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Shipping Excellence

Shipping Excellence

by Andrew Duncan

SaaS Isn't Dead. The Moat Just Moved.

SaaS isn't dead. UI is. The moat just moved. Assaf Weinberg (Co-Founder & CEO, SetSale) joins Andrew Duncan to dismantle the LinkedIn narratives about software in the age of AI: "code is free," "SaaS is dead," and the founder myth that hiring a developer is the bottleneck. Chapters 00:00 The biggest limit on AI is what you believe it can do 01:23 Building SetSale before AI tools existed 04:31 Supastarter and the portal boilerplate origin 06:47 Why the cost of software isn't zero 07:43 The "I just need a developer" myth 11:09 Every software company is a data transformation engine 13:58 Why SaaS isn't dead 17:08 Capture your data or AI can't help you 22:20 The Austin distributor story: four days to ship 27:34 Artists don't sketch in marble 33:30 A developer's job is specification, not code 44:13 The new bottleneck is customer adoption Topics Why AI made code cheap but didn't make software cheap The "I just need a developer" myth and why it was always a crutch UI as commodity, data and process as the only durable moat Why every software company reduces to a data transformation engine The Austin distributor visit: notetaker, AI PM, Cursor, four days to ship Six-week bets as the new unit of org change What roles look like when designers don't make mockups and developers don't write code The new bottleneck: customer adoption now lags engineering velocity Guest Assaf Weinberg, Co-Founder & CEO, SetSale https://www.setsale.ai/ https://www.linkedin.com/in/assafweinberg/ https://x.com/assafweinberg Resources mentioned Sense and Respond by Jeff Gothelf and Josh Seiden: https://www.amazon.com/Sense-Respond-Successful-Organizations-Continuously/dp/1633691888 Granola (AI notetaker): https://www.granola.ai/ Supastarter (Next.js SaaS boilerplate): https://supastarter.dev/ Cursor: https://www.cursor.com/ Connect Andrew Duncan: https://www.linkedin.com/in/andrew-b-duncan/ Vertice Labs: https://www.verticelabs.io Subscribe Spotify: https://open.spotify.com/show/64yoHwDdhBd0vik2sev6xs Apple Podcasts: https://podcasts.apple.com/gh/podcast/shipping-excellence/id1794200466 YouTube: https://www.youtube.com/@shippingexcellence RSS: https://media.rss.com/shippingexcellence/feed.xml

No one cares about AI. They care about results.

AI doesn't fix your broken processes. It amplifies them. Jason Macht (Whitespace Solutions) joins Andrew Duncan to break down what actually changes — and what doesn't — when you build with AI. Chapters 00:00 Intro 00:40 Guest introduction 02:51 Vibe coding vs. engineering rigor 04:02 AI as amplifier — good and bad processes 04:39 Spec-driven development 06:57 The death of traditional agile 09:35 Agentic systems and guardrails 15:27 New business viability — the solopreneur opportunity 32:09 AI as thought partner and echo chamber risks 49:45 Closing Topics Why AI amplifies good and bad engineering practices equally Spec-driven development: engineering at the speed of thought The difference between vibe coding and production-ready software How solopreneurs can now build niche software businesses without VC Agentic systems, guardrails, and what happens when AI has real-world access Using AI as a strategic thought partner — and avoiding echo chambers Why traditional agile is losing to fast betting cycles Guest Jason Macht — Founder, Whitespace Solutions https://www.whitespacesolutions.ai/ https://jasonmacht.com/ https://www.linkedin.com/in/jasonmacht/ Resources Mentioned Cursor: https://cursor.com/ Replit: https://replit.com/ Bolt: https://bolt.new/ Connect Andrew Duncan: https://www.linkedin.com/in/andrew-b-duncan/ Vertice Labs: https://www.verticelabs.io Subscribe Spotify: https://open.spotify.com/show/64yoHwDdhBd0vik2sev6xs Apple Podcasts: https://podcasts.apple.com/gh/podcast/shipping-excellence/id1794200466 RSS: https://media.rss.com/shippingexcellence/feed.xml YouTube: https://www.youtube.com/@shippingexcellence

