Agentic AI Debugging with TASKING winIDEA

Duration: 15:26

In this Tech Tues­day, Paul from the TASKING debug­ger prod­uct line explains how agen­tic AI can change embed­ded soft­ware develop­ment work­flows. The ses­sion shows how the TASKING winIDEA AI Kit con­nects AI agents to debug­ger func­tion­al­i­ty through an MCP serv­er, the winIDEA SDK, doc­u­men­ta­tion, and embed­ded develop­ment skills. You will learn how agen­tic AI dif­fers from chat AI, how an agen­tic IDE can inter­act with source code and tools, and how winIDEA AI Kit can sup­port debug­ging, mea­sure­ment, and per­for­mance analy­sis on embed­ded tar­gets. The prac­ti­cal demo shows an AI agent cre­at­ing a Python script to visu­al­ize a PID con­trol loop using data cap­tured through TASKING winIDEA and Blue­Box debug­ger hard­ware. What you will learn:

  • The dif­fer­ence between chat AI and agen­tic AI
  • How agen­tic AI changes the embed­ded soft­ware develop­ment work­flow
  • What is includ­ed in the TASKING winIDEA AI Kit
  • How the winIDEA MCP serv­er con­nects AI agents to debug­ger func­tion­al­i­ty
  • How winIDEA SDK doc­u­men­ta­tion helps reduce hal­lu­ci­na­tions
  • How embed­ded develop­ment skills improve AI results for debug­ging tasks
  • How an AI agent can gen­er­ate a Python visu­al­iza­tion for con­trol loop data

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