A researcher at AI2 describes their transition from quantization research to coding agents, detailing how a small team of five researchers and 32 GPUs developed Sera, a method to finetune large language models on private codebases for efficient coding agent deployment. The work eventually scaled to 96 GPUs and enables cheap specialization of models rivaling larger teacher models on private data.