Category: AI

You have responsible AI guidelines on paper - now how do you configure them in your cloud console? A practical reference for the native safety, grounding, …

A confident wrong answer is more dangerous than an honest 'I don't know.' Here's why transparency, autonomy, and graceful degradation have to be UX and …

Every AI query burns real electricity, real cooling, and real carbon. Here's why treating carbon footprint as a query optimization problem - not a …

Software defaults carry culture, and translating the prompt doesn't fix it. Here's why cultural inclusion and user autonomy have to be architectural choices - …

Most AI failures aren't prompt engineering problems - they're system design, data pipeline, and architectural failures. Here's why responsible AI has to be …

An MCP server is just another delivery mechanism, the same as a controller or any other endpoint. MCP servers are the manner in which you can hand that source …

Why Clean Architecture's explicit boundaries make it the ideal guardrail for keeping AI coding agents consistent and maintainable.

No API keys. No cloud. Just your documents, a local LLM, and a dream.

Practical advice for experienced developers on adopting AI as a productive, safe companion - not a replacement - with tips for prompts, workflows, and …

While a single generalist AI coding agent can be useful, sometimes it helps to have teams of specialist agents working in coordination.

With agent-driven workflows, you are able to describe an outcome and have the agent figure out the steps to reach that outcome.

There are things that an AI coding agent simply isn't capable of doing out of the box. This is where MCP servers come in.