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334 results for “romanoroth”
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RE: https://mastodon.social/@leanpub/115704063882806047
Boosting this. @leanpub just featured The Cybernetic Enterprise Course on their homepage
If you’re working on platform engineering, operating models, or making your organization AI-ready: this is for you.
Link in the original post. Feedback + questions welcome.
#CyberneticEnterprise #PlatformEngineering #DevOps #DigitalTransformation #Leanpub
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Architectural debt is more than messy code.
As a dev, “technical debt” meant hacks. As an enterprise architect, I see debt across layers:
• Apps/infra: overlapping systems
• Business: fuzzy ownership, outdated processes
• Strategy: misdefined capabilities that derail changeOur job as EAs: make this debt visible, map AS-IS vs TO-BE, and be ready when the org is.
Great read by Frederick Vanbrabant: https://buff.ly/nd7ojOA
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Friday Fun 🤣
Moving User Stories to the next sprint...
#fun #humor #meme #fridayfun #fridayhumor #Agile -
🤔 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗻𝗼𝘁 𝗺𝗮𝗸𝗶𝗻𝗴 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗱𝗮𝘁𝗮, 𝘆𝗼𝘂'𝗿𝗲 𝗷𝘂𝘀𝘁 𝗴𝘂𝗲𝘀𝘀𝗶𝗻𝗴.
Modern enterprises must move from assumption-driven to insight-driven decision-making.
🔹 Real-time observability
🔹 Continuous feedback loops
🔹 Data-informed decisionsInsight isn’t a buzzword—it’s a capability that powers agility, innovation, and resilience.
Let’s stop guessing. Let’s build enterprises that know. -
𝗙𝗿𝗼𝗺 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝘁𝗼 𝗖𝘆𝗯𝗲𝗿𝗻𝗲𝘁𝗶𝗰
Just read “The Non-Human Enterprise” by Gassmann & Wincent (CMR, 2025). They describe agentic enterprises built on autonomous AI agents.
From my Cybernetic Enterprise lens, the point isn’t “non-human” orgs, but socio-technical systems where humans + AI agents co-regulate via clear goals, feedback loops & governance.
Link: https://buff.ly/VhnY67i
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𝗙𝗿𝗼𝗺 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝘁𝗼 𝗖𝘆𝗯𝗲𝗿𝗻𝗲𝘁𝗶𝗰
Just read “The Non-Human Enterprise” by Gassmann & Wincent (CMR, 2025). They describe agentic enterprises built on autonomous AI agents.
From my Cybernetic Enterprise lens, the point isn’t “non-human” orgs, but socio-technical systems where humans + AI agents co-regulate via clear goals, feedback loops & governance.
Link: https://buff.ly/VhnY67i
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𝗙𝗿𝗼𝗺 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝘁𝗼 𝗖𝘆𝗯𝗲𝗿𝗻𝗲𝘁𝗶𝗰
Just read “The Non-Human Enterprise” by Gassmann & Wincent (CMR, 2025). They describe agentic enterprises built on autonomous AI agents.
From my Cybernetic Enterprise lens, the point isn’t “non-human” orgs, but socio-technical systems where humans + AI agents co-regulate via clear goals, feedback loops & governance.
Link: https://buff.ly/VhnY67i
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𝗙𝗿𝗼𝗺 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝘁𝗼 𝗖𝘆𝗯𝗲𝗿𝗻𝗲𝘁𝗶𝗰
Just read “The Non-Human Enterprise” by Gassmann & Wincent (CMR, 2025). They describe agentic enterprises built on autonomous AI agents.
From my Cybernetic Enterprise lens, the point isn’t “non-human” orgs, but socio-technical systems where humans + AI agents co-regulate via clear goals, feedback loops & governance.
Link: https://buff.ly/VhnY67i
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Friday Fun 🤣
Digital Infrastructure vs. AI
#fun #humor #meme #fridayfun #fridayhumor #AI -
🚨 Most features are wasted.
In the age of AI, we’re not just scaling value — we’re scaling waste.
⚠️ 70–90% of software features never get used.That’s not inefficiency — it’s a silent killer of innovation and morale.
In my new chapter “Minimize Waste” from The Cybernetic Enterprise, I explore how product discovery, lean thinking, and AI can turn waste into wisdom.
#CyberneticEnterprise #AI #LeanThinking #DigitalTransformation
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🤖 “𝗝𝘂𝘀𝘁 𝘁𝗮𝗹𝗸 𝘁𝗼 𝗶𝘁.”
