Explore our latest articles and technical deep dives.
Microsoft's unified agent framework that succeeds both Semantic Kernel and AutoGen — with dedicated migration guides, 160+ contributors, and GA release v1.0.0.
Building a multi-agent system with NanoBanana — architecture patterns, tool-calling orchestration, and lessons from deploying agentic workflows in production.
A TypeScript-native multi-agent framework that decomposes goals into runtime task DAGs — runs fully offline on quantized models via Ollama with just 4-8GB VRAM.
An infrastructure-as-code orchestration runtime for multi-agent AI systems — treating agents as YAML resources with manifests, routing, and lifecycle.
Real-time web retrieval, citation-grounded generation, and the architecture behind sub-second answers — building a Perplexity-style search engine.
A Pydantic-powered agent framework leveraging Pydantic's validation and schema capabilities for type-safe, structured AI agent outputs.
Microsoft's lightweight SDK for integrating AI into applications — with plugins, planners, and memory for building intelligent apps.
Benchmarking quality, cost per minute, and the 5 patterns that produced watchable results — experiments with OpenAI Sora 2 for technical explainer videos.
Prompt engineering patterns, temporal consistency techniques, and how we integrated Google Veo 3 into our documentation pipeline for product demo videos.