What If Your Chip Design Team Moved Like a Single Body?#

Speakers: Khaled Alashmouny, Abduallah Mohamed

• Why: Multi-agent coordination applied to chip design — 30 agents across 10 disciplines on 12-month projects where one miscommunication costs $10–50M and only 14% of chips succeed on first silicon. For a PM with hardware-side interests, this is agentic AI meeting physical-engineering workflows.
• What: A multiplayer agent system built on the Anthropic Agent SDK with three alignment layers: a living spec graph ("System of Intent") that propagates changes and detects conflicts in real time, a tribal-knowledge memory layer compounding methodology across projects, and milestone-aware execution that drives EDA tools with full design context. Based on interviews with 15 practitioners across 8 major semiconductor and EDA companies, with the universal finding that teams need alignment infrastructure, not faster copilots — and a candid account of what broke, since coordination tax applies to AI agents too (from abstract only).
• How: Spec-hierarchy boundaries enforced at the API level; cross-agent invocations via structured, typed, audited tool calls; change propagation and conflict detection over the shared spec graph.
• Where applicable: Chip design is the demo domain and EDA specifics will be domain-locked, but the alignment-infrastructure thesis (shared intent graph + memory + enforced boundaries) generalizes to any long-horizon, multi-discipline engineering organization.