Here's what beginners need to know to vibe code securely.

The FDE title might be new, but the theory is as old as computers themselves.

I added threat-models: ai to my CodeQL workflow. Now I want to think that if LLM output flows into SQL execution or a shell, ...

Apache Spark 4.3 brings stateful streaming with millisecond-scale latency, history-preserving Auto CDC, and faster data and ...

"I connected an AI agent to a database and asked it to 'get last month's net sales,' and it wrote and executed the SQL in ...

Build an AI code review pipeline on GitHub Actions with Semgrep, reviewdog and a Python model reviewer. 12 steps, tested code ...

SmartBase by Miyoni is a free SQL-powered cloud backend platform that bundles database management, REST APIs, cloud storage, ...

System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...

Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics SQL analytics endpoint in Microsoft Fabric Warehouse in Microsoft Fabric SQL database in Microsoft Fabric ...

description Use when a Python program (a script, a service, a notebook) keeps data in pandas and you want to query it with SQL, safely parameterized, and get pandas or Arrow results back. prompt Load ...

Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...

AI agents write more code than humans can review. Here's how secure code review works today, what it should catch, and how agentic AI security review keeps PRs moving.