Articles
Technical writings on data science, AI evaluation, simulation, and logistics optimization.
A running log of recurring failure patterns when using LLMs for coding — over-engineering, clumsy solutions, token budget surprises, and more. Each pattern includes when it was first observed and whether it's still present. Extended over time as new patterns emerge.
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A personal history of code completion — from teaching myself QBasic in the 1990s and IntelliJ IDEA in 2001, through GitHub Copilot's leap to intent-based suggestions, to today's agentic coding with Claude Code. What actually changed, and what it means for the developer's role.
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Building an evaluation framework for LLM agents at Meight. When extracting structured shipping data from documents, we learned that evaluation requires both strict metrics (for production readiness) and LLM-as-a-judge (for semantic correctness).
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An experimental evaluation of how 8 models (6 cloud, 2 local) perform on logic puzzles, revealing the gap between pattern matching and first-principles reasoning. Includes complete raw model responses.
🎯 Try Interactive Challenge → Read Full Analysis → 📝 Raw Outputs →
Deep dive into building a large-scale discrete event simulation system for Glovo's global delivery network, covering architecture decisions, performance optimization, and real-world validation.
Read on Medium →Contact: alex (at) goldhoorn.net