Texas Instruments (TI) has upgraded its CCStudio development ecosystem with new agentic AI capabilities to make embedded software development faster and easier. The technology supports development across microcontrollers (MCUs), wireless connectivity and radar applications. Unlike basic AI tools that mainly assist with code generation, the new system can use device-specific information to handle more complex development tasks with less manual effort. It works with the AI tools engineers already use, helping them complete design tasks faster, reduce development time and focus more on system design and innovation. TI is showcasing these new capabilities at electronica 2026, being held from November 10–13 in Munich, Germany.
“Embedded software development is an incredibly manual and time-consuming process that has been significantly changing over the last few years with agentic AI,” said Amichai Ron, senior vice president, Embedded Processing and DLP Products at TI. “TI was one of the first semiconductor companies to enable agentic AI workflows in our development ecosystem, and over the last several months, we have been strengthening its capabilities to enable significantly better productivity. Device migration, system configuration, and debugging are all integrated with agentic AI built on TI’s embedded expertise. Our goal is to give developers a more efficient and accurate development experience so they can spend more time innovating.”
A New Era of Embedded Development
Over the past two years, generative AI tools have helped engineers write code faster. However, these tools often struggle with complex embedded development because they lack detailed information about specific hardware. To address this issue, TI has added an agentic AI framework to its CCStudio development ecosystem. The framework provides AI tools with device-specific information, such as software development kits (SDKs), pin settings and peripheral configurations, through Model Context Protocol (MCP) servers. By using TI’s technical data, the AI can generate more accurate code, reduce incorrect outputs and provide solutions that are closer to being ready for implementation. It also selects only the technical information needed for each task, helping reduce response time and AI processing costs.
For example, TI’s CCStudio integrated development environment (IDE) exposes its core capabilities to industry-standard AI agents, allowing them to generate code, configure peripherals, build the application, flash it to the device, and debug it autonomously. Engineers can use simple language to move through the full development workflow in CCStudio IDE or CCStudio for VS Code, all without switching tools or rebuilding context.
Accelerating Time to Market With the Industry’s First Device Migration Skill
TI’s first-of-its-kind migration skill transforms what has historically required months of manual effort into a workflow completed in days, or even hours. When a developer prompts their preferred AI tool to migrate code from a competing device to a TI device, the model invokes TI’s skill to autonomously navigate the full migration process, while preserving the developer’s existing software investment.
Specialized subagents each handle a distinct phase of code migration automatically: analysing the source project, configuring peripherals, updating code and API calls, and iterating through build errors to resolution. By offloading repetitive, time-consuming aspects of migration to this specialized skill, engineers can focus on high-level innovation, including system architecture and unique application features.
Enablement Across TI’s Embedded Processing Portfolio
Agentic AI capabilities in TI’s CCStudio ecosystem are available today across its general-purpose and real-time MCUs, wireless connectivity devices, and radar systems-on-chip. With a modular architecture that spans task-specific skills, MCP server integrations and context injection, CCStudio tools are designed to continuously expand support for new devices, updated SDKs and emerging edge AI development workflows.
The need for these embedded processing semiconductors is continuing to grow, spurred by the proliferation of autonomous, connected and AI-enabled systems. As demand continues, the strength of TI’s broad MCU portfolio and continued investment in building dependable capacity across its 300mm manufacturing footprint give customers confidence that they can scale with the portfolio they are designing in today and rely on well into the future.
TI at Electronica 2026
At electronica 2026, in Hall C4, Booth No. 159, TI will demonstrate the latest enhancements in its development tools alongside innovations across its analog and embedded processing portfolios. Visitors can watch live demonstrations of agentic workflows in CCStudio IDE and CCStudio for VS Code, covering end-to-end application development from system configuration to debugging.
