BackendForge: Benchmarking Agentic End-to-End Code Generation with Backend Services

Jul 14, 2026

Researchers introduce BackendForge, a benchmark comprising 56 backend generation tasks derived from real open-source applications. The benchmark evaluates whether large language models (LLMs) can generate deployable and behaviorally correct backend services from specifications and OpenAPI contracts. The best-performing model, GPT-5.5, succeeded on 55.4% of tasks under a base oracle but only 28.6% under a more stringent final oracle, highlighting significant challenges for LLMs in producing complete backend services.

Why it matters: BackendForge exposes a substantial gap in current LLMs' ability to generate fully functional backend services, underscoring a key limitation for agentic coding applications.

Full story at: arXiv Software Engineering ↗