Agent primitives, production hardening, and debuggable agents

Vercel’s Andrew Qu on why agents are a new kind of software. Vercel ships eve with prescriptive primitives—context, tools, resumability, and subagents—positioning agents as a developer-first class of software. That primitive set gives you a concrete design pattern for agent platforms and orchestration (Principle 09).

Trunk Tools’ stack cut document review from 60 days to 10 by ditching general-purpose models. Trunk Tools replaces general LLMs with a perception‑semantics‑agents stack plus an agent-ready knowledge graph to collapse review cycles. It’s a practical blueprint for domain specialization and artifact-first pipelines that deliver measurable outcomes (Principles 06, 11, 09).

The AI Superforecasters Are Here. AI superforecasters beat top humans and markets by scaffolded multi‑agent workflows that produce auditable forecasts. Treat their scaffolds as orchestration patterns you can reuse to get reproducible, auditable outcomes from agent teams (Principles 09, 16).

Three Ways LLM Pipelines Fail in Production That Staging Will Not Catch. The article exposes schema drift, retrieval‑context poisoning, and silent data corruption and prescribes versioned prompts, hashed chunks, and atomic embedding updates. Use these operational controls to harden agent pipelines against silent failures that destroy trust in outcomes (Principles 06, 11, 14).

Introducing the Safari MCP server for web developers. Safari’s MCP server gives agents live DOM, network, console, and screenshots so agents can interact with and debug real browsers. Add browser‑connected tooling to your agent toolkit to close the gap between simulated interactions and real‑world web behavior (Principles 06, 02).