Synopsys, Inc. announced new autonomous agentic AI workflows for chip design, developed in collaboration with Microsoft and available for evaluation on Microsoft Discovery. AI is fundamentally reshaping engineering, and Synopsys is building a comprehensive, open agentic AI stack to increase engineering autonomy and accelerate product design from silicon to systems. This week at the 2026 DAC Chips to Systems Conference, Synopsys is showcasing new fully autonomous workflows powered by AgentEngineer™ technology, extending agentic AI from task automation to long-running engineering execution.
This includes Synopsys autonomous workflows on Microsoft Discovery:
- Synopsys fully-autonomous debug closure workflow: A fully autonomous AI-powered verification and root cause analysis (RCA) workflow orchestrated with Microsoft Discovery, brings together domain-specific and task-level agents to identify design failures, automate debug tasks, and accelerate validation— helping engineering teams resolve issues faster and improve silicon quality. Early evaluations show reductions of 25–40% in debug cycle time, saving many weeks of engineering efforts and improving productivity.
- Synopsys fully-autonomous implementation and closure workflow: An autonomous workflow leveraging Synopsys implementation agents and Fusion Compiler on Azure brings together domain-specific and task-level agents to automate implementation quality-of-results (QoR) tuning and closure. Initial results demonstrate improved QoR.
Synopsys, AMD, and Microsoft are enabling AI-powered design workflows that combine large-scale reasoning, domain expertise, and cloud-scale compute to accelerate the development of the next generation of AI infrastructure silicon. Today's milestone builds on the existing collaboration and previously announced agentic specification to RTL workflow, marking the first EDA applications available for evaluation on Microsoft Discovery. Customers can request evaluation access through Synopsys. AMD is actively evaluating the application of autonomous workflows to accelerate the development of their next-generation products.
"AI is reshaping engineering. Together with Microsoft and Synopsys, we're enabling a new generation of AI-assisted design workflows that augment human ingenuity with intelligent automation and optimization," said Alex Starr, AMD Corporate Fellow. "AI driven workflows powered by Discovery and leveraging AI tooling, such as RCA with deep EDA domain knowledge, are a paradigm we see accelerating scaling and deployment, helping improve both design velocity and overall silicon quality."
"We designed Microsoft Discovery to accelerate scientific and engineering innovation with AI, and chip design is an ideal application for Discovery as it addresses one of the most complex engineering challenges on the planet," said Aseem Datar, Corporate Vice President (CVP) of Product Innovation for Microsoft Discovery and Quantum. "We are excited about Synopsys' open, interoperable approach to their agentic platform and the collaborative effort with Synopsys and AMD to make these agentic AI EDA workflows the first available on Discovery."
"As AI-powered systems and hyperscale computing push silicon complexity to unprecedented levels, engineering teams can no longer afford traditional tradeoffs between performance, quality, and development speed," said Ravi Subramanian, Chief Product Management Officer, Synopsys. "Synopsys is addressing this challenge by applying AI capabilities with increasing levels of autonomy to accelerate and transform silicon engineering."
