[Dev]olution

Coder

The development world is cluttered with buzzwords and distractions. Speed, focus, and freedom? Gone. I’m Nicky Pike. And it’s time for a reset. [Dev]olution is here to help you get back to what matters: creating, solving, and making an impact. No trend chasing, just asking better questions. What do devs really want? How can platform teams drive flow, not friction? How does AI actually help? Join me every two weeks for straight talk with the people shaping the future of dev. This is the [Dev]olution.

  1. You Don't Need a Dev Team to Build an App. Just Try and Test with AI

    10 HR AGO

    You Don't Need a Dev Team to Build an App. Just Try and Test with AI

    Marco Martinez went rogue and built a production-ready system with zero coding experience. Six months ago, the only Python Marco knew was a really big snake. Now, as the Community Marketing Manager at Coder, he created a multi-agent system that monitors Discord, processes messages through Llama AI, and routes them to Slack for approval, then sends them back to Discord. And it’s heading to production. In this episode, Marco shares how he solved a real business problem using AI and zero dev skills. He also shows us that vibe coding is the future and anyone can build software by simply tinkering with the right tools. If you think you need to be a developer to build something impactful, this episode will show you how perfectly capable you are with the help of AI as a non-developer. In this episode, you’ll learn: Why non-developers should trust AI to handle the heavy lifting while they focus on solving problemsHow embracing failure and iteration speeds up development and leads to better resultsWhy AI is a game-changer for anyone looking to create real solutions quickly Things to listen for:  (00:00) Meet Marco Martinez (02:48) Why Marco built the bot himself (04:23) The problem with managing Discord messages (08:39) How tinkering with AI led to development (09:17) How AI democratizes software development (12:30) Marco’s approach to vibe coding (13:16) The rise of AI agents as partners (14:41) Learning Git and the branching lesson (19:15) Why PRDs made Marco’s workflow more efficient (22:45) The power of PRDs for non-developers (26:51) How AI sparked Marco’s interest in learning more tech (30:45) How Marco chose Llama AI (35:15) Moving from local development to cloud (43:45) Marco’s plans to bring engineers for production (46:52) Demonstrating the multi-agent system in action (55:15) Using PRDs to speed up development Resources: Marco Martinez’s LinkedIn: https://www.linkedin.com/in/marcomartinez-marketingmanager/ Coder website: https://coder.com/

    1h 4m
  2. Are You Even Using The Right AI Tools? with Caleb Washburn

    18 FEB

    Are You Even Using The Right AI Tools? with Caleb Washburn

    Caleb Washburn didn’t build his career on chasing shiny new tech. From his years as an IT architect to his role as CTO and Founder at MomentumAI, Caleb’s focus has always been on solving real problems.  In this episode of [Dev]olution, Caleb challenges the current hype around Kubernetes, cloud costs, and AI tools, urging us to think beyond the latest trends. With his extensive experience in enterprise solutions, Caleb dives deep into why many companies are getting burned by their cloud strategies and how they can build smarter, more scalable infrastructures. He explains that AI is really about finding the right solutions that actually support your business goals. If you want to build a solid foundation for AI success, check out this episode. In this episode, you’ll learn: Why Kubernetes might not be the right tool for every enterpriseHow to scale AI responsibly and avoid common infrastructure pitfallsThe importance of choosing the right technology for your company’s goals Things to listen for:  (00:00) Meet Caleb Washburn (02:10) Why Kubernetes might not be the right tool (05:30) The real cost of cloud strategies and the danger of overspending (09:45) Why AI isn't the magic solution it's cracked up to be (13:15) How to evaluate the right tech for your business needs (17:00) Avoiding the “shiny tool” trap in enterprise solutions (21:10) Building smarter, scalable infrastructures for AI (25:45) How AI can solve real problems, not just create more hype (30:00) The importance of a solid foundation before scaling with AI (35:30) Practical advice for developers working with AI tools (40:00) Why cloud repatriation is happening and what it means for the future (45:15) How enterprises can avoid common pitfalls when integrating AI (50:00) Final thoughts: Navigating tech trends and focusing on outcomes Resources: Caleb Washburn’s LinkedIn: https://www.linkedin.com/in/calebwashburn/ MomentumAI website: https://www.momentumai.com/

