An indie hacker has developed a cost-effective LLM evaluation system for solo developers, costing approximately £0.20 per run. This system utilizes a small golden dataset of 50-100 input-output pairs from production logs, a judge prompt designed to score responses on accuracy, tone, and format, and a CI gate to block merges if performance degrades significantly. The author suggests using GPT-4o-mini for both the model under test and the judge LLM to minimize costs, estimating that this DIY approach is significantly cheaper than enterprise solutions. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
IMPACT Enables solo developers to implement robust LLM evaluation, reducing costs and improving product quality.
RANK_REASON The article describes a novel, low-cost method for LLM evaluation, akin to a research paper or technical guide. [lever_c_demoted from research: ic=1 ai=1.0]