My Blog built with Astro and Expressive Code.https://100-mark.com/https://100-mark.com/posts/notebook-lm-the-most-powerful-ai-tool-you-re-not-using/https://100-mark.com/posts/notebook-lm-the-most-powerful-ai-tool-you-re-not-using/ While the world was obsessed with ChatGPT and Gemini’s chat interfaces, Google quietly turned NotebookLM into a full-scale **content production studio**. As of 2026, it doesn't just summarize your PDFs; it builds your videos, designs your infographics, and prepares your board-ready presentations.Sun, 01 Mar 2026 17:00:00 GMThttps://100-mark.com/posts/the-schemaless-paradox-how-our-io-t-platform-buckled-under-its-own-weight/https://100-mark.com/posts/the-schemaless-paradox-how-our-io-t-platform-buckled-under-its-own-weight/We’ve all been sold the dream of "schemaless" databases. In the high-velocity world of IoT, the promise is irresistible: just dump your sensor data and query it. No rigid schemas, no friction—just pure, unadulterated agility.Sat, 28 Feb 2026 17:00:00 GMThttps://100-mark.com/posts/why-the-ai-future-isn-t-as-dark-as-portrayed/https://100-mark.com/posts/why-the-ai-future-isn-t-as-dark-as-portrayed/Optimism Amid the RevolutionIn a recent article on X by Matt Shumer, the CEO of HyperWriteAI, he paints a stark picture of AI's rapid advancement leading to massive disruptions, including widespread unemployment and societal upheaval. While his piece is thought-provoking and urges preparation for big changes, I believe the reality won't be as bleak as portrayed. Like every major technological revolution in history, AI will create far more opportunities than it destroys. Thu, 26 Feb 2026 17:00:00 GMThttps://100-mark.com/posts/the-muc-meltdown-when-vorsprung-durch-technik-froze-over/https://100-mark.com/posts/the-muc-meltdown-when-vorsprung-durch-technik-froze-over/Early December in Bavaria usually evokes images of Christkindlmärkte and a light dusting of snow. But for the aviation world, Munich Airport (MUC) recently provided a masterclass in operational collapse. Wed, 25 Feb 2026 12:30:00 GMThttps://100-mark.com/posts/ai-assisted-development-in-2026-the-antigravity-era/https://100-mark.com/posts/ai-assisted-development-in-2026-the-antigravity-era/hree months ago, we established the rules of Session Hygiene. Since then, the landscape has shifted at a breakneck pace. With the launch of Google Antigravity and the simultaneous leaps from Anthropic and OpenAI, the baseline for "outstanding" has been rewritten once again. Mon, 23 Feb 2026 17:00:00 GMThttps://100-mark.com/posts/the-prompt-add-on-that-saves-my-code-reviews/https://100-mark.com/posts/the-prompt-add-on-that-saves-my-code-reviews/If you and your team are using tools like **Claude-Code**, **Antigravity**, or **GitHub Copilot**, you’ve likely encountered that awkward moment during a code review. You submit a PR, and a teammate comments: *"Did the AI write this? It’s super long/unreadable/bloated."* AI is incredibly powerful, but its default "personality" often leans toward verbosity and generic patterns that don't always align with your specific team standards. To solve this, I started using a specific "Prompt Add-on" that forces the AI to look at local project context before it writes a single line ofSun, 01 Feb 2026 17:00:00 GMThttps://100-mark.com/posts/the-mc-kinsey-trap-why-team-chemistry-trumps-individual-metrics/https://100-mark.com/posts/the-mc-kinsey-trap-why-team-chemistry-trumps-individual-metrics/When I first read the McKinsey & Company report, "Yes, you can measure software developer productivity," I felt a familiar sense of corporate unease. While the desire for leadership to quantify the "black box" of engineering is understandable, the report’s framework risks steering us toward a hollow version of productivity that ignores the soul of software development.Mon, 29 Dec 2025 17:00:00 GMThttps://100-mark.com/posts/beyond-the-buzz-why-data-quality-is-the-new-architectural-frontier/https://100-mark.com/posts/beyond-the-buzz-why-data-quality-is-the-new-architectural-frontier/Data quality is no longer a "cleanup" task—it’s a prerequisite for AI and reliable software. I’m proud to be a contributor to the new open-access book, “Data Quality for Software Engineers – Part I: Fundamentals” by Prof. Dr. Roland Petrasch and Richard Petrasch. This isn't just theory; it’s a hands-on guide to building Quality-by-Design systems. If you want your AI pipelines and BI reports to actually work, this is your roadmap.Sun, 14 Dec 2025 17:00:00 GMThttps://100-mark.com/posts/ai-assisted-development-in-2025/https://100-mark.com/posts/ai-assisted-development-in-2025/Your feedback captures a critical transition in how we interact with LLMs. While the cost and quality of models like Gemini have reached outstanding levels, the "infinite" nature of the chat remains a technical illusion governed by the physics of context windows.Thu, 30 Oct 2025 17:00:00 GMT