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Architecture decisions, scaling patterns, and lessons from building AI systems in the real world.

Latest4 min read

Why Most Multi-Agent Systems Fail at Scale

Multi-agent systems aren't microservices. Here's what breaks at scale and the architecture patterns that survive production AI workloads.

ArchitectureMulti-AgentScaling
2026
4 min read

The Infrastructure Tax Nobody Talks About

Agent-generated deploys hit 30% on Vercel. The infrastructure layer is changing underneath us. Most companies are building on foundations not designed for this.

InfrastructureAI Agents
4 min read

Trustworthy Agents Are an Engineering Problem, Not an Alignment Problem

Anthropic's paper on trustworthy agents confirms what production teams know: agent reliability is an architecture problem, not a prompting problem.

AI AgentsReliability
4 min read

Vector Databases Are the Wrong Abstraction

Vercel open-sourced a knowledge agent using grep instead of embeddings. File systems beat vector databases for most AI agent workflows. Here's why.

ArchitectureRAG
4 min read

Green CI Is No Longer Proof of Safety

Agent-generated code passes every test and looks like senior engineer output. The old CI verification model is broken. Here's what replaces it.

AI AgentsInfrastructure
3 min read

Small Models Are Eating the Agent Stack

Phi-3, Mistral 7B, and Llama 3 are replacing GPT-4 in production agent pipelines. Not for everything, but for more tasks than you'd expect.

AI AgentsInfrastructure
18 articles