    1h 3m
  3. You’ve Been Writing Code Backwards feat. Ted Young

    4 FEB

    You’ve Been Writing Code Backwards feat. Ted Young

    Ted Young didn’t just write code, he’s been rethinking how we write it for decades.  After working with the likes of Google and Apple, Ted became obsessed with making development more precise and less chaotic. Forget the “code first, test later” approach that most of us fall into. Ted's here to challenge that mindset with Test-Driven Development by breaking it down into actionable steps that save time and save you from the endless debugging trap. In this episode, Ted talks about why specifications are the key to shipping clean code, how AI is teaching us to repeat the same mistakes, and why thinking first can prevent hours of wasted time. Oh, and did we mention he turned his TDD method into a board game? If you’re tired of writing code that never quite meets your expectations, this episode will show you a new, smarter way to work. In this episode, you’ll learn: Why starting with specifications can save you from endless debuggingHow Test-Driven Development (TDD) is more about thinking than just testingWhy AI is amplifying the same mistakes developers already make without clear plans Things to listen for:  (00:00) Meet Ted Young (01:45) The problem with coding without thinking first (05:10) Why "test-first" is the wrong approach (09:00) Ted’s journey from trial-and-error coding to TDD (12:30) How AI is teaching us the wrong workflow (15:45) Why specifications are more important than you think (19:30) Breaking down Test-Driven Development into nine steps (23:50) Turning TDD into a board game (28:10) The challenge of writing clean code with AI (32:05) Why TDD isn’t just about writing tests (36:30) How developers can avoid the "burn toast" scenario (40:15) The real cost of messy, untested code (44:00) The importance of breaking code down into small, manageable steps (48:20) How Ted uses AI to rethink development processes (52:10) Final thoughts on the future of AI and coding Resources: Ted Young’s LinkedIn: https://www.linkedin.com/in/tedmyoung/ Spiral Learning website: https://www.spirallearningllc.com/

    1h 7m
  4. What Happens When a College Robotics Team Refuses To Play Small with Max Bretschneider

    21 JAN

    What Happens When a College Robotics Team Refuses To Play Small with Max Bretschneider

    Robotics clubs aren’t supposed to feel like real engineering jobs, but for Max Bretschneider and his club, they did. He joined his university’s autonomous car team before he ever sat through his first lecture. Five years later, he’s mentoring new builders, competing internationally, and working professionally in autonomous vehicles. Max’s secret to keeping a volunteer-only robotics team alive? A development environment that newcomers can actually use.  In this episode, Nicky Pike sits down with Max Bretschneider to talk about onboarding students with wildly different experience levels, eliminating the hardware barriers that stop people from joining, and why templates became the backbone of a million-line robotics project. If you’ve ever tried to teach someone Ubuntu while your robot is trying to drive into a wall, this one will feel close to home. In this episode, you’ll learn: How a cloud workspace removes the hardware barriers that block new robotics students from learningWhy templates make debugging and version switching faster in large robotics projectsWhat real mentorship looks like when nobody has the full answer Things to listen for:  (00:00) Meet Max Bretschneider (00:42) Why robotics forces developers to learn everything (01:46) How Max discovered Coder at work (03:03) Giving up the local machine for a cloud workspace (05:26) Balancing experience levels inside the robotics club (07:08) Mentoring new developers with open source culture (10:40) The onboarding challenges of running ROS in university clubs (13:20) The impact of varying levels of student experience on the robotics club (15:30) How community keeps robotics teams alive (17:00) The race car challenge that stuck with Max (18:07) The three-wheels-in rule that won them points (20:30) Why hardware and OS requirements block new members (23:06) The pain of switching ROS versions locally (25:10) Teaching students without grabbing the keyboard (30:24) Building and customizing robotics templates in Coder (34:42) The role of simulations in testing and development (39:12) Preparing simulations for competitions (42:09) The importance of developing a strategy post-competition (46:11) How the routine of competition day separates experienced members from newcomers (50:14) The transition to AI-driven robots and the excitement it brings (52:04) How tech companies could better support robotics programs (53:23) Moving towards web-based tools for robotics development (54:33) What being a coder means to Max Resources: Max Bretschneider’s LinkedIn: https://www.linkedin.com/in/max-bretschneider-895351237/ Mercedes-Benz AG website: http://www.mercedes-benz.com/

