Frontend Performance Optimization for AI Applications: Reducing Latency and Improving UX Expert Guide to Building Fast, Responsive AI-Powered Frontends I’ve optimized AI applications that handle thousands of tokens per second, and I can tell you: performance isn’t optional. When users are waiting for AI responses, every millisecond matters. When you’re streaming tokens, every frame drop […]
Read more →Month: October 2025
Multi-Turn Conversations & Agent Threads in Microsoft Agent Framework – Part 5
Master multi-turn conversations with Agent Threads. Learn context management, persistence patterns, and human-in-the-loop workflows.
Read more →Tools & Function Calling in Microsoft Agent Framework – Part 4
Deep dive into AI agent tools and function calling. Learn MCP integration, external API patterns, error handling, and tool chaining in Microsoft Agent Framework.
Read more →Security as Code: Why the Best DevSecOps Teams Treat Vulnerabilities Like Bugs, Not Afterthoughts
The first time I watched a security vulnerability slip through our CI/CD pipeline and make it to production, I felt the same sinking feeling every engineer knows: that moment when you realize the system you trusted has a blind spot. It was 2019, and we had what we thought was a mature DevOps practice. Automated […]
Read more →Building Your First AI Agent with Microsoft Agent Framework (Python) – Part 3
Build a production-ready Research Assistant AI agent using Python. Complete tutorial covering async patterns, @ai_function decorators, multi-turn conversations, and best practices.
Read more →Observability Practices in AI Engineering: A Complete Guide to LLM Monitoring
Master AI observability with this comprehensive guide. Compare Langfuse, Helicone, LangSmith, and other tools. Learn which metrics matter, how to build evaluation pipelines, and implement production-grade monitoring for LLM applications.
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