Code can be generated quickly, but embedded development involves more than source code. Engineers also need to configure debug sessions, inspect processor state, read and modify memory, set breakpoints, analyze trace data, measure timing, check coverage, and run tests on real or virtual targets.
Until now, these activities have largely remained outside the reach of AI assistants. winIDEA AI Kit changes that. It gives an AI agent a structured way to work with winIDEA, so the agent can gather evidence from the running system and take controlled actions instead of relying only on assumptions in the source code.
The result is a more capable development partner: one that can investigate system behavior, generate automation scripts, guide common winIDEA workflows, and verify results with concrete data.
Tell the agent what you want to understand or accomplish in normal language. For example: investigate a missed deadline, check whether a variable changes unexpectedly, generate a script to automate some tests, or analyze the current code coverage.
The winIDEA MCP server exposes curated functions for interacting with the debug session, while the skills provide the task-specific guidance needed to use them effectively.
The agent gathers information from winIDEA and uses it to refine the investigation or carry out the requested workflow.
Results are returned to the engineer with concrete information from the system, including relevant measurements, states, analysis results, or generated automation code.
Want to know what winIDEA AI Kit can do? Here’s a couple of examples:
"Write a Python script using winIDEA SDK that shows a graph with live visualisation of myVariable."
Don’t want to waste time looking through the winIDEA SDK documentation? Have AI help you write the scripts!
"My application crashes when I run it, debug session is lost. Find the exact point of failure."
Application crashing? winIDEA AI Kit provides AI with the skills to find the exact point of the crash.
"Perform timing analysis and check which OS task consumes the most CPU."
Need to do advanced timing analysis? AI can help configure winIDEA and run the timing analysis.
TASKING continuously maintains winIDEA AI kit. The MCP server and skills are regularly reviewed and updated to address practical customer use cases, ensure compatibility with winIDEA releases, and improve performance through ongoing benchmarking.
This gives teams a maintained alternative to building and maintaining their own complete set of winIDEA integrations, SDK guidance, and embedded-development recipes.
A curated collection of tools that gives an AI agent structured access to key winIDEA specific capabilities, including:
The MCP server is designed to provide useful functionality with efficient token usage, helping the agent spend less context on tool mechanics and more on solving the engineering task.
AI-friendly documentation for the winIDEA SDK that helps an agent generate accurate automation scripts in supported languages, including Python, Java, C#, C++, Matlab, and LabVIEW.
Task-oriented guidance that teaches an AI agent how to use winIDEA for common embedded-development activities, such as:
The skill collection grows as new use cases are identified and validated.
The agent can inspect system state, perform actions, and use the results to decide what to do next.
Give the AI agent access to reliable information from the debug session. It can work with processor status, variables, memory, breakpoints, trace, coverage, profiler, and timing data instead of reasoning from source code alone.
winIDEA AI kit is agentic IDE agnostic. Use any of the popular agentic IDEs like VS Code, AWS Kiro or others.
winIDEA AI kit can be used with locally deployed or cloud-based LLMs, including private or public models. Choose the model and deployment approach that match your organization's data-security policies.
winIDEA AI kit does not use customer data to train an LLM model. The solution is based on an MCP server and skill files rather than LLM model training.
The agent can retrieve information and perform supported actions through winIDEA, but engineers remain responsible for defining the task, reviewing results, and approving changes in their development process.
winIDEA AI Kit requires a suitable winIDEA or add-on license.
