Human Ingenuity vs. LLMs: Debugging Redis Vector Sets

Redis developer antirez recounts a fascinating debugging experience where he pitted his wits against Gemini 2.5 PRO, a large language model. A complex bug in Redis's vector set (HNSW) implementation, stemming from data corruption leading to inconsistent node links, required a solution beyond a naive O(N²) approach. While Gemini suggested binary search, antirez ultimately devised a creative solution involving an XOR accumulator, further refined by incorporating MurmurHash128 and a random seed. This anecdote highlights the power of human creative thinking in tackling complex problems, showcasing how LLMs can assist but ultimately fall short of human ingenuity in generating truly novel solutions.