Mike Zornek

There’s something deeply frustrating about working under technical leadership that prioritizes ego over excellence. When tech leads take credit for work they didn’t architect, don’t fully understand the systems they oversee, and silence the strongest technical voices in the room, innovation dies. Not because the team lacks talent, but because truth becomes inconvenient. I’ve seen great developers sidelined for asking the hard questions. For pointing out architectural flaws. For challenging decisions that were more about protecting authority than protecting the product. Eventually, they’re labeled “difficult,” “not aligned,” or “not a culture fit.” And sometimes, they’re pushed out entirely. That’s not leadership. That’s insecurity disguised as authority. Strong technical leaders don’t silence great minds, they amplify them. They don’t fear being challenged, they welcome it. They don’t take credit, they distribute it. If your best engineers are leaving or being pushed out, it’s worth asking why. Talent doesn’t walk away from healthy environments. Technical excellence requires psychological safety. And real leadership requires humility.

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I've been thinking about what actually changes when AI makes local iteration cheap. Your implementation team can fix something in an afternoon now. But if it still has to become a ticket, you’re just running the old system faster. The move is letting them ship it - and making it easy for everyone else to reuse and improve what works. That’s when capability starts compounding. https://lnkd.in/ggujETwK

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This was a very thought provoking class. It actually provides a custom playbook on how to think and strategize on creating Agentic workflows.

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I was reminded today, when talking to one of our early adopters, that the best beta testers are often your most excited existing customers. When you're rolling out an alpha or beta product, there’s no better partner than someone who already believes in what you’re building. They’re invested, not just interested. That means: ✅ Faster, more actionable feedback ✅ Direct conversations, not just dashboards and support tickets ✅ A bit more patience when things, inevitably, break When everyone’s aligned that it’s early, experimental, and still evolving, you get to build with real-world insight and a lot more peace of mind. These early partners don’t just test your product, they shape it. And often, they become your biggest advocates. If you're building something new, don’t wait for perfect. Start with someone who's excited to build it with you. 🚀

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I recently had the privilege of being interviewed by Zachary Stephens, for a post he published to https://lnkd.in/eRZP5T_F. We broadly discussed my opinion on the future and direction of AI in the development space, covering some of my broader concerns of the current usage of AI within the development industry. We also delved into how, with the correct system architectural knowledge and selective implementations, we've been able to do some very interesting things with, at CBOS. Go and have a read here: https://lnkd.in/e3AMuJhj

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I was skeptical of "vibe coding" for too long. Name's cringey. Discourse? "AI kills devs" vs. "fancy autocomplete." Then I watched a project manager on my team build a functional dashboard in an afternoon. Real progress. Barely knew software dev intricacies. Just AI + good prompts. That changed everything. I broke it down: What vibe coding is, time-savers, and project-killers. Key insights: → Swaps implementation bugs for sneakier spec bugs → Iteration stage where projects derail → Prompts for pro code (bye, boilerplate) → Must-haves: context files, types, incremental gen → Fails: security, concurrency, architecture   No-hype, Full post here 👇 https://lnkd.in/gzCFsM9d   Tried vibe coding? Win or disaster? 👇 #VibeCoding #AITools #SoftwareDevelopment #Programming #techtalks

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PSA: The age where developers smile and nod - or run - when conversations include "I have an idea for an app..." is over. It still takes time to put together applications, but the amount required is So. Much. Less. Especially when blending different platforms, 3rd party APIs, large codebases, etc. If you're not using AI, you're not doing your job. No excuses. 💪 I anticipate companies that will survive and thrive in the coming years will be those that provide good support, user delight, and of course do what customers need them to do.

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How GSD turns Claude into a self-steering developer The speed at which ClawdBot MoltBot OpenClaw climbed in popularity was quite phenomenal, and for good reason: It has an audience beyond the developer space, especially those who just want to experiment with digital assistance. Todays post continues my journey with GSD, but the LLM agent landscape is changing rapidly and this shooting star caught everyone’s eye. At its core, OpenClaw is a locally hosted, open-source AI assistant that runs on your computer or server. You talk to it through apps you probably already use, like WhatsApp, Telegram, Discord, Slack, Signal, or even iMessage. And it really “does stuff” — sometimes too well. It is a gateway service that maintains WebSocket connections and includes a smart orchestration layer for working with LLM agents. Stay connected for industry’s latest content – Follow Deepthi Talasila #DevSecOps #ApplicationSecurity #AgenticAI #CloudSecurity #CyberSecurity #AIinSecurity #SecureDevOps #AppSec #AIandSecurity #CloudComputing #SecurityEngineering #ZeroTrust #MLSecurity #AICompliance #SecurityAutomation #SecureCoding #linkedin #InfoSec #SecurityByDesign #AIThreatDetection #CloudNativeSecurity #ShiftLeftSecurity #SecureAI #AIinDevSecOps #SecurityOps #CyberResilience #DataSecurity #SecurityInnovation #SecurityArchitecture #TrustworthyAI #AIinCloudSecurity #NextGenSecurity https://lnkd.in/g8YPff7n

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