ProgramBench: Can Language Models Rebuild Programs From Scratch?
Turning ideas into full software projects from scratch has become a popular use case for language models. Agents are being deployed to seed, maintain, and grow codebases over extended periods with minimal human oversight. Such settings require models to make high-level software architecture decisions. However, existing benchmarks measure focused, limited tasks such as fixing a single bug or developing a single, specified feature. We therefore introduce ProgramBench to measure the ability of software engineering agents to develop software holisitically. In ProgramBench, given only a program and its documentation, agents must architect and implement a codebase that matches the reference exe...
| Authors | John Yang, Kilian Lieret, Jeffrey Ma et al. |
|---|---|
| Primary category | cs.SE |
| Published | 5 May 2026 |
| Last updated at source | 5 May 2026 |
Connected in the knowledge graph
- eth-sri/tsb-mutantsDataset · cited by
- eth-sri/tsb-reference_testsDataset · cited by
- eth-sri/tsb-reference_implDataset · cited by
Models and datasets referencing this paper
- eth-sri/tsb-mutantsDataset
- eth-sri/tsb-reference_implDataset
- eth-sri/tsb-reference_testsDataset
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