Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labs
Jul 7, 2026 · 37:01
Rajiv Chandegra of Annicha Labs introduces adaptive engineering as a design philosophy that moves beyond fixed AI harnesses (like Claude Code, Cursor, or Py) to let multi-agent systems self-organize during runtime. He argues that as models become exponentially more powerful and AI collides with the messy, dynamic real world, pre-engineered static harnesses become brittle. Drawing on complexity science, he contrasts the factory model—reliable but novelty-suppressing—with adaptive engineering, where agents interact locally and the harness emerges as an ongoing output, not a predetermined input. The engineer's role shifts to designing constraints (e.g., rate of coupling, goal reward) and sensing the emergent order, while failures include drift, monoculture, and legibility collapse. This approach targets 'horizontal intelligence'—decentralized coordination among agents—as the key to handling complex, real-world problems that cannot be decomposed into fixed parts.
