Notes on May 14, 2026
ProgramBench1. A new benchmark that evaluates whether language models can rebuild black-box software systems from scratch.
It was created by Meta, and co-first author John Yang is also the creator of SWE-bench.
Unlike previous benchmarks such as SWE-bench, which work with existing codebases, each ProgramBench task gives the model only a compiled binary and its documentation. The model must then implement a complete codebase that reproduces the original program’s behavior. During this process, the model has no internet access, and decompilation tools are banned.
This is a difficult benchmark. As of today (May 14), only one task had been fully solved by GPT-5.52, giving it a score of 0.5% across the 200 tasks.
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ProgramBench blog: GPT 5.5 high Solves First Instance! ↵
In this fast-changing world of agentic engineering, I thought it would be valuable to record which AI agents I use and how I use them.
In this post, I wrote a snapshot of my AI agent setup in May 2026, covering the coding agents I use, how I configure them, and the harnesses around them.
Zilong Liang・Mesh