Insights on SME automation, production AI, and reliable engineering systems.
Head-to-head MLX vs PyTorch MPS comparison of Karpathy's autoresearch on an M2 MacBook Pro 16GB. Includes stability tests, a real autonomous agent loop that found a 5% improvement, and a cost analysis of Mac vs cloud GPU.
The honest data on where AI agents work, where they fail, and why engineering discipline matters more than model capability. Covers Paperclip, OpenClaw, autoresearch, EU AI Act compliance, and practical adaptation strategy.
Honest lessons from co-founding VoltVogel: simulation-first development, prototype scoping under pressure, and knowing what you actually built vs what you validated in simulation.
How solving hardware limitations in software took a night-patrol healthcare robot from prototype to CE-ready. State machine refactor, UWB radar, sensor fusion, and the path to safety certification.
First-hand account of shipping 40+ commits across multiple projects with Claude Code. Covers the memory system, sub-agent patterns, testing culture, and honest reflections on where AI coding assistants shine and stumble.
A practical guide to sharing memory, skills, and rules across multiple AI coding tools using MCP knowledge graphs, a universal skill template, and per-tool configuration.
A practical guide for deep tech founders considering fractional CTO services. Covers what the role involves, why deep tech benefits disproportionately, when to go fractional vs full-time, cost comparison for the Berlin market, and what to look for.
Learn how to create and use Claude Code skills: folder structure, YAML frontmatter, progressive disclosure, and when skills beat repeating yourself.
Reliable patterns for merging, splitting, extracting, and watermarking PDFs at scale.
Why typing speed matters, how to measure WPM/CPM, and drills to improve accuracy and ergonomics.
IBAN structure, Modulo 97 checks, and how to prevent failed cross-border payments.
OCR pipeline building blocks, accuracy tips, and validation for invoices, IDs, and forms.
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