The companies Embedder and SEGGER have come up with a collaboration that is set to help bring about advancement in the process of developing autonomous firmware through the provision of access to SEGGER’s market leading J-Link and J-Trace debugger probes for Embedder’s AI coding agent. The collaboration provides the opportunity for the AI coding agent to develop, test, flash, and debug firmware right on physical target hardware, which creates an important breakthrough in embedded software engineering since the process of verifying and fixing code can now be done autonomously until code works properly on real devices. They can analyze existing firmware, investigate unexpected behavior, identify bugs, and help develop and verify solutions. In embedded systems, however, this requires direct access to the real target hardware.
Also Read: SunTec India Integrates AI Across the Software Development Lifecycle to Accelerate Digital Engineering
By combining Embedder with SEGGER’s professional debug and trace technology, we are enabling AI to participate in the entire embedded development cycle – from writing code to debugging and validating it on the device.” Highlighting the core shift in industry requirements, Bob Wei, CTO and founder of Embedder, explained, “As AI agents become more capable, the biggest bottleneck in embedded development is shifting from writing firmware to verifying it meets functional and performance requirements on real hardware,. By giving Embedder direct control of SEGGER’s J-Link and J-Trace probes, we’re enabling our agents to test, debug, and optimize the firmware they write. Together, we’re building toward a future where AI agents can take firmware from an idea to a working system autonomously.”