Peter Steinberger’s mantra for real-world 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — and honestly the best AI dev advice I’ve read all year.
A solo dev runs a 300k LOC TypeScript codebase with just a few GPT-5-Codex panes. No wrappers. No harnesses. Just natural language, fast iteration, clean commits.
AI isn’t just an assistant — done right, it’s a team. 💡
#AIEngineering #LLM #OpenAI #AgenticWorkflows #SoftwareEngineering
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🤖 “𝗝𝘂𝘀𝘁 𝘁𝗮𝗹𝗸 𝘁𝗼 𝗶𝘁.”
Peter Steinberger’s mantra for real-world 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — and honestly the best AI dev advice I’ve read all year.
A solo dev runs a 300k LOC TypeScript codebase with just a few GPT-5-Codex panes. No wrappers. No harnesses. Just natural language, fast iteration, clean commits.
AI isn’t just an assistant — done right, it’s a team. 💡
#AIEngineering #LLM #OpenAI #AgenticWorkflows #SoftwareEngineering
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🤖 “𝗝𝘂𝘀𝘁 𝘁𝗮𝗹𝗸 𝘁𝗼 𝗶𝘁.”
Peter Steinberger’s mantra for real-world 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — and honestly the best AI dev advice I’ve read all year.
A solo dev runs a 300k LOC TypeScript codebase with just a few GPT-5-Codex panes. No wrappers. No harnesses. Just natural language, fast iteration, clean commits.
AI isn’t just an assistant — done right, it’s a team. 💡
#AIEngineering #LLM #OpenAI #AgenticWorkflows #SoftwareEngineering
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🤖 “𝗝𝘂𝘀𝘁 𝘁𝗮𝗹𝗸 𝘁𝗼 𝗶𝘁.”
Peter Steinberger’s mantra for real-world 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — and honestly the best AI dev advice I’ve read all year.
A solo dev runs a 300k LOC TypeScript codebase with just a few GPT-5-Codex panes. No wrappers. No harnesses. Just natural language, fast iteration, clean commits.
AI isn’t just an assistant — done right, it’s a team. 💡
#AIEngineering #LLM #OpenAI #AgenticWorkflows #SoftwareEngineering
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🤖 “𝗝𝘂𝘀𝘁 𝘁𝗮𝗹𝗸 𝘁𝗼 𝗶𝘁.”
Peter Steinberger’s mantra for real-world 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — and honestly the best AI dev advice I’ve read all year.
A solo dev runs a 300k LOC TypeScript codebase with just a few GPT-5-Codex panes. No wrappers. No harnesses. Just natural language, fast iteration, clean commits.
AI isn’t just an assistant — done right, it’s a team. 💡
#AIEngineering #LLM #OpenAI #AgenticWorkflows #SoftwareEngineering
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🤖 LLMs Aren’t the Product. Systems Are!
Marc Brooker nails it: the power of AI isn’t in isolated models — it’s in systems built around them.
🔹 LLM + Code Interpreter = logic execution
🔹 LLM + SMT Solver = reasoning
🔹 LLM + DBs = real-time intelligenceThis is systems thinking in action — modular, adaptive, and cybernetic.
The future of AI isn’t smarter models. It’s smarter systems.#AI #SystemsThinking #CyberneticEnterprise
🔗 https://buff.ly/QiQclnc -
Friday Fun 🤣
Quality is poor. What can we do about it?
#fun #humor #meme #fridayfun #fridayhumor #quality -
👁️ Focus is what happens when you say no 999 times before you say yes.
In the age of AI, the real power lies in knowing what not to build. Great outcomes come from doing less — better.
📘 From my book The Cybernetic Enterprise — a chapter on Focus as a strategic superpower for modern orgs.
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Next DevOps Meetup Zürich – performance, DevSecOps & networking 🚀
📅 Thu 19 Feb 2026, 17:30–20:30
📍 Digicomp Academy AGTalks on building a performance culture (Josef Mayrhofer) + New DevSecOps in the GenAI era (Kevin S Perera), plus networking & drinks.
Details & free registration:
https://buff.ly/BWCNvN8#DevOps #DevSecOps #PerformanceEngineering #GenAI #Zurich #Meetup
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Is your factory AI-ready or stuck in Industry 4.0?
Resilient factories need more than automation: real human-machine-AI collaboration.