The Real Competitive Advantage in an AI World (It’s Not Tech)

In this episode of Shipping Excellence, Andrew Duncan sits down with Christopher Garvis (former AWS manager, worked on CDK) to unpack a core reality of the AI era: AI makes speed cheap, judgment priceless. They start with the practical: how experienced builders are using AI day to day, why “skills” (constrained context + tools) are emerging as the next standard beyond agents, and what happens when heavy integrations like MCP feel slow or token expensive. From there, the conversation shifts to the business implications. If AI compresses the time to ship, teams hit decision points faster, with less time to react. That makes judgment and ownership the highest leverage skills. They discuss why AI amplifies whatever process you already have, why “vibe coding” often hits a ceiling without scar tissue, and why the durable moat is still culture: integrity, follow through, and loving the customer by truly understanding them. They close on the human side of technology: authenticity in a world where it’s harder to know what’s real online, the importance of “third places,” and why remote teams need intentional in person time to build trust and momentum. Topics covered Why AI makes speed cheap, and why judgment becomes the premium skill Skills vs agents: constrained context, tool boundaries, and predictable workflows Parallel AI workflows: running multiple streams across code and content MCP vs lightweight tools: when a CLI beats a server integration Emergent behavior: when the model bypasses tools for simpler paths AGI and what “human” means beyond text: embodiment, emotion, and social bounds AI amplifies process: discipline compounds quality, chaos compounds failure Why ownership still matters: “AI isn’t responsible for outcomes, humans are” Vibe coding, security gaps, and what breaks at real customer scale The new moat: integrity, customer support, follow through, and reputation Authenticity vs perfection in an AI saturated internet Remote work done right: high bandwidth FaceTime, offsites, and trust currency Community and “third places” as technology reshapes connection Key takeaways AI accelerates execution, but it does not remove the need for judgment and ownership. The faster you can ship, the faster weak assumptions and bad decisions compound. Strong engineering discipline gets supercharged with AI; weak discipline gets exposed. Technology is commoditizing, so culture and integrity become defensible advantage. About the guest Christopher Garvis is a veteran engineer and former AWS engineering leader who led the AWS CDK team. He focuses on practical AI workflows, tool constrained systems, and shipping with strong engineering fundamentals. About Shipping Excellence Shipping Excellence is a podcast about building exceptional software products: practical engineering, strong delivery, and the systems that help teams ship. Links Vertice Labs: https://verticelabs.io Follow Andrew Duncan: https://www.linkedin.com/in/andrew-b-duncan/ #ShippingExcellence #AINative #SoftwareEngineering #ProductDevelopment #Leadership #RemoteWork #Agents #Skills #MCP #AWS #StartupExecution

Why Most Software Vendors Fail Operators — And What Good Actually Looks Like

Most software projects drift — scope grows, timelines slip, and clients spend more time managing the vendor than shipping product. Robert Randolph, CEO of Executive Linguist Agency, hired Vertice Labs to build two apps. Both shipped on time. Both on budget. Here's what made it different. Robert runs a professional language services firm with a remote team of interpreters. He needed a HIPAA-compliant messaging platform and an internal iOS app — and he needed them fast. The experience became a useful lens on what actually makes software partnerships work: not charisma, not promises, just execution, clarity, and trust. Chapters 00:00 The first problem: getting an app in the App Store fast 02:50 Hesitations before starting — and why there weren't many 07:38 HIPAA-compliant interpreter messaging: the gap in the market 08:26 "You got us to market so fast I didn't have time to build a sales strategy" 10:01 What no-BS looks like in a pitch 12:20 $40K consulting with nothing to show for it 14:33 Executive Linguist: Vertice Labs' ideal client 17:29 How a Stripe security incident revealed the team's character 19:01 Speed and organization: the biggest differentiator 21:00 "You could have milked us — and you didn't" 24:20 Who should hire a software partner 31:15 What made this client relationship work 35:00 How watching the process improved their internal operations Topics • What makes a software partnership actually work • Clear scope of work as a trust foundation • Transparency, autonomy, and accountability on a dev team • Speed without sacrificing quality • What to look for in a software partner — and what disqualifies one • Building HIPAA-compliant apps for specialized industries Guest Robert Randolph, CEO — Executive Linguist Agency https://www.executivelinguist.com https://www.linkedin.com/in/robert-randolph-a86ab4111 Resources mentioned Linear — https://linear.app Stripe — https://stripe.com TestFlight — https://developer.apple.com/testflight/ Connect Andrew Duncan — https://www.linkedin.com/in/andrew-b-duncan/ Vertice Labs — https://www.verticelabs.io Subscribe Spotify — https://open.spotify.com/show/64yoHwDdhBd0vik2sev6xs Apple Podcasts — https://podcasts.apple.com/gh/podcast/shipping-excellence/id1794200466 YouTube — https://www.youtube.com/@shippingexcellence RSS Feed — https://media.rss.com/shippingexcellence/feed.xml

