About
We cover the systems building the systems.
mech.app is an independent editorial site focused on the infrastructure layer of agentic AI. It explores the orchestration patterns, developer tooling, automation workflows, financial mechanics, and security boundaries that go into shipping real-world applications.
We started mech.app because most AI coverage treats every model release like a cultural event. We are much more interested in what engineers build with those models the week after. Our focus is purely on the practical infrastructure that makes agents reliable enough to run in production, from LangGraph pipelines and MCP integrations to custom eval harnesses.
Some of the categories that we cover includes: Automation (workflow orchestration and RPA), AI Agents (multi-agent systems, MCP, evals), Dev Tools (infrastructure, developer experience), Financial (market mechanics at the AI layer) and Security (red teaming, prompt injection, and exploit analysis). We focus our analysis on five core areas: Automation tracking workflow orchestration and robotics process automation, AI Agents covering multi-agent systems, Model Context Protocol integration and evaluations, and Dev Tools exploring backend infrastructure and developer experience. We also dive deep into Financial market mechanics at the AI layer, alongside rigorous Security research into red teaming, prompt injection and exploit analysis.