7 ЯНВ.

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/

1 ч. 1 мин.

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 мин.

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/

1 ч. 5 мин.

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/

1 ч. 6 мин.

05.11.2025

Is Agentic AI Your New Security Team or Your Worst Nightmare? Marc Hornbeek Weighs In

AI is everywhere in security. But most teams are still stuck in split-screen mode—DevSecOps over here, SecOps over there, everyone pointing fingers when things go wrong. Marc Hornbeek (AKA DevOps-the-Gray) has a better way. The CEO and Principal Consultant of Engineering DevOps Consulting lays out a model for Continuous Security that meets developers where they are and brings security along for the ride. In his book, Intelligent Continuous Security, he talks about turning AI into a watchdog that actually works in real time, across tools and org charts. Marc and Nicky discuss why attacks are slipping right past developers, how to move toward real engineering maturity, and how to stop patching the same problems again and again. If you’re ready to move from firefighting to forward motion, start here. In this episode, you’ll learn: Why dev and security still operate in silosWhat real continuous security looks like with AIHow to make AI your ally instead of a threat Things to listen for: (00:00) Meet Marc Hornbeek (00:21) The AI threat of deepfakes, shadow AI, and real breaches (03:16) SolarWinds, Log4j, and lessons security still hasn’t learned (05:52) Which team really owns risk in the AI era? (09:39) Are today’s AI defenses tomorrow’s biggest vulnerabilities? (11:02) How agentic AI changes the speed and scale of defense (13:18) AI swarms, or when attacks become fully autonomous (15:34) Can AI close the security skills gap or make it worse? (18:04) Mentorship and saving junior engineers in the AI age (25:55) Continuous security vs. DevSecOps (33:59) Alert fatigue and smarter observability for modern pipelines (40:51) The line between helpful AI and dangerous AI (48:49) What a developer’s Monday looks like with continuous security (53:19) How AI-driven zero trust works in practice (57:29) AI’s future in security and why collaboration wins Resources:Marc Hornbeek's LinkedIn: https://www.linkedin.com/in/marchornbeek/Engineering DevOps Counseling website: https://www.engineeringdevops.com/Get a copy of Marc's book, Intelligent Continuous Security: https://www.oreilly.com/library/view/intelligent-continuous-security/9798341615908/

1 ч. 3 мин.

22.10.2025

From Managing NASA Projects to AI Vibe Coding with Jennifer Spykerman

Jennifer Spykerman didn’t just dust off her old dev skills—she rebuilt them using AI. After two decades in leadership, managing multi-million dollar federal programs and complex engineering teams, she opened up a Claude chat and started coding again. Her mission: automate the mess of federal RFP responses with something smarter than copy-paste. In this episode, the DefenseLogic AI CEO and founder shares how she shipped a working MVP that flags compliance gaps, tracks requirements, and speaks fluent bureaucrat, all using AI tooling and a custom-built stack. If your backlog is full of repetitive tasks that no one wants to do, this episode will shift how you think about using AI to get unblocked and ship smarter. In this episode, you’ll learn: How to use agents to get leverage in locked-down environmentsWhat building with Claude and open tools actually feels like soloWhere today’s AI tools break and why it matters for platform teams Things to listen for: (00:00) Meet Jennifer Spykerman (02:04) Re-entering code after 20 years away (05:03) What led her to start coding again (06:40) The real cost of government proposals (10:40) Why she built it herself through vibe coding (15:01) Her AI tool stack and why it works (19:32) Debugging Claude like a junior engineer (22:12) Inside the architecture of her AI tool (28:22) Mastering prompt engineering for consistency (37:23) Handling security risks for government use (42:30) How she cracked FedRAMP and NIST with AI’s help (51:03) Why replacing dev teams is a bad bet Resources:Jennifer Spykerman's LinkedIn: https://www.linkedin.com/in/jenniferspykerman/DefenseLogic AI website: https://www.defenselogicai.com/

1 ч. 2 мин.

