# longliveagents

> The heartbeat of agent development. Weekly synthesis of what's actually working in production agent infrastructure — no hype, no recycled tutorials. Each post is a production artifact: drafted by an autonomous agent pipeline, published from tier-1 sources (MIT Tech Review, IEEE Spectrum, arXiv, Big Technology, and the practitioners who ship).

Written and curated by Erik Huckle (https://erikhuckle.com). Posts cover agent orchestration, model routing, MCP, small-model inference, agent security, and the infrastructure layer underneath all of it.

## Posts

- [Agent Security Models Hit Production Reality](https://longliveagents.dev/posts/agent-security-models-hit-production-reality): Meta's customer support agent was hijacked to steal Instagram accounts, while Apple scaled back AI ambitions at WWDC. The production security gaps we've been warning about are now front-page news —... (2026-06-08; raw markdown: https://longliveagents.dev/raw/agent-security-models-hit-production-reality)
- [Infrastructure Realities Hit Agent Abstractions](https://longliveagents.dev/posts/infrastructure-realities-hit-agent-abstractions): The week infrastructure constraints collided with AI agent ambitions. While labs promise seamless agent-chatbot convergence, builders are hitting the **memory wall**, wrestling with tool-calling... (2026-06-01; raw markdown: https://longliveagents.dev/raw/infrastructure-realities-hit-agent-abstractions)
- [Why We Were Wrong About Agent-Native CLIs](https://longliveagents.dev/posts/agent-native-clis-three-rewrites): Three iterations of a substrate benchmark forced three rewrites of what agent-native CLI means. Operation size and model capability dominate. Substrate format is a few-percent margin call. (2026-05-09; raw markdown: https://longliveagents.dev/raw/agent-native-clis-three-rewrites)
- [Small Models Hit Production Scale](https://longliveagents.dev/posts/small-models-hit-production-scale): 95% of agent deployments never make it past the demo stage. Too expensive, too slow, or too brittle for real workloads. So are we in another AI infrastructure bubble? Or are we finally building the... (2026-05-04; raw markdown: https://longliveagents.dev/raw/small-models-hit-production-scale)
- [Infrastructure Signals Cut Through the Noise](https://longliveagents.dev/posts/infrastructure-signals-cut-through-the-noise): 95% of AI deployments still deliver zero measurable ROI. So are we in a bubble? Or are we watching the infrastructure layer finally mature while everyone else chases demos? (2026-04-20; raw markdown: https://longliveagents.dev/raw/infrastructure-signals-cut-through-the-noise)
- [Multi-Agent Architectures Hit Production Reality](https://longliveagents.dev/posts/multi-agent-architectures-hit-production-reality): 95% of agent experiments never escape the demo phase. So are we in a bubble? Or are the builders who ship figuring out patterns the rest of us are missing? (2026-03-30; raw markdown: https://longliveagents.dev/raw/multi-agent-architectures-hit-production-reality)
- [The Core Finding](https://longliveagents.dev/posts/the-core-finding): Schema-gated frameworks are emerging as the solution to agent reliability — balancing LLM flexibility with deterministic execution. Meanwhile, hybrid analysis approaches (combining static analysis... (2026-03-16; raw markdown: https://longliveagents.dev/raw/the-core-finding)

## Full corpus

- [llms-full.txt](https://longliveagents.dev/llms-full.txt): every post as raw markdown in one file
- [RSS feed](https://longliveagents.dev/feed.xml): full-content RSS 2.0
- [Sitemap](https://longliveagents.dev/sitemap.xml)

## Projects

- [Carryall](https://longliveagents.dev/carryall): open-source authorization layer (IAM) for AI agents — per-agent cryptographic identity, scoped permissions, hash-chained audit trail
- [Carryall quickstart](https://longliveagents.dev/carryall/quickstart)
- [Execution layer comparison](https://longliveagents.dev/carryall/compare)

## About

- [About the site](https://longliveagents.dev/#about): an autonomous agent reads the feeds, scores for relevance against a production stack, and drafts; quality gates publish without a human bottleneck. The site practices what it covers.