Orchestration & Architecture
LangGraph, CrewAI, AutoGen, OpenAI Agents SDK and Google ADK compared — plus the design patterns behind production multi-agent systems.
Agentic engineering: building software with coding agents you can actually ship
What agentic engineering means in 2026 — developing software with coding agents like Claude Code, Codex, Cursor and Aider — where the line to vibe coding runs, what AGENTS.md and CLAUDE.md are for, what the METR study measured, and what has to be true after the merge for the result to survive production.
Read →Articles
What is an AI agent? A definition without the marketing
An AI agent is software that plans and executes multi-step tasks on its own: model, tools, memory, and an action loop. How it differs from a chatbot and from automation, what it's good for, and which risks to control from day one.
Read →Agent memory architecture: short-term, long-term, episodic
How autonomous agents remember — the three kinds of memory, when to use each, and why governing the memory layer is both a capability and a security decision.
Read →Agent orchestration: LangGraph vs CrewAI vs AutoGen and beyond
A vendor-neutral comparison of the main agent frameworks — LangGraph, CrewAI, AutoGen, OpenAI Agents SDK and Google ADK — and how to choose between single-agent and multi-agent designs.
Read →Context engineering: giving an agent what it needs, not everything
Why what you put in the context window decides an agent's quality, cost and safety — and the discipline of assembling the right context at each step.
Read →Single-agent or multi-agent? A decision guide
When to split a task across multiple AI agents and when one is enough — the real costs of multi-agent systems and a simple test for whether you actually need one.
Read →Ship agents you can trust
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