When AI Becomes Part of Your Analog Design Workflow

If you design analog or mixed-signal circuits, each silicon generation asks you to do more. Advanced nodes mean tighter margins, new device behaviors, stricter design rules, and deeper interaction between the circuit, layout, simulation, and verification tasks. Meanwhile, schedules keep shrinking. The time problem is exacerbated by the engineering effort required to set up the EDA tools themselves: creating testbenches, writing scripts, setting up simulations, analyzing results, debugging failures, and repeating the process as requirements change.

This is where agentic AI can help: by reducing the EDA burden so engineers can focus more of their time on IC design, engineering judgment, and design robustness.

Cadence Virtuoso AI Studio, when paired with the Cadence ViraStack AI Super Agent, brings agentic AI directly into the analog and mixed-signal design environment. Instead of treating AI as a separate assistant, Virtuoso AI Studio places it alongside the tools and design context engineers already use, enabling AI to move from providing general answers or optimizing individual tasks to executing and coordinating parts of the design workflow.

Turning Design Intent into Action

Testbench creation illustrates the difference.

A designer may know exactly what needs to be characterized, but translating that requirement into stimuli, measurements, analyses, operating conditions, and simulation configurations can take considerable effort. The same applies when an analysis must be repeated across multiple conditions or modified as the design evolves.

In Virtuoso AI Studio, you can use natural-language interaction to initiate these activities within the design environment, then inspect and refine the resulting setup rather than building every element manually.

See the ViraStack AI Super Agent create a Virtuoso testbench from a natural-language request:

The same approach applies to scripting. You can describe the intended task and have the ViraStack AI Super Agent generate and refine Cadence SKILL code for the Virtuoso environment. Specific Virtuoso API information and design context help make the generated code relevant to the actual task rather than simply plausible, providing a 95% productivity improvement over manual efforts.

Migration Is Where Agentic Workflows Become Powerful

Technology migration is a particularly good example of why workflow-level automation matters.

Moving an analog design to a new process isn't simple device substitution. Device characteristics such as power, sizing, and operating points may need adjustment—constraints can change, and layout requirements can introduce additional dependencies. A migrated circuit that looks structurally correct may still require substantial optimization before it meets updated specifications.

The traditional workflow involves repeated topology mapping, device and constraint translation, parameter adjustment, simulation, analysis, and correction.

The ViraStack AI Super Agent's design migration agent is designed to assist with this sequence, including topology mapping, device scaling, and optimization across technologies.

Cadence has demonstrated the approach in a 6GHz analog/RF PHY migration flow, achieving 60% faster design closure. The value lies in connecting the steps that traditionally require engineers to move between tools, analyses, and iterations manually.

Advanced Engines for Physical Implementation and Optimization

Agentic workflows extend beyond schematic-level tasks into physical implementation and optimization. With ViraStack AI Super Agent, specialized agents coordinate layout, physical verification, extraction, and post-layout optimization using the underlying EDA engines. Multimodal input allows a floorplan to be generated from an image, helping bridge the communication gap between design and layout engineers. The agent proposes placement for review and generates the floorplan only after the engineer approves it.

The underlying layout engine identifies circuit structures in the schematic and generates constraints to guide layout generation. It produces multiple prototypes that include both placement and routing, giving engineers alternatives to inspect and compare. ViraStack AI Super Agent analyzes the candidates and highlights tradeoffs such as the smallest area, fewest opens, and a balanced result, helping engineers choose the appropriate starting point.

Physical verification follows the same engineer-guided approach. Agents can check the full layout for design-rule violations, report the findings, and recommend corrections, while engineers decide which violations to address. For post-layout optimization, the agent checks the DSPF setup, identifies failing specifications, and invokes optimization that accounts for parasitic changes without requiring layout regeneration. Engineers can then request further analysis or debugging of the results, reducing manual coordination across the physical implementation flow while retaining control of design decisions.

Domain Context Matters

An AI system for analog design needs more than a natural-language interface. It needs to understand the design, the tools it operates, and the methodology behind the task. Analog and RF circuits contain relationships between topology, devices, constraints, operating conditions, measurements, and methodology that cannot be captured by simply translating a sentence into an EDA command.

The ViraStack AI Super Agent is built around that context. Its built-in skills and Virtuoso-specific knowledge give agents access to design information and Virtuoso APIs, while the mental model captures design intent, circuit functionality, and methodology knowledge in a structured format. This helps prevent AI hallucinations, improves the accuracy and speed of agent execution, and reduces token usage.

The IP Catalog extends this foundation by supporting the reuse of proven designs and providing a built-in library of hundreds of analog building blocks. Together, these capabilities give agents structured design knowledge that can be applied across workflows, helping make design automation more accurate and efficient.

Agents on Top of Proven EDA Engines

Virtuoso AI Studio continues to rely on technologies such as Cadence's Circuit Simulation and Pegasus Verification Platform, along with the broader portfolio of silicon-proven, foundry-qualified technologies that support design, layout, and optimization.

The AI layer operates on top of that foundation. Agents can determine what action is needed, invoke the appropriate capability, analyze results, and coordinate what happens next. AI may identify a potential issue or suggest a change, but circuit behavior must still be established through simulation and verification.

Agents orchestrate proven EDA engines to analyze and verify. Engineers make the final decisions.

Scaling Expertise Across the Organization

Analog design knowledge is difficult to codify. It lives in design libraries, scripts, methodologies, and in the experience of senior engineers.

Experienced designers can use AI as a force multiplier, delegating repetitive setup, analysis, scripting, and workflow coordination while focusing on architecture, topology, and difficult tradeoffs. Enterprise AI Needs Enterprise Controls

Custom design environments contain proprietary circuit structures, libraries, process information, methodologies, and IP. Any AI capability used in production must, therefore, fit within an organization's security and deployment requirements.

Virtuoso AI Studio is built on the Cadence JedAI Solution and supports secure infrastructure, including cloud-enabled and on-premises deployment models. The ViraStack AI Super Agent can also work with customer-specific design knowledge and proprietary libraries within the customer's controlled environment.

What Changes for the Analog Designer?

Engineers will continue to define what a circuit must achieve, make architectural and topology decisions, evaluate tradeoffs, interpret results, and approve changes. Agents can increasingly take on the work surrounding those decisions, from setting up analyses and generating testbenches and scripts to running defined workflows, analyzing results, supporting migration, and coordinating related tasks.

For that approach to work in custom design, AI needs more than intelligence. It needs domain expertise, established design methodologies, and proven EDA engines grounded in decades of real-world silicon design. Virtuoso AI Studio brings these capabilities together in the familiar Virtuoso environment, with the ViraStack AI Super Agent providing the agentic intelligence and Cadence EDA engines providing the engineering foundation. For analog designers, the opportunity is clear: less time spent managing the mechanics of the design flow means more time for the engineering decisions that matter.

Explore Cadence Virtuoso AI Studio and see how the ViraStack AI Super Agent can support the custom design workflow.