AI Coding Agents: How Engineers 10x Their Output

In this episode of Shipping Excellence, Andrew Duncan sits down with Aram Hammoudeh, a Principal AI-Native Engineer at Vertice Labs, to explore how AI coding agents are transforming the way software gets built. Aram shares what it feels like to go from “grunt developer” to directing a team of AI agents, how tools like Cursor, Copilot, and Claude accelerate delivery, and why the real role of engineers today is shifting toward strategy, architecture, and orchestration. We cover: How AI coding agents give engineers 10x productivity gains The difference between GPT-4.0 and GPT-5 in real development work Why AI is best thought of as a “junior developer” you can delegate to How MCP servers and Linear integrations automate project management Guardrails and feedback loops that keep AI-generated code reliable The mindset engineers need to thrive in an AI-native world Whether you’re a technical leader, founder, or engineer in the trenches, this conversation shows what it really looks like to deliver production-ready software with AI agents as part of the team.

Is GenAI Digital Cocaine? Lessons from a CTO with Sergio Visinoni

In this episode of Shipping Excellence, Andrew Duncan sits down with Sergio Visinoni — a seasoned technology leader turned solopreneur, advisor, and fractional CTO. Sergio shares insights from his provocative article “Is GenAI Digital Cocaine?” and explores the parallels between generative AI, social media, and productivity hacks that may carry hidden costs. We dive into: Why Sergio believes over-reliance on GenAI could weaken cognitive skills The lessons he brings from 20+ years as a software engineer, VP of Engineering, and CTO His journey from corporate leadership to solopreneurship and advisory work How his newsletter Pseudo Make Me a CTO helps engineering leaders grow The balance between productivity gains and long-term impacts of new technologies About Sergio Visinoni: Sergio is a solopreneur in the tech space with over two decades of experience. He advises companies as a fractional CTO, coaches engineering leaders, and writes the popular newsletter Pseudo Make Me a CTO. Links & Resources: GenAI is Digital Cocaine Article: https://makemeacto.substack.com/p/is-genai-digital-cocaine Connect with Sergio on LinkedIn: https://www.linkedin.com/in/piffio/ Read Pseudo Make Me a CTO: https://makemeacto.substack.com/ Subscribe to Shipping Excellence for more conversations on building and shipping exceptional software products.

From Startup Chaos to $50M: How Wonder Cave Built a World-Class Tech Team

What does it take to turn a struggling product launch into a $50M success? In this episode, Wonder Cave President Webb Bostick reveals the leadership moves, technical pivots, and team-building strategies that made it happen. You’ll learn: How to embed technical leadership that drives focus and results The keys to building a lean, high-performing engineering culture Why “hire the right people” beats “hire more people” every time How Wonder Cave scaled to handle Fortune 50-level clients Real-world examples of moving fast without sacrificing quality Whether you’re leading a startup, scaling a product team, or navigating complex builds, this conversation is packed with practical insights you can apply right now.

