Adaptive Agent Harnesses: Constraints and Coordination

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    Video summary

    Rajiv Chandegra contrasts predetermined agent harnesses with changing environments involving multiple agents, people and institutions. Fixed roles, tools and handoffs can be reliable and auditable for well-defined problems. The talk does not argue that those strengths should be discarded for every engineering task.

    Rajiv Chandegra uses emergence and relational systems as a design analogy for adaptive engineering. In the proposed approach, the engineer specifies constraints and observes how coordination, specialization and shared conventions develop during execution. This is a forward-looking design thesis, not evidence of a completed general-purpose production system.

    Rajiv Chandegra distinguishes improving an individual agent from improving coordination across a group. Runtime adaptation lies on a continuum with fixed workflows, and differs from merely customizing a tool before a run begins. Selection pressures, boundaries and interaction rates are presented as possible engineering levers.

    Rajiv Chandegra explicitly describes failure modes: a stable arrangement may not be good, weak selection can allow drift, similar agents can form a monoculture, and increased adaptation can reduce legibility and predictability. Those unresolved governance and evaluation problems qualify the proposed benefits.

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    Rajiv Chandegra smiling in a light-blue top with one hand touching his chin, beside the blue-and-white headline “Adaptive Agent Harnesses” on black. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 7 July 2026 and duration 37m 1s.

    Rajiv Chandegra proposes designing constraints for agent coordination that can adapt during execution, while retaining the strengths and acknowledging the risks of fixed workflows.