VQV Signal
According to a post on X by @kbhaskar_95, which summarizes Amazon's BOBA paper by Cuadron and Gupta, ten coding agents average about 95% on isolated requests. The post says only 51% of 20-step chains on a repository pass every hidden test with no feedback. A bare "verification failed" message plus one repair raises that to about 59%. The post also notes that the specs were model-written and not yet human-reviewed.
According to a post on X by @kbhaskar_95, which summarizes Amazon's BOBA paper by Cuadron and Gupta, ten coding agents average about 95% on isolated requests. The post says only 51% of 20-step chains on a repository pass every hidden test with no feedback. A bare "verification failed" message plus one repair raises that to about 59%. The post also notes that the specs were model-written and not yet human-reviewed.
AI-assisted summary based on the listed source.
Summarizing Amazon's BOBA paper (Cuadron, Gupta), the post says ten coding agents average about 95% on isolated requests, but only 51% of 20-step chains on a repo pass every hidden test with no feedback; a bare "verification failed" plus one repair lifts that to about 59%. Specs are model-written and not yet...
Teams using AI coding agents for multi-step repository work may find that single-task results overstate reliability, since success drops sharply over longer chains. The reported repair result suggests feedback loops could matter for long tasks. Readers should watch for the full paper and for human review of the specs, which the post says has not yet happened.
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VQV surfaced this signal because it is recent, relevant to AI Coding Tools, connected to Scobleizer News Pulse (X).
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