Engineering the next generation of AI agents
Deep-dive guides, precise glossary, curated tools, and the latest research — for engineers and researchers building autonomous AI systems.
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MCP Goes Stateless: Why the 2026-07-28 Spec Landed at Exactly the Right Time
The 2026-07-28 revision of the Model Context Protocol deletes the stateful handshake — no initialize, no session IDs, no session store. Why that change arrived precisely when agent infrastructure needed it, what it looks like on the wire, and what migrating actually involves.
Inside the Agentic AI Foundation (AAIF): Linux Foundation Projects Shaping the Agent Stack
AAIF is becoming the vendor-neutral standards layer for production AI agents. This roundup maps the protocols, projects, and working groups that matter for teams shipping agents at scale.
Agent Evaluation: How to Test What You Can't Fully Predict
Evaluation is the discipline that separates an agent that demos well from one that survives production. This piece builds the vocabulary — correctness, faithfulness, tool-call accuracy, trajectory evaluation — and the workflow behind it.
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View allAgent Memory Management for Multi-Agent Systems: Types, Strategies, Architecture, and Practical Applications
A production-oriented guide to multi-agent memory: ownership, sharing boundaries, architecture choices, consistency controls, ontology-gated writes, and runnable Python patterns for agent namespaces, team memory, and memory-aware handoffs.
MCP Goes Stateless: Why the 2026-07-28 Spec Landed at Exactly the Right Time
The 2026-07-28 revision of the Model Context Protocol deletes the stateful handshake — no initialize, no session IDs, no session store. Why that change arrived precisely when agent infrastructure needed it, what it looks like on the wire, and what migrating actually involves.
Inside the Agentic AI Foundation (AAIF): Linux Foundation Projects Shaping the Agent Stack
AAIF is becoming the vendor-neutral standards layer for production AI agents. This roundup maps the protocols, projects, and working groups that matter for teams shipping agents at scale.
Agent Evaluation: How to Test What You Can't Fully Predict
Evaluation is the discipline that separates an agent that demos well from one that survives production. This piece builds the vocabulary — correctness, faithfulness, tool-call accuracy, trajectory evaluation — and the workflow behind it.
Prompt Engineering for Agent Roles: System Prompts That Scale
The craft layer of agent engineering — how to structure system prompts with Role, Goal, Format, and Constraints so your agent is reliable in production, not just in demos.
Building a Research Agent That Doesn't Hallucinate: An Architectural Approach
A team implemented robust architectural patterns, multi-tiered memory, and advanced RAG strategies to build a research agent capable of generating factually grounded responses, drastically reducing hallucinations.
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