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General Tech
Hackers can use 9 of the most popular AI tools to assemble massive botnets
"HalluSquatting" weaponizes LLMs' inability to say "I don't know."
2w ago
Next.js
How Next.js Development Services Speed Up Time to Market
Being the first to market is a definite advantage. Your product will be live in no time at all and you will begin to profit, receive feedback and outcompete the competition. Every week you spend fixing up set up and plumbing, is a week you're not learning from real users. There are a number of reasons why Next.js is becoming a popular choice for teams that want to launch fast, as it takes much of the friction out of the build process. In this guide, you will see in detail how Next.js development
2w ago9 min read
Web Dev
Next.js vs React Development: Which Fits Your 2026 Build?
So, what could be better for 2026 than Next.js or React Development? To get to the point: React is a UI library whereas Next.js is a framework that extends React with backend features and server rendering and routing. They are not in direct competition with each other, as Next.js leverages React as its underlying framework. Pick the simple React when you want to build simple client side applications, internal tools and widgets with a light and flexible setup. Next.js is a good choice if you need
2w ago9 min read
Next.js
How I add semantic search to a Next.js site using Sanity Embeddings
Sanity Embeddings semantic search in Next.js is one of those features that looks complicated from the outside but is surprisingly lean to wire up once you understand the moving parts. This post covers the current native Embeddings feature built into Sanity datasets — not the older Embeddings Index API, which Sanity is sunsetting. If you found a guide that talks about a separate embeddings-index resource you have to provision via the Management API, it is stale; skip it. Sanity's native Embedding
2w ago7 min read
React
7+ Best Shadcn Sheet Components for React and Nextjs
Key Takeaways Shadcn Sheet is a slide-over panel component built on Radix UI and Base UI primitives, installed via CLI using pnpm, npm, yarn, or bun. Each component uses a direct copy-paste approach, compatible with AI-assisted tools such as V0, Lovable, and Bolt. The components covered here were evaluated based on real UI usage in SaaS products, developer workflow speed, accessibility support, animation behavior, and production readiness. Choosing the wrong panel type (Sheet vs. Drawer vs. Dial
2w ago11 min read
Web Dev
How to Deploy Llama 3.3 70B with vLLM + Speculative Decoding on a $14/Month DigitalOcean GPU Droplet: 25x Faster Inference at 1/145th Claude Opus Cost
⚡ Deploy this in under 10 minutes Get $200 free: https://m.do.co/c/9fa609b86a0e ($5/month server — this is what I used) You're currently paying $15 per million input tokens to Claude Opus. That's $0.015 per 1K tokens. If you're running inference workloads at scale—whether that's document analysis, code generation, or reasoning tasks—this math doesn't work. I'm going to show you how to run a production-grade 70B parameter model with latencies that rival closed-source APIs, on a $14/month DigitalO
2w ago10 min read
Web Dev
In sitemap.xml, lastmod Is the Only Field Google Actually Reads
Open almost any generated sitemap and you'll find 1.0 on the homepage, always right below it. Both lines hit Google's crawler and get thrown away wholesale. The official docs say so in plain text. That landed as a small letdown the first time I confirmed it. Half the fields our tooling reflexively emits are decoration. Worse: the one field Google does care about is the one most sites get wrong. That field is lastmod. Today I built three sitemaps and validated each against the official sitemaps.o
2w ago11 min read
Web Dev
Top Web Design Services near me
Pinacle Web India provides one of the best website designing services in Vashi Mumbai, India. We provide quality websites in a shorter time frame with no bargains for quality. Your website is like the front door to your shop. So making a good first impression on your potential customers is essential. At Pinacle Web India, a web development company, we are a passionate bunch of web designers who love turning ideas into reality. Whether you are starting from scratch, giving your old website a new
2w ago6 min read
Web Dev
I Logged Every AI Suggestion During a Two-Week Client Project. These Were Actually Useful.
Context first: this was a mid-sized e-commerce platform rebuild, React frontend, Node backend, fairly standard stack. I kept a running note file next to my editor, tagging every suggestion as accepted-as-is, accepted-with-edits, or rejected, along with a one-line reason why. Not scientific, but honest. What Actually Turned Out Useful in Two Weeks of Real Work Boilerplate and repetitive patterns were where AI suggestions earned their keep, no contest. Writing the fifth nearly identical form valid
2w ago6 min read
Web Dev
Building an NLP Pipeline That Actually Understands Offer Text (with spaCy)
Building an NLP Pipeline That Actually Understands Offer Text nlp = spacy.load("en_core_web_sm") min_order_pattern = [ def extract_conditions(text): Rule-based matcher — catches conditions, thresholds, restrictions (high precision, domain-specific) pythondef parse_offer(text): Normalize before you tag. Scraped text has inconsistent casing, stray HTML entities, and unicode symbols like ₹ that trip up tokenizers if you don't clean them first. Why this matters beyond offers I write about backend sy
2w ago
Web Dev
Every Click Tells a Story: How Data Shapes the Modern World
Introduction Every day, millions of people scroll through social media, watch videos, shop online, search on Google, and use different applications. But have you ever wondered what happens behind every click, search, like, and purchase? Every digital action creates data. The video you watch, the product you view, the route you choose on maps, and even the content recommended to you are influenced by data. Today, data has become one of the most powerful resources in the world. Companies use data
2w ago5 min read
Web Dev
Building an AI Web Crawler That Outputs LLM-Ready Content Chunks
Building an AI Web Crawler That Outputs LLM-Ready Content Chunks The biggest challenge in building RAG (Retrieval-Augmented Generation) pipelines isn't the vector database or the embeddings — it's getting clean, structured content from web pages in the first place. Raw HTML is noisy, full of navigation, ads, and boilerplate that pollutes your embeddings. I built an AI Web Crawler that extracts clean, chunked content from any website — ready to feed directly into LLMs and RAG systems. When you fe
2w ago3 min read