How AI Agents Will Reshape Business & Software Development w/ Drew Burdick

In this episode of Shipping Excellence, host Andrew Duncan sits down with Drew Burdick, Managing Partner of StealthX, and co-author of the AI North Star Playbook. They dive into how businesses should think about AI adoption, the rise of AI agents, and how solopreneurs and enterprises alike can leverage AI to drive efficiency and growth. The discussion covers everything from practical AI implementations, agentic workflows, the evolution of work, and the massive opportunities AI presents for early adopters. Key Topics Discussed AI North Star Playbook – Why most companies approach AI the wrong way and how the playbook helps leaders identify high-impact opportunities. Experimentation Over Hesitation – Why business leaders need to test and learn with AI tools rather than waiting on perfect clarity. AI Agents & Workflows – Understanding what makes an AI implementation an "agent" vs. just AI augmentation in workflows. Real-World AI Success Stories – From legal redlining automation to AI-powered RFP evaluation and outbound sales AI. The Future of Work & Solopreneurship – How AI will enable one-person unicorns and disrupt industries that rely on manual digital labor. Strategic Thinking for Builders – Why software engineers, product leaders, and businesses must rethink how they deliver value in an AI-powered world. AI’s Role in Product Development – How AI is reshaping design, engineering, and shipping software at an accelerated pace. Chapters 00:00 Introduction to AI and the North Star Playbook 03:02 Current Trends in AI Adoption 05:53 AI in Business Processes 08:37 Success Stories in AI Implementation 10:59 The Future of AI in Customer Service 13:26 The Evolution of Business with AI 15:51 Mapping Value Streams with AI 18:40 The Role of Human Insight in AI Development 20:38 Embracing Change in the Age of AI 23:56 The Rise of Solopreneur Unicorns 26:18 AI in Education: A Real-World Success Story 28:40 Democratization of Business: The New Age of Entrepreneurship 30:37 Differentiation in a Noisy Market 32:34 Understanding Customer Needs for Product Success 33:29 Agentic Workflows: The Future of AI 39:06 The Evolution of AI Agents in Business 41:57 Building AI Workflows: From Simple to Complex 44:15 The Future of AI: Hands-Off Interfaces and AGI Resources Mentioned 📖 AI North Star Playbook – Get the roadmap for building AI-powered solutions. 📚 Range by David Epstein – A must-read on why generalists thrive in specialized fields. 🔗 More resources & insights: verticelabs.io

From CFO to CTO: Building High-Impact Teams with John Main

In this episode of the Shipping Excellence Podcast, Duncan speaks with John Main, founder of Farsight, about his journey from finance to technology leadership. John shares insights on building effective teams, navigating the challenges of product management, and the importance of aligning finance with development. He discusses his experiences at Modernizing Medicine and Strax, emphasizing the need for clear communication, prioritization of features, and maintaining team morale in high-stress environments. The conversation highlights the critical balance between innovation and resource management in tech startups. Takeaways John transitioned from finance to product management, learning to communicate effectively with developers. Building a supportive team culture is essential for innovation and success. Understanding business value is crucial for delivering features that meet customer needs. Prioritizing work requires balancing immediate customer demands with long-term product vision. Leadership involves getting in the trenches with the team and understanding their individual goals. Effective communication between finance and development can drive better product outcomes. Investing in QA and automation is necessary for scaling development processes. Trust and transparency within the team foster a high-performance environment. Finding common ground between visionary ideas and practical execution is key to success. Chapters 00:00 Building a Team at Modernizing Medicine 09:28 Transitioning from Finance to Product Management 17:02 Prioritizing Features and Managing Expectations 27:07 Finding Common Ground Between Development and Finance

AI Hype vs. Reality: Lessons from 2024 and Predictions for 2025

In this episode, Andrew Duncan discusses the emerging trends in AI and software development as we approach 2025. He highlights the shift towards in-house AI solutions, the importance of ecosystems in maximizing AI's impact, and the evolving nature of training architectures. The conversation emphasizes the need for interconnected frameworks that foster collaboration and innovation in the tech ecosystem. Takeaways We're entering the year of agent experimentation. Companies are building in-house AI solutions at nearly double the rate. The hype around AI is similar to blockchain, but for a real reason. Ecosystems are more important than ever. It's about creating interconnected frameworks. Successful ecosystems allow for seamless collaboration. Training architectures are evolving to work with what's possible. We're seeing a slowing pace of new AI capabilities. Bespoke solutions tailored to their needs are essential.

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