Built a C# AI Agent That Researches Errors and Suggests Fixes
A developer has created a C# AI agent designed to assist with debugging by researching errors and suggesting fixes. This AI agent, named DotNetErrorAgent, utilizes external sources such as GitHub issues and StackOverflow discussions to provide evidence-based solutions. The goal is to mimic the process of a senior engineer, ensuring that the AI does not rely solely on internal knowledge.
- ▪The AI agent is built using C# and integrates with Semantic Kernel and Azure OpenAI.
- ▪It is designed to research external sources before providing answers to debugging questions.
- ▪The agent follows a structured analysis process to identify and rank potential causes of errors.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3952994) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Kaushal Kumar Posted on May 26 Built a C# AI Agent That Researches Errors and Suggests Fixes #dotnet #csharp #ai #semantickernal We've all done this. You hit an exception You copy the stack trace Open Google Read StackOverflow Open GitHub issues Check Microsoft docs Read random blogs Open three more tabs Thirty minutes later you're still debugging. Modern AI tools help, but there is a problem: They often answer from memory.
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