381 related articles

Deep dive into Wattage, an AI Agent token consumption profiling and cost regression protection tool, exploring its core features, industry context, and value for developers.

A step-by-step Pi Agent configuration tutorial covering installation, LLM connection, extension ecosystem, MCP setup, and Token-saving tips. Learn to build a truly controllable AI coding assistant.

A creator spent 40 days and 80 billion tokens testing the real limits of Vibe Coding. This article dissects why AI programming crashes in production: complexity, context limits, and compression loss.

Anthropic's Applied AI team breaks down a methodology for choosing AI models: building custom evals, avoiding three common pitfalls, measuring value by cost per success, and cutting costs with prompt caching and context engineering.

Hands-on review of xAI's Grok 4.5: one-shot web code generation and research figures rivaling top journal visuals. Covers core capabilities, Claude Opus comparison, and aggregation platform tips.
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.

Alibaba's Qwen3.8 challenges larger models with a 2.4T-parameter MoE architecture, claiming second only to Gemini. A deep dive into MoE mechanics, continuous updates, two-speed release strategy, and real local deployment requirements.

A detailed guide to a complete local AI character generation workflow: from the five golden rules of LoRA training and automated ComfyUI dataset construction to hands-on comparisons of Crea2, Ideogram4, and Wan for multi-character same-frame interaction—all running free on personal hardware.

Chinese open-source models rapidly close the capability gap with top closed-source AI. DeepSeek shocks the industry while Qwen matches global benchmarks.

Qwen 3.8 open source incoming, DeepSeek Resonics native coding agent debuts, Kimi pauses new subscriptions amid compute pressure, and Qiyimole shows domestic GPU interconnect solution at WAIC.

Can AI coding tools let non-developers replace programmers? This deep dive examines Vibe Coding's real limits, compares Claude Code vs. Codex, and reveals the methodology behind enterprise-grade AI-assisted software engineering.

Spring AI Alibaba Admin is a visual AI workflow platform for Java, comparable to Dify. It supports Dify-to-Graph migration, multi-model integration, and code export. This article covers core features and local deployment tips.

In-depth analysis of Claude Code customization methodology: from access, knowledge injection to tooling. Master context window management, zero-overhead Hooks, and MCP & Skills plugin primitives to build a scalable AI software engineering workflow.

Demystify large language models using middle-school math: LLMs are complex functions, training solves for parameters, and inference predicts next-token probabilities.

A comprehensive guide to AI-native application architecture: LLM inference, RAG retrieval (vector DB/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability — end-to-end.

Why Claude Code cache misses occur with DeepSeek and MiniMax, how Prompt Cache and KV Cache work, and practical solutions including API proxy layers and stable prefix strategies to cut AI coding costs.

Complete guide to deploying Claude Code on Amazon Bedrock: environment setup, cross-region inference, prompt caching, cost attribution, Guardrails, and the Mantle endpoint for enterprise compliance.

DeepSeek seeks $7B for custom AI inference chips; Zhipu AI explores ASIC. Deep dive into China's AI compute independence strategy, multimodal generation, agents, and hardware trends.

A four-stage AI Agent development roadmap: from core theory and ReAct paradigm to multi-agent collaboration and production deployment. Covers DeepSeek, Coze, Dify, and more.