Title Proposal:
“Using Kate for Lightweight Data Pipeline QA on Fedora”
Pitch Summary:
This article builds on my previous Fedora Magazine piece, “Writing Docs with Kate”, and explores how Kate’s advanced editing features can support quality assurance (QA) for lightweight data pipelines.
Instead of tackling full-scale orchestration or IaC (infrastructure as Code) tooling, I focus on how analysts and engineers can design, validate, and document data workflows—such as ETL (Extract, transform, and load) scripts or cron-based pipelines—using Kate as a practical, Fedora-native editor.
Key highlights include:
- Leveraging Language Server Protocol (LSP) for YAML, Bash, and Python
- Using syntax highlighting, code folding, and integrated QA tools (
shellcheck,yamllint) - Creating scripts that are copy/paste-ready, testable, and version-controlled
- Real-world demo: building and verifying a basic pipeline using Fedora tools (for example, PostgreSQL, cron, shell)
This follow-up continues the theme of “developer writing for real-world execution,” focusing on how Kate supports both clarity and correctness in technical documentation and code-driven processes.
The article will walk through a real-world example of building and validating a data pipeline using open-source tools on Fedora, showing how Kate helps improve documentation quality, testability, and repeatability.