.NET AI Architect Laboratory: Making AI Work and Execute Tools (Phase 2)
The .NET AI Architect Laboratory has progressed to Phase 2, where an autonomous AI agent was developed to analyze local project files. This agent can execute tools and detect security vulnerabilities without manual input. Future plans include integrating a memory substrate for improved context retention in Phase 3.
- ▪In Phase 2, the AI agent can autonomously execute tasks like finding architectural patterns and security bugs.
- ▪A dynamic runtime pipeline allows the system to switch between different AI models based on user selection.
- ▪The dashboard interface visualizes real-time analysis results and recommendations from the AI agent.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 450169) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Murat Süzen Posted on May 20 .NET AI Architect Laboratory: Making AI Work and Execute Tools (Phase 2) #ai #llm #tutorial #semantickernel In Phase 1 of this project, we built a type-safe “Brain” using .NET 10 and Google Vertex AI. In Phase 2, we successfully gave hands and feet to our AI substrate.
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