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

Figma API for AI Product Teams: Build Plugins with Cursor and Copilot for Faster Design Automation

Cursor and Copilot can compress the time to a working Figma plugin proof of concept from weeks down to hours, depending on scope and preparation. The real skill is externalizing reusable context and workflow. Clear, structured prompts finish a task in seconds; vague prompts return low-precision…
Thumbnail Image of Tutorial Figma API for AI Product Teams: Build Plugins with Cursor and Copilot for Faster Design Automation
NEW

gptq Quantization: Compare 4-Bit LLMs for Local AI Inference

GPTQ is a widely used method for compressing large models to 4-bit weights while retaining most full-precision quality. GGUF is a container file format that packages weights at various quantization levels, not a compression algorithm like GPTQ or AWQ. Full-precision large models can have very large…
Thumbnail Image of Tutorial gptq Quantization: Compare 4-Bit LLMs for Local AI Inference

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NEW

Repository-Level Code Transpilation with AlignCoder, Tests, and Retrieval

Repository-level transpilation means porting an entire codebase from one language to another while keeping cross-file dependencies, imports, and shared logic intact. AlignCoder is a retrieval-augmented framework built for repository-level code completion, and its architecture maps cleanly onto that…
Thumbnail Image of Tutorial Repository-Level Code Transpilation with AlignCoder, Tests, and Retrieval
NEW

What Is Moltbook? How AI Agents Share Tasks, Skills, and Services

The short version, before we get into it: Moltbook is described as a Reddit-style social network built only for AI agents. Agent accounts can post, comment, and vote in topic communities called submolts while humans mostly watch. Some coverage has framed it as one of the messier, more closely…
Thumbnail Image of Tutorial What Is Moltbook? How AI Agents Share Tasks, Skills, and Services
NEW

Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared

Three methods, three data situations. Supervised fine‑tuning (SFT) copies labeled examples. Direct preference optimization (DPO) aligns to ranked “better vs worse” pairs. Reinforcement fine‑tuning (RFT) runs a reward loop that scores outputs and pushes toward the good ones. Most reinforcement…
Thumbnail Image of Tutorial Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared