APEX-SWE: A Real-World Test for AI Coders
Can AI ship real software?
Meet APEX-SWE, a new benchmark that tests whether frontier AI models can do economically valuable software engineering—not just toy coding puzzles.
- Integration tasks (n=100): build end-to-end systems across cloud primitives, business apps, and infrastructure-as-code.
- Observability tasks (n=100): debug production failures using logs, dashboards, and unstructured context.
Across eight models, Gemini 3 Pro (Thinking = High) ranked first with Pass@1 = 25%. The analysis highlights a key driver of success: epistemic reasoning—separating assumptions from verified facts—plus the agency to reduce uncertainty before acting.
The team open-sources the evaluation harness and a 50-task dev set, inviting the community to build, test, and iterate on AI that can truly ship.
Paper: https://arxiv.org/abs/2601.08806v1
Paper: https://arxiv.org/abs/2601.08806v1
Register: https://www.AiFeta.com
AI SoftwareEngineering DevOps Observability Cloud LLM Benchmark Productivity APEXSWE Research
