Dev

Go error handling is easy to complain about. Every Go developer has written this code hundreds of times:

Testing concurrent Go code has always required a bit of discipline. Goroutines are cheap, channels are simple, and context cancellation is idiomatic — background workers and timers are everywhere in real Go services.

Google’s Agent2Agent protocol, usually shortened to A2A, had a strange first year.

Polling agents are one of the least glamorous parts of AI assistant architecture, but they are also one of the most useful.

AI agent architecture is starting to split into two layers.

The A2A Protocol, short for Agent2Agent Protocol, is an open standard for communication between independent AI agent systems.

CQRS is one of those patterns that gets oversold, overcomplicated, and occasionally misdiagnosed as a cure for plain old CRUD boredom.

Mermaid is a text-based diagramming tool for people who would rather write diagrams than drag boxes around a canvas.

A production AI assistant is not “an LLM with a prompt”. It is a system that accepts intent, keeps state, decides when to retrieve or act, and exposes enough runtime detail to debug failures.

Most LLM “structured output” tutorials are unserious. They teach you to ask for JSON politely and then hope the model behaves. That is not validation. That is optimism with braces.

Idempotency in distributed systems is the property that saves you after the network lies, the queue retries, the client panics, and the operator hits replay. In production systems, duplicate delivery is normal. Duplicate side effects are the bug.

Most teams misuse Claude Skills in one of two ways. They either turn SKILL.md into a dumping ground, or they never graduate from giant copy-pasted prompts.

OpenClaw has two extension stories, and they are easy to mix up.

Plugins extend the runtime. Skills extend the agent’s behavior.

This article is about OpenClaw plugins — native gateway packages that add channels, model providers, tools, speech, memory, media, web search, and other runtime surfaces.

Alerting gets described as a monitoring feature far too often. That framing is convenient, but it hides the real problem.

Chat platforms have evolved far beyond messaging tools. In modern systems they operate as interfaces between automated processes and human decision making.