Latest Tutorials

Learn about the latest technologies from fellow newline community members!

  • React
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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
  • Storybook
  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL
NEW

PNPM Tutorial for Monorepos and AI App Projects

A pnpm setup aimed at AI monorepos can roughly halve setup time and keep model artifacts versioned without the usual mess. The numbers below cover the three things you'll actually measure: install speed, disk footprint, and CI latency. That's enough to decide whether pnpm earns a spot in your…
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NEW

What Is AWQ in LLM Quantization and How to Use It

AWQ is a post-training quantization technique that packs large language models into 4-bit weight formats while shielding the ~1% of salient weights that actually drive quality. In practice it cuts VRAM roughly in half and buys 1.5–3× faster inference than FP16, which is exactly the kind of resource…
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NEW

Prompt Engineering Techniques for Better LLM Outputs

Zero-shot, few-shot, and chain-of-thought give strong baseline results. Meta prompting, self-consistency, and role prompting help when the pipeline gets complex. Group the techniques by difficulty and time. That gives you a rough sense of cost before you commit. *Time includes drafting, testing,…
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What Is an AI Application and How It Works

AI applications fall into five families: machine-learning prediction, natural-language processing, computer-vision analysis, robotics/automation, and expert-system reasoning. Each carries its own data needs and runtime behavior. *Difficulty is rated 1–5, where 1 is straightforward and 5 needs deep…
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AI Application Examples for Developers

Based on feedback from Newline learners, GitHub Copilot usually delivers the biggest raw time savings. Its tight integration with GitHub repos means it can suggest whole functions that already match your project's style. Most people see the gains within a day. The speed is not the whole story.…
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