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… Continue reading
Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
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… Continue reading
TypeScript for AI Applications: Type Safety in LLM Integration
TypeScript for AI Applications: Type Safety in LLM Integration Expert Guide to Building Type-Safe AI Applications with TypeScript I’ve built AI applications with and without TypeScript, and I can tell you: type safety isn’t optional for AI applications. When you’re dealing with streaming responses, complex message structures, and dynamic AI outputs, TypeScript catches bugs before… Continue reading
Tips and Tricks – Use Generators for Memory-Efficient Data Processing
Process large datasets without loading everything into memory using Python generators.
When AI Becomes the Architect: How Agentic Systems Are Redefining What Software Can Build Itself
The moment I watched an AI system autonomously debug its own code, refactor a function, and then write tests for the changes it made, I realized we had crossed a threshold that would fundamentally change how we think about software development. This wasn’t a chatbot responding to prompts. This was an agent, a system with… Continue reading
Tips and Tricks – Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Advanced Multi-Agent Patterns: Workflow Orchestration and Enterprise Integration with AutoGen
Last year, I faced a challenge that forced me to rethink everything I knew about Advanced Multi-Agent Patterns. What started as a simple optimization project revealed fundamental gaps in my understanding. Let me share what I learned. The Challenge I was building [specific context] when I hit [specific problem]. The standard approaches didn’t work, and… Continue reading
Progressive Web Apps (PWAs) for AI: Offline-First LLM Applications
Progressive Web Apps (PWAs) for AI: Offline-First LLM Applications Expert Guide to Building Offline-Capable AI Applications with Service Workers I’ve built AI applications that work offline, and I can tell you: it’s not just about caching—it’s about rethinking how AI applications work. When users lose connectivity, they shouldn’t lose their work. When they’re on slow… Continue reading
Tips and Tricks – Use Span for Zero-Allocation String Parsing
Eliminate heap allocations when parsing strings by using Span
Deploying Multi-Agent AI Systems to Production: Scaling AutoGen with Kubernetes
After 20 years in this industry, I’ve seen Deploying Multi-Agent AI Systems to Production evolve from [past state] to [current state]. The fundamentals haven’t changed, but the implementation details have. Let me share what I’ve learned. The Fundamentals Understanding the fundamentals is crucial. Many people skip this and jump to implementation, which leads to problems… Continue reading