tarasovcode
Agents & tools1 min readInfoQ AI/ML

Presentation: Beyond the Harness: Canvas for AI Agents

Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently. …

Save
Share:VKTelegramWhatsApp
Presentation: Beyond the Harness: Canvas for AI Agents
Illustration: Tarasov Code

In brief

  • What: Presentation: Beyond the Harness: Canvas for AI Agents
  • When: November 3, 2026 at 14:00
  • Source: InfoQ AI/ML (media)
  • Topic: Agents & tools

#AI agents#Agents & tools

Prepared by Ilya Tarasov’s Tarasov Code newsroom based on a report by InfoQ AI/ML.

Read next

MIT Technology Review · November 3, 2026How “reverse game theory” could keep AI agents in checkNVIDIA Blog · November 3, 2026Cities Worldwide Build and Scale AI Services With NVIDIA Physical and Agentic AIMarkTechPost · November 3, 2026The Letter Company Releases Letterpress-1: A Coding Agent Built for Growth EngineeringTechCrunch AI · November 3, 2026Y Combinator’s Garry Tan uses AI agents so much, he spends up to $200K a year on tokens