Texas Instruments has added agentic AI across its CCStudio development tools, aiming to cut embedded software work that now takes months down to days. The company announced the enhancements on Tuesday 10 November 2026, as it showcases them at electronica 2026 in Munich from 10 to 13 November, PR Newswire reports.

Rather than only helping engineers write code, the CCStudio framework gives AI agents device-specific knowledge, including software development kits, pin configurations and peripheral data, through Model Context Protocol (MCP) servers. That grounding is meant to improve accuracy and reduce errors, so the tools can generate code, configure peripherals, build applications, flash devices and debug them with less manual work.

A migration skill that works in days, not months

Texas Instruments describes its new device migration skill as an industry first. When a developer asks their AI tool to move code from a rival chip to a TI chip, specialised subagents handle each stage of the move, analysing the source project, configuring peripherals, updating code and API calls, and working through build errors until the project builds. The aim is to let engineers keep their existing software investment instead of rewriting it from scratch.

Amichai Ron, senior vice president of Embedded Processing at TI, said embedded software development was still a highly manual and time-consuming process, and that the company's goal was to give developers a more efficient and accurate experience so they could spend more time innovating.

Available now as a free download

The agentic AI capabilities are available now across TI's general-purpose and real-time microcontrollers, wireless connectivity devices and radar systems-on-chip. The CCStudio development ecosystem works in the CCStudio IDE and in CCStudio for Visual Studio Code, and it is available as a free download from TI.com, supporting multiple AI agents and models.

TI is demonstrating the new workflows at electronica 2026 in Hall C4, Booth No. 159, in Munich. Demand for embedded processing chips continues to grow as more autonomous, connected and AI-enabled systems reach the market, and TI says its broad microcontroller portfolio and manufacturing capacity give customers confidence they can scale the designs they start today. TradingView also carries the company's announcement.