59 related articles

A deep dive into LLM inference cost structure and profitability models—from GPU throughput, MoE architecture, and KV Cache to scale effects—revealing the business logic behind API price wars.

Deep dive into Agent skill routing: comparing pure model vs. pure retrieval approaches, with a detailed two-stage layered architecture balancing accuracy, latency, and cost.

Build an enterprise RAG knowledge base Q&A system using Spring AI 2.0, Cursor AI programming, Ollama local deployment, and Redis vector storage. Runs on just 4GB VRAM.

HuggingHack releases major updates with S3/MinIO storage, Ollama + vLLM dual-engine scheduling, GGUF inspection, and local accounts for enterprise-grade local LLM management.

A complete guide to Dify, the open-source AI application platform: its core positioning, key differences from Coze, workflow-building capabilities, and enterprise private deployment advantages.

DeepSeek open-sources DeepSpec, a full-stack speculative decoding library delivering 60–85% inference speedup and up to 661% throughput gains in production. MIT license, 9 checkpoints, 9 benchmarks.

An in-depth look at three core flow control nodes in Dify workflows: the Question Classifier for intelligent LLM-based routing, the Conditional Branch for precise if-else logic, and Human-in-the-Loop for high-risk confirmation checkpoints.

AI aggregator platforms promise one interface for GPT, Claude, Gemini, DeepSeek & more. This deep-dive covers core features, real value, data security risks, and safer alternatives.
Intelligent Model Routing: The Core Te…
Intelligent Model Routing is becoming key AI infrastructure. This article explores its principles, solution types, technical challenges, and implementation considerations to help developers balance cost, latency, and quality.

Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.
llmfit: One Command to Check Which Loc…
llmfit is an open-source Rust CLI tool that predicts whether your local hardware can run a given LLM — no model download required. Covers hundreds of models and backends like Ollama and llama.cpp.

How OpenAI Codex Cloud runs multiple tasks in parallel using isolated containers, async workflows, and PR review. A practical guide to agentic coding efficiency.
TurboVec: A Deep Dive into the Rust-Po…
TurboVec is a Rust-based vector index library powered by TurboQuant, with Python bindings for RAG, semantic search, and AI applications. A deep-dive into its architecture.

A deep dive into vLLM's five core features — KV cache management, continuous batching, and distributed inference — plus a full setup guide for deploying DeepSeek on a cloud server.

A deep dive into Impri — a structural human approval gateway for LangChain/LangGraph agents, exploring why prompt-level constraints fail and how code-layer gates enable reliable human-in-the-loop AI.

Deploy DeepSeek-V4-Flash DSpark on 8× H20-141G using GPUStack's SGLang backend on Day 0. Full walkthrough of Web UI config, parameter tuning, and 200 tokens/sec benchmark results.

A comprehensive decision framework for production LLM deployment: model selection (open-source vs. API), GPU VRAM configuration, and inference engine comparison including vLLM and TensorRT-LLM.

A deep dive into Distributed AI Systems: a new book distilling 10 years of AI engineering experience covering distributed training, inference optimization, and production model serving.
Can Vibe Coding Build a Hit Product? T…
A carrier pigeon messaging app built with vibe coding hit 350K MAU and high revenue? We break down the case, the real engineering limits of AI coding, and what it means for indie developers.

Anthropic's open-source Claude Cookbooks project offers runnable Jupyter Notebook examples covering RAG, Tool Use, multimodal processing, and more—helping developers master Claude API best practices.