What it takes:
• data-driven production
• platform-based architecture
• learning loops with feedback
• humans as orchestrators, backed by explainable AIThat’s the shift to a Cybernetic Enterprise.
My latest article:
DE https://buff.ly/rZmBG22
EN https://buff.ly/6nOuOHD#AI #Industry40 #CyberneticEnterprise #DigitalTransformation #Leadership
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𝗧𝗵𝗲 Cybernetic Enterprise Course is live! 🚀
Most enterprises deliver fast. Few adapt at scale. I’ve packaged my operating model into a practical end-to-end course: 3h of video + framework (Principles→Practices→Platform→Outcomes), diagnostics, and steps you can apply immediately.
Release offer: $89 (was $179/$249). Includes a free coupon for The Cybernetic Enterprise Complete Edition books.
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Friday Fun 🤣
How API works...
#fun #humor #meme #fridayfun #fridayhumor #API -
🚚 𝗬𝗼𝘂 𝗰𝗮𝗻 𝘀𝗵𝗶𝗽 𝗮 𝗵𝘂𝗻𝗱𝗿𝗲𝗱 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗮𝗻𝗱 𝘀𝘁𝗶𝗹𝗹 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝘇𝗲𝗿𝗼 𝘃𝗮𝗹𝘂𝗲.
We live in a world obsessed with speed. But real value isn’t in code pushed—it’s in problems solved, behaviors changed, and outcomes achieved.
💡 Outputs ≠ Outcomes.
Focus on impact, not volume.More in my book The Cybernetic Enterprise:
🔗 https://buff.ly/5oN6wNz#CyberneticEnterprise #Leadership #AI #Agile #ProductManagement
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🚨 Workslop — the hidden productivity killer in the AI-powered workplace.
AI tools exploded since 2023. More output, less ROI. Why?
Because we’re drowning in AI-generated “workslop” — content that looks polished but lacks depth and context.
💡 Each instance costs ~2h of cleanup.
💸 $9M+ lost yearly in a 10k-person org.GenAI isn’t the problem. Mindless GenAI is.
Use it with purpose — not for shortcuts. -
💥 “𝗜𝘁’𝘀 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗯𝗹𝗼𝘄 𝘂𝗽.”
That’s what Challenger engineer Bob Ebeling said the night before launch. He was right — but no one listened.
The disaster wasn’t about intelligence. It was about unresolved disagreement.
Your team isn’t building rockets, but ignored conflict still causes real damage.
👉 Great read by Daniil Shykhov: How to Resolve 90% of Team Conflicts
https://buff.ly/r7I34uD -
Friday Fun 🤣
We have a DevOps Strategy!
#fun #humor #meme #fridayfun #fridayhumor #DevOps -
🤖 AI That Thinks Like Humans? Not Quite. 🧠
LLMs like GPT claim human-level performance. But which humans?
A new paper (“Which Humans?” by Atari et al.) shows LLMs reflect WEIRD minds — Western, Educated, Industrialized, Rich, Democratic — not humanity at large.
⚠️ The risk? Cultural homogenization, erased diversity, and “human-level” AI that mirrors only a narrow slice of the world.
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🤖 AI That Thinks Like Humans? Not Quite. 🧠
LLMs like GPT claim human-level performance. But which humans?
A new paper (“Which Humans?” by Atari et al.) shows LLMs reflect WEIRD minds — Western, Educated, Industrialized, Rich, Democratic — not humanity at large.
⚠️ The risk? Cultural homogenization, erased diversity, and “human-level” AI that mirrors only a narrow slice of the world.
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🤖 AI That Thinks Like Humans? Not Quite. 🧠
LLMs like GPT claim human-level performance. But which humans?
A new paper (“Which Humans?” by Atari et al.) shows LLMs reflect WEIRD minds — Western, Educated, Industrialized, Rich, Democratic — not humanity at large.
⚠️ The risk? Cultural homogenization, erased diversity, and “human-level” AI that mirrors only a narrow slice of the world.
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🤖 AI That Thinks Like Humans? Not Quite. 🧠
LLMs like GPT claim human-level performance. But which humans?
A new paper (“Which Humans?” by Atari et al.) shows LLMs reflect WEIRD minds — Western, Educated, Industrialized, Rich, Democratic — not humanity at large.
⚠️ The risk? Cultural homogenization, erased diversity, and “human-level” AI that mirrors only a narrow slice of the world.