github.com• Aug 31, 2025• 1 min read
Show HN: 70 days, 800 stars. If AI bugs are not random but math inevitable?hi all. i’ve been shipping a small open project that tries to answer that question with evidence, not vibes. in 70 days it reached \~800 stars. the core claim is simple:many AI failures are not noise. they repeat because the geometry and ordering underneath are stable. if so, we should be able to name each failure mode, set acceptance targets, and stop shipping the same bug twice.### what it is* a compact Problem Map of 16 reproducible failure modes in RAG and agents. * each item has a minimal fix and measurable gates. examples: * Semantic ≠ Embedding: metric and normalization mismatch. accept if coverage of target section ≥ 0.70 and deltaS(question, retrieved) ≤ 0.45 across 3 paraphrases. * Logic Collapse & Recovery: synthesis runs on thin evidence. require a bridge step before answering. * Memory Breaks Across Sessions: new chat loses context. use metadata trace then reattach. * Bootstrap Ordering / Pre-deploy Collapse: shipped an empty or mixed index. block deploy until ingest count