AI agents fall short on a benchmark of professional engineering

Across 85 engineering assignments, the strongest tested configuration averaged 50.6% despite using 27 million tokens and 63 minutes per task.

Big Tech
Rujun Han · Yufan Zhuang · Arijit Ray · Han Yu · Zoey CuiZhu · George Lee · +7 more

Google Cloud AI Research · Google

Research Digest··2 min read
Han and colleagues introduce PLE, a benchmark that asks AI agents to produce engineering deliverables rather than answer isolated technical questions.

The authors assembled 85 assignments requiring agents to navigate project folders containing PDFs, spreadsheets, drawings, correspondence and logs.

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Research Digest

Written by Alwyn Sage, research editor. Plate by Ollie Flash, picture desk.

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