[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.

Episódios

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

    5 DE NOV.

    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/

    1h3min

  2. 22 DE OUT.

    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/

    1h2min

  3. 8 DE OUT.

    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/

    55min
  4. Your Local Machine Might Be Lying. Ben Potter on AI Agents in Development

    24 DE SET.

    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/

    1h2min

  5. 12 DE SET.

    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.

    1min

Trailer

Sobre

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.

Informações

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  • Anos de atividade
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  • Episódios
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    © 2025 Coder