Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
The MCP ecosystem has grown to 5,000+ servers. This production guide covers building MCP servers, enterprise adoption patterns, the 2026 roadmap, and integration best practices.
Practical ROI frameworks for AI agents including time saved, cost per interaction, process acceleration, and revenue impact calculations with real formulas and benchmarks.
Deep dive into Microsoft's security framework for agentic AI including the Agent 365 control plane, identity management, threat detection, and governance at enterprise scale.
Openai agents sdk documentation 2026 tools handoffs tracing: comprehensive guide to the OpenAI Agents SDK covering the Agent class, function tools, agent-as-tool pattern, handoff mechanism, input and output guardrails, and tracing.
How Codex uses GPT-5.4 for autonomous coding tasks including subagent architecture with GPT-5.4 mini, practical patterns for building production code generation agents.
Navigate the current regulatory landscape for AI agents including EU AI Act enforcement, NIST Agent Standards Initiative, and practical compliance requirements for developers.
When to use stateful agents with session history versus stateless agents with external state. Covers hybrid approaches and state externalization patterns.
Technical deep dive into achieving under 500ms voice agent latency with streaming architectures, edge deployment, connection pooling, pre-warming, and async tool execution.
Technical comparison of vector databases for AI agent RAG systems: Pinecone, Weaviate, ChromaDB, and Qdrant benchmarked on performance, pricing, features, and scaling.
