ViBench 2.0: A Benchmark for Long-Horizon Software Building
arXiv cs.AIen
arXiv:2611.05620v1 Announce Type: new Abstract: On Replit, our agentic engineering platform, users now build entire products without writing code, through successive feature requests to an agent. Yet existing coding benchmarks evaluate single, fully specified tasks, and many are near saturation. We introduce ViBench 2.0, a benchmark for long-horizon software building that we use to select our platform's models. Its 17 full-stack web products, modeled on widely used software, grow over 241 feature requests and are judged only when finished, as a user would judge them: a browser agent runs 544 test plans, and a build passes only if every plan does, under a grading protocol validated to keep th
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Forskning
- Agenter
Related AI news
- Who May Overrule the Agent? Evidence-Gated Authority in LLM Review InstitutionsarXiv cs.AI · November 5, 2026
- Verified but Vacuous: Three Failure Surfaces of LLM-Driven Verified Code GenerationarXiv cs.AI · November 5, 2026
- Agent Harness Awareness: Turning Verified Telemetry into Operational Control for Tool-Using AgentsarXiv cs.AI · November 5, 2026
- Uncertainty-Aware Resource Orchestration for Agentic AI SystemsarXiv cs.AI · November 5, 2026
- A Feasibility Condition for Confidence-Gated Tiered LLM InferencearXiv cs.AI · November 5, 2026
- Challenge-Aware Knowledge Recruitment with Meta-Agent Supervision for Medical Multi-Agent ReasoningarXiv cs.AI · November 5, 2026