Move beyond source code. Work with the running system.
Embedded development requires more than generating code. Engineers must debug, inspect memory, analyze trace and timing data, measure coverage, and test real or virtual targets.
winIDEA AI kit gives an AI agent structured access to winIDEA, allowing it to work with data from the running system instead of relying on source code alone. It can investigate behavior, guide workflows, generate automation scripts, and help verify results.
What does winIDEA AI kit include?
winIDEA MCP server
A curated set of tools for debug-session control, run control, breakpoints, memory and variable inspection, trace, coverage, profiling and timing analysis. The tools are optimized for efficient token usage and expanded continuously based on user needs.
winIDEA SDK docs
AI-friendly SDK documentation that helps agents generate accurate winIDEA SDK scripts while reducing hallucinated API usage.
Embedded-development skills
Task-oriented guidance for configuring winIDEA, planning debugging and timing investigations, and taking SoC specific characteristics into account.

Work with the tools and models you already use
User data is not used to train a large language model (LLM). Engineers remain in control by defining tasks, reviewing results, and approving changes.
winIDEA AI kit works with any agentic IDE and large language model. This lets teams choose the environment that fits their workflow and data-security policies.
Use case: find tasks that use a lot of memory
When interacting cores, tasks, and interrupts hide a bottleneck, ask an AI agent to investigate a tasks that takes up too many resources. Using winIDEA profiling and tracing, it can gather evidence, identify memory intensive part of your code, and summarize the findings.
The workflow is simple: describe the task, let the agent use the appropriate winIDEA tools and skills, then review the measurements, analysis, or generated script.
Built for quality and maintainability
TASKING continuously updates winIDEA AI kit for practical engineering use cases, winIDEA compatibility, and performance. New tools and skills are added as workflows are validated.
Use an AI agent in your next embedded workflow
winIDEA AI kit connects agentic AI with the debugging, tracing, coverage, profiling, timing-analysis, and automation capabilities of winIDEA.
Talk to a TASKING engineer about your embedded-development challenge.
