As the repo grows in visibility, it's important to ensure all existing questions and answers are technically accurate, clearly worded, and up to date with current best practices. This issue tracks a quality review pass across all 10 sections.
What to Look For:
Factual errors — incorrect descriptions of how an architecture works
Outdated information — answers that don't reflect current research or tooling
Misleading wording — questions or answers that could confuse candidates
Wrong difficulty tags — questions tagged too easy or too hard relative to content
Missing context — answers that are too brief or lack a practical example
Broken formatting — markdown issues, misaligned tables, broken links
Inconsistencies — terminology used differently across sections
As the repo grows in visibility, it's important to ensure all existing questions and answers are technically accurate, clearly worded, and up to date with current best practices. This issue tracks a quality review pass across all 10 sections.
What to Look For:
Factual errors — incorrect descriptions of how an architecture works
Outdated information — answers that don't reflect current research or tooling
Misleading wording — questions or answers that could confuse candidates
Wrong difficulty tags — questions tagged too easy or too hard relative to content
Missing context — answers that are too brief or lack a practical example
Broken formatting — markdown issues, misaligned tables, broken links
Inconsistencies — terminology used differently across sections