    58 min
  5. Using Al to Boost Dev Efficiency and Innovation with Keiran Sweet

    7 JAN

    Using Al to Boost Dev Efficiency and Innovation with Keiran Sweet

    What if the technology you once doubted could change the way you work forever? In this episode of [Dev]olution, host Nicky Pike sits down with Keiran Sweet, Service Line Lead at Amdocs Cloud Studio, to talk about his journey from AI skeptic to AI advocate. Keiran shares how bringing tools like Coder into his team’s workflow has changed the way they work, from speeding up onboarding to automating routine tasks. Through their conversation, Keiran reflects on the challenges, breakthroughs, and tangible benefits AI has brought to their development process. He talks about the real-world impact of these tools and why adopting AI in development is no longer just an option but a necessity for staying competitive. Whether you’re still uncertain about AI or already experimenting with it, this episode will give you a deeper understanding of its potential to reshape the future of development. In this episode, you’ll learn: Keiran's personal journey from skepticism to fully embracing AI tools in developmentHow Coder’s AI-driven cloud development environments are boosting efficiency and streamlining processesWhy hands-on experimentation with AI is crucial to unlocking its full potential in real-world workflows Things to listen for:  (00:00) Meet Keiran Sweet (02:00) Keiran’s journey into AI and why he was skeptical (05:15) The turning point that made Keiran embrace AI (08:00) How AI tools like Coder opened new possibilities (11:00) The early skepticism surrounding AI tools (14:30) The role of experimentation in building trust with AI (17:15) Amdocs’ Cloud Studio and how it integrates AI (20:00) Practical examples of AI speeding up developer workflows (23:15) How AI is changing the speed of developer onboarding (26:00) Overcoming initial doubts about the practical use of AI (29:00) The collaboration between developers and AI agents (32:30) Learnings from integrating AI into real workflows (35:45) How AI tools fit into the broader development process (39:00) Advice to developers hesitant about using AI (42:30) Why AI requires maturity before widespread adoption (45:00) The future potential of AI tools in development environments (46:47) Trusting AI and the future of AI in development (48:29) The benefits of integrating AI for real-time problem solving (50:30) Keiran’s thoughts on how AI handles multiple tasks simultaneously (52:00) Overcoming challenges with AI tools in development workflows (54:10) AI’s role in reducing manual coding and improving developer efficiency (57:20) Defining a coder: AI’s growing impact on the development industry (59:15) The future of AI and how to stay ahead Resources: Keiran Sweet’s LinkedIn: https:/.linkedin.com/in/keiransweet/ Amdocs website: https:/amdocs.com/

    1h 1m
  6. This Is Not Vibe Coding, This Is Industrial AI With Noel Jackson

    17/12/2025

    This Is Not Vibe Coding, This Is Industrial AI With Noel Jackson

    Everyone loves a “vibe coded this in a weekend” story. Almost nobody shows you the infrastructure that keeps it from falling over the second you charge a credit card. In this episode, host Nicky Pike sits down with Noel Jackson, founder of Sonica, a zero-platform-fee music platform built by one person using AI agents and Coder workspaces. Noel spent 25 years building products, from early days at WordPress.com to running eight Kubernetes clusters as a CTO. Then he walked away to ship the tool he wanted as a musician: fast uploads, private encrypted storage, timestamped comments on the go, sharing that feels like Google Docs, and a one-click path from first demo to first sale. Instead of chasing “vibe coding,” Noel orchestrates multiple AI agents as if they were a remote team. He writes specs in GitHub, tags an issue, Coder spins up an isolated workspace, and AI does most of the work while he sleeps—payments, audio processing, mobile apps, Kubernetes, observability, the whole stack. If you’ve ever thought, “I could ship this if I had a real team,” this episode will mess with your excuses and show you what industrial-strength AI development can actually look like. In this episode, you’ll learn: How Noel writes specs that let AI agents safely handle 75–95% of a featureWhy ephemeral, resettable workspaces change how far you can trust autonomous agentsHow a voice-first workflow with SuperWhisper leads to better prompts and cleaner code Things to listen for:  (00:00) Meet Noel Jackson (00:18) Why vibe coding clips miss the real story (02:01) Walking away from a CTO role to build Sonica (03:56) What felt broken about existing music platforms (05:06) Turning a “selfish” idea into a real product (06:25) Why Sonica focuses on artists, not VC metrics (07:37) Early beta users, sales, and real-world validation (09:46) Zero platform fees, donations, and paid services (11:31) From failed pandemic MVP to AI-powered rebuild (13:22) When Claude finally became useful for serious dev work (14:39) Handling payments and auth without becoming a vibe coding horror story (17:02) Quitting the keyboard and coding by voice with SuperWhisper (19:58) Getting 75–95% completion from agents in Coder workspaces (22:23) Specs, Playwright, and treating AI like a real teammate (27:40) Inside Noel’s mono-repo, infra stack, and GitHub Actions (49:25) Live Sonica demo and what “being a coder” means now Resources: Noel Jackson’s LinkedIn: https://www.linkedin.com/in/noeljackson Sonica website: https://sonica.music/

    53 min
  7. Is Manual Testing Dead? Why AI Is Exposing Our Blind Spots with Maaret Pyhäjärvi

