Claude Code is Anthropic’s terminal AI coding assistant that can read your entire codebase, edit files, and run shell commands. This tutorial walks you through installation and practical usage, so you can understand how to use this AI tool step by step. Once you learn to issue commands, you can direct Claude Code with natural language to refactor code, fix bugs, build tests, and more development tasks, dramatically boosting your efficiency.

AI Agents often say ‘you should verify this’ to deflect responsibility - this is the model’s conservative tendency. YES Discipline Engine is a set of behavior rules embedded in the system prompt, making agents not guess, not deflect, and only claim completion with evidence. When asked ‘why did the API return 401?’, the agent will run curl itself to find the cause and fix it, instead of just giving suggestions.

The author shares how integrating an AI coach into team meetings boosted adoption from 15% to 82%. The key is changing when AI appears - bringing AI in before the meeting starts, not after. The three-layer questioning method covers basic organization, context mapping, and strategic analysis, helping teams see the full picture. To overcome team resistance, position AI as a “coach that helps you see blind spots” rather than a “tool that does the work for you.”

Google Chrome’s AI Skills feature lets you save and reuse AI prompts. From an AI developer and productivity tool perspective, we compare Claude Code Skills and OKX Agent Skills to analyze how this “AI Skills standardization” trend impacts developers’ daily workflows.

Google officially opens Gemini Robotics-ER 1.6 to developers via Gemini API and Google AI Studio—the first multimodal model with spatial reasoning and real-world perception. This article breaks down its core capabilities, API integration methods, andpractical deployment scenarios for robotics, industrial automation, and AR from a developer’s perspective.

Anthropic launches Claude Design, powered by Claude Opus 4.7 visual model, allowing users to create interactive prototypes, wireframes, presentations, and marketing materials through conversation without any design experience. The coolest feature is one-click handoff to Claude Code for direct implementation, completing the entire process from idea to production code within the Anthropic ecosystem. This tool targets not professional designers but PMs, founders, and marketers who previously didn’t use Figma, directly challenging Figma’s 80-90% market share in UI/UX design.

NVIDIA releases the world’s first open-source quantum AI model family “Ising,” designed to tackle quantum computing’s two core bottlenecks: calibration and error correction. Ising Calibration compresses calibration time from days to hours, while Ising Decoding boosts error correction speed by 2.5x and accuracy by 3x. Jensen Huang states that AI will become the quantum computer’s operating system, ushering in a new era of quantum-GPU supercomputing.

Google DeepMind has released Gemini Robotics-ER 1.6, an embodied reasoning model purpose-built for robotics. It enables robots to accurately understand spatial relationships, read analog gauges, determine task completion, and is now available to all developers through the Gemini API and Google AI Studio. What does this mean for AI-powered robotics?

Google introduces Skills feature for Chrome, supporting saving and one-click reuse of Gemini prompts, marking the browser’s official transition into an AI workflow platform.

This tutorial covers the five core steps of AI quantitative trading from scratch: data collection & cleaning, strategy design, backtesting, out-of-sample (OOS) validation, and deployment & monitoring. It explains three key advantages of AI over manual trading - emotional stability, processing speed, and consistency - and shares key techniques to avoid the backtest-to-live trading gap.