societal needs, including climate research, healthcare, and disaster prediction. They discuss how smaller, smarter models can run on everyday hardware, from a MacBook Pro to a single server, eliminating cloud dependency and reducing environmental impact. You’ll hear how a small AI dev shop helped NASA detect lightning strikes within 200 feet, why massive models are often overhyped, and how open‑source projects like OpenCode are reshaping local development. The conversation covers the AI hype cycle, security concerns, deepfakes, and the ethics of autonomous systems, along with practical advice for building your own local AI setup. This episode is ideal for developers, cloud professionals, and anyone interested in building AI that is efficient, ethical, and genuinely useful. Kevin and Chris offer a balanced view of AI’s potential to improve healthcare, fight climate change, and empower individual creators when used responsibly. Guest Bio: Chris Williams is an AWS Hero and the first Field CTO at Six Feet Up, recognized for his work in cloud architecture, AI ethics, and community‑driven technology education. 

Most fintech startups dream of building a bank, but Neo Financial is redefining what’s possible by starting in the cloud.   In this episode of the Code to Cloud podcast, host Kevin Evans sits down with Fahad Zaidi, Director of Software Development at Neo Financial, to discuss how a Calgary startup scaled into one of Canada’s most ambitious digital banks using a tech-first, customer-focused approach.   Fahad shares how Neo Financial built a cloud-native platform designed for speed, scalability, and innovation without the limitations of legacy banking systems. The conversation explores how modern engineering practices, strong developer experience, and disciplined execution allow Neo to serve millions of customers while continuously evolving its products.   In this episode, we discuss:   How Neo Financial built its banking platform using cloud-native infrastructure and microservices architecture How the team reduced developer onboarding from weeks to hours Balancing innovation with compliance, regulation, and security requirements How partnerships with established financial institutions enable rapid fintech growth The role of AI and automation in fraud detection, personalization, and customer experience Why a customer-obsessed mindset is central to Neo’s long-term vision   This episode is ideal for fintech founders, engineering leaders, software developers, and technology enthusiasts interested in modern banking, cloud architecture, and large-scale software systems.   Host Kevin Evans https://www.linkedin.com/in/kevinevans01   Guest Fahad Zaidi https://www.linkedin.com/in/fahadzaidi/   Code to Cloud Podcast https://codetocloud.io   If you’re interested in building faster, smarter, and more customer-centric financial platforms, this conversation offers practical insights into what it takes to challenge established banking models and build the future of finance.

Most AI discussions focus on the technology itself—what's new, what's powerful, what's next. But what if the real transformation lies in how we think about AI, workflows, and our entire approach to problem-solving? Kevin Evans teams up with AI strategist and developer Adam Cooke to explore a revolutionary perspective: AI as an extension of our decision-making architecture rather than just another tool.Adam shares how he visualizes AI agents as non-deterministic state machines—powerful, adaptable, and akin to human reasoning—blurring the lines between workflows, infrastructure, and intelligence. You’ll discover: • How AI-powered workflows mirror the architecture of long-running, resilient systems—scaling, retrying, and decision points integrated into a seamless process • The surprising analogy between agentic workflows and traditional deterministic processes like document indexing or infrastructure automation • Why the future of AI may revolve around creating adaptable, standard-driven agent frameworks—think of AI containers that can be interpreted and rendered in countless ways, breaking down barriers between application and user interface • Practical insights into testing, refining, and trusting AI agents—covering multi-agent orchestration, avoiding bloat, and improving accuracy using innovative frameworks • The counterintuitive importance of focusing on your core problem*—not just the shiny tech—ensuring AI accelerates your goal, not distracts from it This episode is perfect for developers, architects, product teams, and AI enthusiasts looking to rethink what’s possible. Adam’s innovative approach unlocks a vision where AI is not static but a platform-agnostic, decision-making entity that evolves with your needs. Whether you're building AI-driven tools or just curious about the big picture, you’ll walk away with a new lens on AI’s potential—and practical tips to make it real. Follow Adam on LinkedIn, where he's working on upcoming projects to bring these concepts to life. Dive in now to challenge your assumptions and discover how to turn AI from an exotic addition into a fundamental part of your digital architecture. Code To Cloud  

Most organizations overlook the superpower hidden in their teams—translating technical language into business value. Keran McGuire, SVP of AI and Technology Platforms at Canadian Tire, reveals how mastering the art of communication can accelerate your career and solve the toughest tech challenges. Host: Kevin Evans n this episode, Keran shares her unconventional journey from startup innovation to leading AI initiatives at a household name. She dives into how challenging industry silos and embracing empathy through simple gestures—like breaking bread—can create unexpected breakthroughs. You'll discover her proven approach to navigating complex, highly regulated environments like finance, and how to turn communication barriers into opportunities for collaboration and success.We break down the importance of understanding the full-stack tech landscape—not just specialists, but versatile "ninjas" who can adapt across infrastructure, cloud, security, and AI. Keran explains why the future belongs to those who can see the big picture without losing sight of the details. She emphasizes the value of humility, curiosity, and a genuine desire to understand others’ perspectives—key traits that transform team dynamics and drive innovation.The stakes are clear: organizations that fail to bridge the communication gap risk stagnation, lost opportunities, and unresolved crises. Meanwhile, those who master empathy and versatile skills stand to unlock new levels of efficiency, resilience, and growth—especially as AI and cloud technologies accelerate change.If you’re a tech leader, aspiring professional, or someone passionate about making complex ideas accessible and impactful, this episode is your blueprint. Keran’s practical wisdom on leadership, adaptability, and culture will inspire you to reframe challenges as pathways to progress—and remind you that the simplest act of understanding can be transformative. Connect with Keran McGuire on LinkedIn to learn more about her work and advocacy for women in tech. Prepare to rethink your approach to technology and communication—because in today’s fast-changing digital landscape, the best skill you can develop is your ability to relate and translate.    

Discover how cloud enablement, AI, and automation are transforming modern businesses. Join Kevin Evans and Jim Spignardo as they explore practical use cases, governance, and future trends in AI adoption.Key Topics: The evolution of AI in enterprise cloud strategies over the past nine years How Microsoft’s AI and Agent 365 improve visibility, security, and control Practical use cases: from law firms to energy sector automation Building effective AI centers of excellence across organizations Common pitfalls, including misaligned use cases and over-engineering The role of governance, data hygiene, and low-resistance solutions Future outlook: autonomous workflows, agent maturity stages, and blending IoT with AI