MathWorks launches a GenAI copilot for MATLAB
MathWorks recently announced the launch of MATLAB Copilot, a generative AI assistant for MATLAB that is designed to enhance productivity and accelerate development for engineers, scientists and researchers. Available in the latest MATLAB and Simulink Release 2025b (R2025b), the new GenAI product is designed to streamline coding, debugging and learning within the MATLAB environment.
“MATLAB Copilot continues our longstanding approach of helping our users focus on engineering and science, not programming,” said Roy Lurie, VP of Engineering at MathWorks. “By integrating generative AI directly into existing MATLAB workflows, MATLAB Copilot strengthens MATLAB and Simulink as a platform for engineering innovation, enabling millions of engineers and scientists to design and build the most innovative engineered systems in the world.”
MATLAB Copilot offers features that support users throughout their development workflows, including:
- Chat and Learn: Users can ask questions in MATLAB Copilot Chat and receive answers sourced from MathWorks documentation and real-world code examples, helping them quickly access trusted, context-aware information without leaving the MATLAB environment.
- Code Smarter: As users type in the MATLAB Editor, Copilot suggests autocompletions and code predictions — or generates code from natural language descriptions — enabling faster development and more efficient prototyping.
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Understand and Improve: MATLAB Copilot explains unfamiliar code, adds comments, clarifies error messages and even generates tests using MATLAB Test. These capabilities reduce debugging time, improve code quality, and support faster onboarding and collaboration across teams.
“MATLAB Copilot is designed to meet engineers, scientists and researchers where they are — inside the MATLAB environment they already know and trust,” said Seth DeLand, Principal Product Marketing Manager for Generative AI at MathWorks. “It’s not just about writing code faster; it’s about making the entire development process more intuitive, more collaborative and ultimately more empowering. We are excited to see how users take advantage of MATLAB Copilot.”
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