Settling scores through your will — it doesn’t end well

After 150+ hours building data.zeeker.sg, I attended SMU's SOLID database launch to see institutional legal data infrastructure in action. I applied my decision framework and made my choice: I'm continuing. Here's what I learned about when solo builders should persist alongside institutions.

The complete technical stack behind Singapore's first public legal news API: zeeker CLI standardizes data collection, Datasette serves SQLite straight from S3, and canned queries make legal research accessible without SQL. Built solo, runs on $6-12/month, designed to scale from 1 to many sources.

I sat in a standing-room-only prompt engineering workshop feeling anxious—not because I was behind, but because I don't use any of these frameworks. Turns out my instinct was right. That same month, the technology shifted from prompts to persistent agent skills

This Hacktoberfest, I'm not contributing code—I'm maintaining my own. Two years after redlines went viral, I'm adapting it for AI agents. The lesson: tools that don't work with AI will fade. Open source needs to evolve with how people actually work.

A new term is making headlines: "workslop"—AI-generated work that looks polished but lacks substance. Research found 40% of workers encountered it last month, costing $186 per employee in cleanup time. For resource-constrained lawyers, you can't spend time fixing what's irretrievably broken.