Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
A practical field manual for engineering teams who want AI features that survive real users, incidents, and budgets — not just demo day.
A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.
Use prompts to get reliable, safe outputs from LLMs for runbooks, code, and ops tasks.