← Back to Model Beat
Research·1d ago·all news from November 11, 2026

JioHotstar Benchmarks Knowledge Bases for AI Coding Agents

JioHotstar evaluated 6 approaches to code retrieval for AI coding agents using SWE, CodeScale Bench, and an internal question-answering harness. Structural search performed well on concrete tasks, while semantic retrieval helped with ambiguous requirements. The findings highlight trade-offs in accuracy, token use, and tool design, underscoring the need to match retrieval tools to task types. By Leela Kumili

Covered by 1 source

Related stories

ResearchAlphaGenome 2: Deciphering how cells read DNA to better understand diseaseNov 11 · 4 sourcesResearchWork at the Frontier: AI’s effect on freelance workNov 10 · 2 sourcesResearchUS data brokers are selling half a billion dollars in RL training environments to Chinese AI labsNov 11ResearchSupporting research on AI and children’s safetyNov 12