Tags adjustment. Minor CSS fixes.

Author: Seramis

_includes/partials/post-meta.njk

@@ -14,6 +14,7 @@
 	background-color: var(--bg-color-secondary);
 	padding: 0 0.25rem;
 	transition: background-color 0.3s, border-color 0.3s;
+    white-space: nowrap;
 }
 
 .post-metadata svg {

content/blog/2025/20250121_ulid-announcement/index.md

@@ -2,7 +2,7 @@
 title: "Announcing ByteAether.Ulid v1.0.0: A High-Performance .NET ULID Library for Modern Applications"
 date: 2025-01-21
 image: header.png
-tags: ["ulid", "uuid", "guid", "id"]
+tags: ["ByteAether.Ulid", "ULID", "UUID", "GUID", "ID"]
 ---
 
 Frustrated with GUIDs that aren’t sortable or human-readable? Meet ByteAether.Ulid - a ULID library designed to simplify your .NET development.

content/blog/2025/20250128_ulid-intro/index.md

@@ -1,7 +1,7 @@
 ---
 title: "An Introduction to ULIDs: A Modern Identifier for Software Systems"
 date: 2025-01-28
-tags: ["uuid", "ulid", "guid", "id"]
+tags: ["ByteAether.Ulid", "UUID", "ULID", "GUID", "ID"]
 image: header.png
 ---
 In the world of software development, identifiers are a cornerstone of data storage and retrieval. Whether you are designing a database, an API, or a distributed system, choosing the right identifier scheme is critical to ensuring performance, scalability, and reliability. Two widely used options are auto-incrementing integers and UUIDs (Universally Unique Identifiers). While each has its strengths, they also come with significant trade-offs. ULIDs (Universally Unique Lexicographically Sortable Identifiers) have emerged as a modern alternative that combines the best of both worlds. This article introduces ULIDs by first exploring the strengths and limitations of traditional identifier schemes and then delving into the advantages of ULIDs.

content/blog/2025/20250204_uuid-vs-ulid-vs-intid/index.md

@@ -1,7 +1,7 @@
 ---
 title: "UUID vs ULID vs Integer IDs: A Technical Guide for Modern Systems"
 date: 2025-02-04
-tags: ["ulid", "uuid", "guid", "id", "entity-framework", "database", "sql", "performance"]
+tags: ["ByteAether.Ulid", "ULID", "UUID", "GUID", "ID", "Entity Framework", "Database", "SQL", "Performance"]
 image: header.png
 ---
 

content/blog/2025/20250211_shopify/index.md

@@ -1,7 +1,7 @@
 ---
 title: "ULIDs as the Default Choice for Modern Systems: Lessons from Shopify's Payment Infrastructure"
 date: 2025-02-11
-tags: ["ulid", "uuid", "id", "database", "sql", "shopify", "performance"]
+tags: ["ULID", "UUID", "ID", "Database", "SQL", "Shopify", "Performance"]
 image: header.png
 ---
 

content/blog/2025/20250218_front-back-glue-logic-querylink/index.md

@@ -1,7 +1,7 @@
 ---
 title: "Seamlessly Connecting Frontend and Backend Data in .NET Applications: A New Paradigm for Effortless Integration"
 date: 2025-02-18
-tags: ["querylink", "integration", "entity-framework", "linq", "sql", "fullstack", "database"]
+tags: ["ByteAether.QueryLink", "QueryLink", "Integration", "Entity Framework", "LINQ", "SQL", "Fullstack", "Database", "Blazor"]
 image: header.png
 ---
 In today's fast‐paced software development world, engineers are often forced to write repetitive integration logic to connect user interfaces - especially data grids and tables - to their backend data sources. Every project, every new feature, and every iteration seems to reintroduce the same challenges: how do we reliably filter, sort, and display data without reinventing the wheel each time? The answer lies in automating these common tasks, thereby freeing developers to focus on business logic rather than boilerplate code.

public/css/index.css

@@ -123,6 +123,11 @@ h4 {
 	font-size: 1rem;
 }
 
+blockquote {
+	border-left: 4px solid var(--accent-color);
+	padding-left: 1rem;
+}
+
 .content-wrapper {
 	display: grid;
 	grid-auto-flow: column;
@@ -152,9 +157,9 @@ aside {
 pre,
 code {
 	font-family: var(--font-family-monospace);
-	overflow: auto;
-	max-width: 100%;
+	white-space: break-spaces !important;
 }
+
 pre:not([class*="language-"]),
 code:not([class*="language-"]) {
 	margin: 0;