Engineering Resilient Edge AI: Practical Model Quantization and Deployment
How to take complex deep neural networks and quantize them for low-power edge microcontrollers with sub-50ms latency and minimal accuracy loss.
Design tokens represent the foundational design choices of an organization: color palettes, typographic scales, spacing units, elevation shadows, and motion timing curves.
By binding these tokens directly into Tailwind CSS configuration and CSS variables, any brand refinement cascades immediately across all components without manual search-and-replace refactoring.
One of the most common pitfalls in Next.js App Router applications is adding 'use client' at the root of a page component simply because a navigation drawer or button uses an onClick handler.
A disciplined architecture keeps pages and layouts as React Server Components by default. Interactivity is isolated into small client leaf components, drastically reducing initial JavaScript bundle sizes and improving First Contentful Paint (FCP).
// Leaf client component handles interactivity only
"use client";
import { useState } from "react";
export function ProjectFilterButtons({ categories, active, onSelect }: Props) {
return (
<div className="flex flex-wrap gap-2">
{categories.map((cat) => (
<button
key={cat}
onClick={() => onSelect(cat)}
className={cat === active ? "bg-primary-900 text-white" : "bg-white text-brand-text"}
>
{cat}
</button>
))}
</div>
);
}Never sacrifice server-side streaming and SEO metadata by turning entire route layouts into client-side single page apps.
A truly professional design system treats accessibility (WCAG 2.2 AA) as a non-negotiable requirement. Modals must trap focus, dropdowns must support keyboard navigation, and interactive elements must feature high-contrast visible focus rings.
Testing with screen readers and keyboard-only navigation should be integrated into your team's pull-request checklist.
A robust design system is not just a UI library; it is a shared language between product, design, and engineering that accelerates velocity while maintaining uncompromised quality.
NEELAXI Frontend Core Team
Systems Architecture Lab
How to take complex deep neural networks and quantize them for low-power edge microcontrollers with sub-50ms latency and minimal accuracy loss.
Architectural blueprints for handling high-frequency sensor streams, time-series compression, and anomaly detection at scale.
Our systems engineering team welcomes technical peer review, questions, and open-source contributions.