Build graph-based workflows connecting multiple agents. Learn executors, edges, conditional routing, and checkpointing for complex business processes.
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Your Copilot Is Watching: The Real Story Behind AI Coding Assistants in 2025
🎓 AUTHORITY NOTE Drawing from 20+ years of software development experience, leading teams of 10-100 engineers, and having evaluated every major AI coding assistant in production environments. This represents hands-on, production-tested insights. Executive Summary Something shifted in how we write code over the past two years. It wasn’t a single announcement or product launch—it was […]
Read more →Tips and Tricks – Use functools.cache for Automatic Memoization
Cache expensive function results automatically with the built-in cache decorator.
Read more →Testing AI-Powered Frontends: Strategies for LLM Integration Testing
Testing AI-Powered Frontends: Strategies for LLM Integration Testing Expert Guide to Testing AI Applications with Confidence I’ve tested AI applications that handle streaming responses, complex state, and real-time interactions. Testing AI frontends is different from traditional web apps—you’re dealing with non-deterministic outputs, streaming data, and asynchronous operations. But with the right strategies, you can test […]
Read more →Frontend Performance Optimization for AI Applications: Reducing Latency and Improving UX
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 →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.
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