08.10.2025

Are We Shipping Code We Don’t Trust? The AI Productivity Paradox with Jason Baum

84% of devs use AI. Only 33% trust it. Why are we pretending this is fine? Jason Baum, Project Leadership at Selenium, is here to say what most won’t: AI is creating as many problems as it solves. Development is faster, sure, but the cost is rising. More bugs. More hallucinations, too. Teams are losing time chasing the promise of AI without fixing the foundation it runs on. In this episode, Jason and Nicky get real about the AI productivity paradox—why developers are feeling slower and what teams can do to get quality back on track without tossing the whole tech out the window. If you’ve been asking yourself, “Am I actually building faster or just debugging more?” this is the reset you need. In this episode, you’ll learn: Why senior devs are the most skeptical AI usersHow AI is shifting the definition of “quality” in codeWhat it takes to turn AI into a teammate instead of a time sink Things to listen for: (00:00) Meet Jason Baum (01:19) Developers are using AI they don’t fully trust (03:15) How hype outpaced AI’s actual capabilities (05:59) The AI calculator analogy: helpful, but dangerous without skill (08:47) Is AI improving or breaking software quality? (11:03) The real purpose of “vibe coding” tools (13:15) Why senior developers are wary of AI’s output (18:45) Critical context: What AI still can’t grasp in code (22:45) The rise of citizen developers using AI tools (25:05) Risks and realities of using MCPs with LLMs (31:20) Can AI-driven testing really catch what matters in code? (34:08) Why AI is better at analyzing tests than writing them (39:25) Why most AI projects fail before they even start (45:12) Preserving developer intuition and problem-solving in the AI era (51:02) Final thoughts: where developer-AI collaboration goes next Resources:Jason Baum's LinkedIn: https://www.linkedin.com/in/jasonebaum/Selenium website: https://www.selenium.dev/

55 мин.

24.09.2025

Your Local Machine Might Be Lying. Ben Potter on AI Agents in Development

Is your local machine lying to you? Ben Potter, VP of Product at Coder, gets real about why AI agents aren’t living up to their potential without the right infrastructure. Developers and platform teams are dealing with bloated systems and inconsistent environments, but the real problem is a missing layer. In this episode, we uncover the key to making AI work: a development stack that’s secure, scalable, and reliable. If you’re tired of wrestling with broken dev environments and want AI to make more sense in your workflows, this episode’s for you. In this episode, you’ll learn:The real reason AI agents aren’t living up to their hypeHow to create a secure and scalable AI development stackWhy your current environment setup is holding you back from AI success Things to listen for: (00:00) Meet Ben Potter(02:40) How AI is evolving from assistant to teammate in workflows(05:03) The Waymo vs. Tesla analogy for agentic AI(10:06) The risks of AI in enterprisess(17:11) Ephemeral environments are crucial for AI agents(22:32) Why enterprises are spending over a million dollars on AI yearly(28:07) How the right infrastructure lets developers use AI as a reliable tool(33:07) Rapid prototyping with AI in product management(37:12) Why “agents are hired, not built”(44:45) AI agents working together: teamwork or chaos?(46:07) How boundaries enable agents and AI to work together(57:38) Will agentic AI ship code by 2026? Resources:Ben Potter's LinkedIn: https://www.linkedin.com/in/bpmct/Coder website: https://coder.com/

1 ч. 2 мин.

12.09.2025

Welcome to the [Dev]olution

Drowning in a sea of tools and productivity hacks that don’t deliver? You’re not alone. 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. We explore the real systems and processes that help developers work smarter, not harder. No buzzwords, just practical strategies to streamline your workflow, avoid bottlenecks, and make the most of your development environment. Whether you’re working solo or with a team, you’ll get an honest look at what’s working in dev productivity and what’s happening next in the industry. Get ready to join the [Dev]olution.

1 мин.

[Dev]olution

Выпуски

Using Al to Boost Dev Efficiency and Innovation with Keiran Sweet

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

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

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

Is Agentic AI Your New Security Team or Your Worst Nightmare? Marc Hornbeek Weighs In

From Managing NASA Projects to AI Vibe Coding with Jennifer Spykerman

Are We Shipping Code We Don’t Trust? The AI Productivity Paradox with Jason Baum

Your Local Machine Might Be Lying. Ben Potter on AI Agents in Development

Welcome to the [Dev]olution

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Welcome to the [Dev]olution

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