AI Agent
Architecture, tool use, memory, RAG, evaluation, permissions and runtime governance.
Look High. Build Low.
XBSTACK continuously documents practical AI Agent, MCP, LangGraph and Workflow engineering, alongside useful developer tools, long-term research and outdoor field notes.
⌕ Search errors, engineering problems, tools, topics or articles…Architecture, tool use, memory, RAG, evaluation, permissions and runtime governance.
Servers, transports, OAuth, permissions, security and protocol troubleshooting.
State, checkpoints, HITL, failure recovery, concurrency and observability.
n8n, self-hosting, webhooks, queues, retries, idempotency and cost governance.

Context engineering goes beyond prompt engineering. This guide combines Microsoft, Anthropic and Google sources with XBSTACK tests on retrieval, tools, memory and token cost.

GPT-6 Astra API pricing, 1.05M context, Responses migration and rollout, plus Claude Fable 5.1 and Gemini 3.8 Flash comparisons for coding, agents and cost.

Gemini 3.8 Flash vs 3.7 Flash: compare price, 1M context, thinking levels, AI coding, AIGC, Claude/GPT selection context, agent routing, migration and token cost.

Claude Fable 5.1 and Mythos 5.1 share the same underlying model but differ in safeguards and access. Compare pricing, cache costs, coding benchmarks, and who should use each.

A v1 MCP StreamableHTTPClientTransport POST can remain pending until request timeout after request-scoped SSE error/EOF. XBSTACK reproduced Issue #2739 on SDK 1.29.0 and 1.30.0.

llms.txt v2 adds explicit discovery for Markdown pages and llms.txt through rel=alternate and rel=describedby. This guide shows how to implement and verify both relationships.