    03/12/2025

    Is Manual Testing Dead? Why AI Is Exposing Our Blind Spots with Maaret Pyhäjärvi

    We’re in a testing crisis nobody wants to talk about. AI is catching bugs with a single screenshot while developers still say they “can’t test” and testers cling to specs that never reflect the real world. Meanwhile, teams ship code that breaks in production and call it normal. Enter Maaret Pyhäjärvi, Director of Consulting at CGI. A polyglot programmer with nearly three decades in software quality, she’s been challenging testing dogma long before AI arrived. She hasn’t written a manual test case in 20 years. She believes testing is a team skill, not a job title. And she sees AI as the external imagination developers have always needed. Maaret joins host Nicky Pike to break open the identity crisis hitting testing today. They talk through developers who claim they can’t test, testers who lost their ability to explore, and the uncomfortable truth that AI might already be doing parts of the job better. If you’re ready to rethink how testing actually works in 2025, settle in. In this episode, you’ll learn: Why AI exposes gaps in human imaginationHow manual test cases block learning and discoveryWhy does testing become stronger when everyone owns it Things to listen for:  (00:00) Meet Maaret Pyhäjärvi (02:00) Testing not testers revolution (04:30) When experts miss obvious bugs while testing (06:50) Have we lost testing imagination? (08:20) AI's profound impact on testing (10:50) Why manual test cases are heresy (13:00) The voodoo doll presence effect (16:30) Permitting to explore freely (18:30) Pairing developers with testing minds (22:50) Testing for everyone, not just testers (25:00) Serendipity and stubborn problem solving (27:30) Quality engineers in the AI age (29:20) AI as external imagination partner (35:50) Contemporary exploratory testing workflow (43:00) Teaching AI literacy and understanding (48:30) Scaling AI testing at CGI (52:30) Choosing tools versus building processes (56:40) Programming literacy for data masses (59:43) Testing's future in 2027 Resources: Maaret Pyhäjärvi’s LinkedIn: https://www.linkedin.com/in/maaret/ CGI website: https://www.cgi.com/

    1h 5m
  8. Is AI Messing with Our Minds? Breaking Down Its Impact on Mental Health with Dr. Gloria Chance

    19/11/2025

    Is AI Messing with Our Minds? Breaking Down Its Impact on Mental Health with Dr. Gloria Chance

    We’re in an AI-powered mental health crisis. While AI is breaking ground in business, tech, and other industries, it’s also leading to developer burnout, psychological breaks, and a whole lot of fear around job security. Enter Dr. Gloria Chance, founder and CEO of The Mousai Group. A former CIO and recipient of the Most Powerful Banking Award, she’s now paving the way for leadership development powered by principles of creative thinking, mental wellness, and peak performance. She believes that human creativity is now our most valuable currency as we navigate AI in what is now called the Imagination Age. Dr. Gloria joins Nicky to talk about the tech inside human minds, what it means to retrain and stay ahead of AI, and how to bring fairness and transparency back into our systems.  If you’re done with fear and ready to face the AI tsunami head-on, it’s time to lock in. In this episode, you’ll learn: Why we don’t actually feel psychologically safe around AIHow to fight the bias being coded into new techWhat human creativity looks like in the age of AI Things to listen for:  (00:00) Meet Dr. Gloria Chance (02:41) The fear and anxiety that AI causes (06:41) Why we fear AI more than any new tech that came before it (09:41) Losing psychological safety and bringing back imagination (12:21) Why human emotion and connection still matter (14:48) How bias shows up in AI and how humans can fight it (18:26) The importance of human creativity (21:07) Our crises in intelligence and loneliness (28:33) Imagination, human creativity, and AI (33:23) Retraining means more than just learning new skills (42:04) Bringing fairness, transparency, and trust back into the workflow (50:27) How human imagination and AI precision can work together (55:04) AI is not the solution to burnout (59:15) So our systems are breaking down—what’s next? (1:01:21) A future where humans and AI coexist Resources: Dr. Gloria Chance’s LinkedIn: https://www.linkedin.com/in/drgloriachance/ The Mousai Group website: https://themousaigroup.com/

    1h 6m
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About

The development world is cluttered with buzzwords and distractions. Speed, focus, and freedom? Gone. I’m Nicky Pike. And it’s time for a reset. [Dev]olution is here to help you get back to what matters: creating, solving, and making an impact. No trend chasing, just asking better questions. What do devs really want? How can platform teams drive flow, not friction? How does AI actually help? Join me every two weeks for straight talk with the people shaping the future of dev. This is the [Dev]olution.

Information

  • Creator
    Coder
  • Years Active
    2025 - 2026
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © 2026 Coder