Presentation: The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation
Itamar Friedman discusses how architects and engineering leaders can break through the AI productivity ceiling using adaptive multi-agent systems. He shares insights on moving past simple autocomplete to resilient workflows by integrating autonomous testing, intelligent code review, and robust arbitration. Learn how to govern agent communication and build a context-driven SDLC that scales. By Itamar Friedman
Record details
Published: 8 July 2026
Source: InfoQ AI/ML
Category: News
Topics: Jobs & economy · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (8 July 2026), “Presentation: The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation,” evidence record 2724, https://ethics.ai/record/2724 (originally published by InfoQ AI/ML).
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