Prasanna Sankar on Bottlenecks in Coding Agents

AI Engineer20m 6s
Prasanna Sankar beside the headline MERGE IS THE BOTTLENECK on black.
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    Prasanna Sankar argues that long-running coding agents need cloud environments that reproduce dependencies and support testingEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria.. He describes his company’s approach to setup, planning and orchestration.

    Prasanna Sankar identifies testing, code review and merging as bottlenecksCode review examines proposed source changes to assess their correctness, clarity and suitability before or around integration. when parallel agents produce changesA multi-agent system contains multiple AI agents that interact, coordinate, divide work, or influence one another while pursuing tasks.. He describes review agents, staging environments and a merge queue as proposed solutions.

    Prasanna Sankar presents his company’s proactive agent product and discusses risks including noisy pull requests, unresolved root causes and runaway cost. His product claims and predictions are his own, not independent evaluations.

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    Video topic coverage

    • Agents & workflows94
    • Coding & tools100
    • Models & learning0
    • Infrastructure & compute56
    • Research & evaluation46
    • Safety & security23
    • Business & productivity39
    • Creative & media0
    • Robotics & perception0
    • Society & policy0

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    Prasanna Sankar beside the headline MERGE IS THE BOTTLENECK on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 10 November 2026 and duration 20m 6s.

    Prasanna Sankar describes the workflow bottlenecks he sees as coding agents run more tasks in parallel.