AI infrastructure releases, MCP, agents, retrieval, memory, and lessons from production AI systems.
A production-focused guide to checkpointers, interrupts, TimeoutPolicy, and the runtime decisions that matter once agents hit real traffic.
As workflows become longer-running and more autonomous, checkpointing, resumption, human approval, and failure boundaries become the architecture — not implementation details.
The feed is built for senior engineers: what changed, why it matters, and how it affects production systems.
OpenAI, Anthropic, LangGraph, MCP, and infrastructure updates worth reading.
A production guide to lifecycle, transports, primitive design, and implementation boundaries.
A practical look at planning, writing, reviewing, and publishing through an agent workflow.
Where agents should stop, ask, or checkpoint before side effects.
What belongs in memory, what belongs in the transcript, and what should expire.
Research, drafting, review, preview, and WordPress publication as one controlled workflow.