ASTRYX DESIGN SYSTEMV1.0-FOUNDATION
UITalks Design System & Tokens
The code-first editorial design system tailored for engineering publications, deep technical reading, and developer interactions.
01 / Typography System
Newsreader (Serif) + Geist/Inter (Sans) + JetBrains (Mono)Display Title (font-serif font-black text-4xl/5xl)
Architecting Low-Latency Vector Pipelines
Article Section Heading (font-serif font-bold text-2xl/3xl)
Decoupled Memory Bandwidth Constraints in LLM Decoding
Subtitle / Deck (text-foreground-muted text-lg)
A deep dive into speculative decoding, token candidate verification, and GPU hardware cache locality.
Editorial Body Text (font-sans text-base leading-relaxed)
When scaling vector search across tens of millions of high-dimensional embeddings, standard relational scan patterns break down. By introducing Hierarchical Navigable Small World (HNSW) graphs, search query latency is reduced from linear time complexity to logarithmic bounds.
Monospace Code / Metadata (font-mono text-sm)
const cluster = new DistributedConsensusNode({ electionTimeout: 300 });
02 / Color Palette & Surfaces
Warm Paper (#FDFCF7) & Obsidian (#0D0E11)--background
Base Canvas
--surface
Elevated Cards
--code-bg
Technical Snippets
--accent (Amber)
Brand & CTAs
03 / Header Search Bar (Full Behavior)
420ms cubic-bezier transition · Cmd+K shortcut · Clear & SubmitInteractive preview of the rounded pill search bar with width expansion, platform detection, and right-hand action controls:
04 / Interactive Primitives & Buttons
Astryx + UITalks VariantsButtons
Badges & Category Chips
FEATUREDSystem DesignPostgreSQL0.15ms LATENCY
05 / Developer Code Block Component
Filename header, copy action, line numberingsrc/engine/vector-query.ts
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import { Database, VectorStore } from "@uitalks/vector-engine";
export async function queryEmbeddings(prompt: string): Promise<SearchResult[]> {
const embedding = await generateVectorEmbedding(prompt);
const db = new Database({ poolSize: 20 });
// HNSW Cosine Distance Query with sub-15ms latency
const results = await db.query(`
SELECT id, title, 1 - (embedding <=> $1) AS cosine_similarity
FROM technical_articles
WHERE status = 'published'
ORDER BY cosine_similarity DESC
LIMIT 5;
`, [embedding]);
return results.rows;
}06 / Editorial Card Layouts
Featured vs Standard GridFeatured Flagship Variant
Standard Grid Variant
