Instant Hardware Analysis with AI: Meet Copilot's Code Interpreter

Introducing Code Interpreter

Flux Copilot is already the most powerful chat-based AI design assistant for PCB design, but what if we told you it just got even smarter?

Code Interpreter is the newest tool in Copilot’s arsenal. With access to a built-in Python code interpreter, Flux Copilot can now generate and run Python scripts directly in conversation with you. That means that you can automate workflows, analyze data on the fly, and create custom visualizations without leaving the chat interface.

The result? Your team can solve problems more effectively, work faster, and reduce the risk of errors.

Working With Code Interpreter

To work with Code Interpreter, simply ask Copilot to perform an analytical task or solve a problem and, in some instances, specify that you’d like it to use Python in the process.

First, Copilot will meticulously describe the steps it takes and its line of reasoning in solving the problem. Then, it will generate a comprehensive Python script for you accordingly, including everything from library imports to function definitions. Finally, Copilot will use its new Code Interpreter powers to execute the script, exporting the results in whatever format you specify.

With Code Interpreter, Copilot can provide tables, plots, and charts that help you better organize, visualize, and understand your project.

Example Use Cases

Need some examples of the ways that Code Interpreter is a game-changer for Copilot? Check out some of the most compelling use cases we’ve evaluated so far.

Datasheet Equations Documentation and Calculation

EEs often have to refer to datasheets in the design process to figure out device performance specifications, tolerances and ratings.

For example, when choosing current-limiting resistors, like in LED circuits, it's important to design for a specific current flow and power consumption and then size the resistors accordingly based on information in their datasheets. With Code Interpreter, Copilot can use Python to do this analysis for you and then compare your design to the expected results. For example, if a resistor is undersized for an expected power, Copilot can flag this and help you find a better component for your design.

Check out this example in action here.

Sometimes, EEs refer to datasheets to extract equations to guide their design efforts, like in the case of regulator designs.

The process of voltage regulator design requires designers to appropriately size the peripheral components for a given output voltage and current. These values are often based on equations given by the component manufacturer in the datasheet. Instead of manually calculating the needed component values, you can use Copilot’s Code Interpreter to do it for you. Looking at your programmable regulator IC, the design information in its datasheet, and the context of your circuit and project requirements, Copilot creates a Python script that calculates what passive components such as inductor, input and output capacitors and resistor values are ideal. You’ll even get multiple options to pick from, so you maintain freedom in your design choices.

Check out this example in action here.

Design and Review of Analog Filters

Relatively complex mathematical equations govern the behavior of analog filters. Instead of calculating poles and zeros to graph a transfer function manually, ask Copilot to do it for you. Copilot can use Code Interpreter to analyze your circuit, calculate the frequency response, and plot your transfer function. You then have access to a detailed plot to review and Copilot-created design feedback and recommendations based on the results.

Check out this example in action here.

Power Consumption Estimation

Determining your system’s overall power consumption can be tedious and arduous. Done manually, the process entails calculating each component’s power consumption and then adding these up individually to estimate the total system value.

With Code Interpreter, Copilot does it all for you. Copilot can analyze your circuit to understand each component’s power consumption, reading through datasheets where necessary to get reliable figures for active components. Then, it can determine your system’s total power consumption and create charts to help you visualize the major contributors to your system’s power draw.

Check out this example in action here.

‍Improving PCB Design

Another tool in Copilot’s belt, Code Interpreter, makes Copilot more powerful than ever. Now, your team can automate otherwise manual workflows with the power of Python, letting you work more effectively and quickly than in the past. Want to see the power of Code Interpreter in person? Start a new project with Flux today!