Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
A practitioner's guide to choosing between serverless and provisioned databases based on cost, latency, connections, and load shape.
A practical look at when SQLite is a genuinely good production database, where it breaks, and the tooling that makes it viable.
A hands-on walkthrough of Turso and libSQL, from CLI setup to embedded replicas that put SQLite reads next to your users.
AI code review tools auto-analyze every pull request for bugs, style, and security, then post inline comments before a human ever looks.
A concrete, balanced breakdown of Cursor and GitHub Copilot across autocomplete, agents, context, governance, and real pricing to pick the right one.
Vibe coding means describing what you want in plain language and letting an AI build it, accepting the code without reading every line.
AI apps add a new attack surface on top of the old ones. This is the map: the threats unique to LLMs and agents, and the controls that actually contain them.
A practical tour of how software supply chain attacks reach your build, and the controls that actually stop them.
A practical field guide to the secure coding habits that stop the vulnerabilities attackers actually exploit in production.
Autonomous agents take real actions, so a single injected instruction can cause real damage. Here is how to contain them.
You cannot prove an LLM app is safe by reading its prompt. Here is how to adversarially test it before attackers do.
AIOps applies machine learning to your operational telemetry to cut alert noise, catch anomalies early, and speed up incident response.
