Solo Dev Scraps Failed Multi-LLM Idea, Ships Lightweight Security Kernel for AI Apps
A solo developer spent six months testing a 'mitosis' approach that split tasks across multiple LLMs, only to find it reduced test correctness from 95% to 83% at four to six times the cost across three independent experiments. Rather than ship the flawed feature, the developer deleted it and documented the failure publicly in a FINDINGS.md file. The resulting open-source project, BIOMA, is a lightweight Rust-core kernel with a Python interface designed to harden LLM prompts by stripping secrets, compressing context, and detecting prompt-flood attacks. In testing, the tool reduced a 47,890-token session to 2,022 tokens with roughly 1.6 microseconds of latency, and a 32,317-token flood attack was dehydrated to 13 tokens in 0.6 microseconds with zero secrets leaked. BIOMA is released under the FSL-1.1-MIT licence, which makes the source auditable and auto-converts to full MIT after a set period.
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