AI Engineering

Claude Code Hooks is a powerful automation feature hidden in configuration files, divided into three types: PreToolUse, PostToolUse, and Stop. These hooks can automatically insert scripts before AI executes a tool, after execution, or when a conversation ends. This article walks you through the setup process and provides three practical examples to help developers implement dangerous command interception, automatic code formatting, learning summaries, and more.

Complete technical guide: use the x402 protocol and AgenticTrade to let your AI agent automatically discover, pay for, and call external APIs. Includes Python SDK 15-line code example, agent wallet initialization, MCP service discovery, multi-agent team cost splitting, and why x402 makes $0.001-per-call microtransactions possible.

Complete comparison of AgenticTrade vs RapidAPI commission structures, features, and annual costs. AgenticTrade’s 10% commission is 60% less than RapidAPI’s 25%, with a free first month, MCP-native agent discovery, x402 microtransaction payments, and automatic USDC settlements. Save $9,000/year at $5K/month revenue.

List your AI API on AgenticTrade in under 5 minutes. 10% commission (first month free) — 60% less than RapidAPI. The platform handles MCP-native discovery, multi-rail payments (x402/crypto/fiat), reputation scoring, and automatic USDC settlements.

ByteDance’s Volcano Engine launched OpenViking, redesigning AI Agent memory with a filesystem logic. The three-tier loading mechanism (L0/L1/L2) lets Agents check the directory before deciding whether to open files, reducing token consumption from 24.6M to 4.3M and boosting task completion rate from 35% to 52%.

Complete breakdown of AI inference pricing, from free open-source models to $21 per million tokens for flagship APIs. Get the 2026 AI inference pricing map, understand token cost structures and cost optimization strategies, and see the real demand and investment opportunities in the AI industry.

Crypto tokens and AI inference tokens seem completely different, but the two worlds are converging at lightning speed. The AI inference market reached $100B in 2025, DePIN provides cheap compute, and a brand new token economy is taking shape.

AI Agents are evolving from chatbots into digital agents that can trade autonomously, but when AI can spend money on its own, verifying “who’s behind it” becomes crucial. World, Coinbase, Visa, and Mastercard are building identity verification infrastructure for the AI era, using zero-knowledge proofs and other technologies to let platforms verify that Agents represent real humans rather than malicious bots.

Tether launches QVAC Fabric LLM framework, achieving the first-ever fine-tuning of large language models on mobile phones. The framework integrates LoRA, BitNet, and Vulkan computing, enabling local AI model training without cloud servers, providing privacy-first, ultra-low-cost AI solutions for developers and enterprises.

The main difference between AI Agent and traditional trading bots is decision-making: traditional bots execute preset rules, while AI Agent can independently analyze market data and make decisions. Your choice depends on your experience level and strategy complexity, and the future trend is combining both.