CompileBench: Testing AI Models on Real-World Software Engineering Challenges
By
jakozaur
Front-window bakery material. Catches the eye, delivers the goods.
Summary
CompileBench is a new benchmark that tests 19 state-of-the-art large language models (LLMs) on their ability to handle real-world software engineering challenges, including compiling 22-year-old legacy code, dependency management, and cross-compilation tasks. The benchmark uses unmodified source code from open-source projects like curl to evaluate how well AI models can tackle the messy realities of software development beyond simple code generation.
Key quotes
· 4 pulledWe tested 19 state-of-the-art LLMs on 15 real-world tasks using the unmodified source code of open-source projects like curl
But can they tackle the messy reality of software development – dependency hell, legacy toolchains, and cryptic compile errors?
Today, the best LLMs can generate entire applications from scratch and even win prestigious coding competitions (like IOI 2025)
We created CompileBench to find out how AI models handle real-world software engineering challenges
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