#Depth Anything V2
187 related articles
·4 min
Four Core Strategies for Building Effective Claude Code Agents
Master Claude Code agents with four core strategies: planning, verification, context management, and system evolution. Move beyond Vibe Coding to systematic AI development.
Read more →
Three Prompt Styles Combined for AI Vi…
·2 min
Three Prompt Styles Combined for AI Video: A Practical Guide to Multimodal Control
Learn how to combine 3D block outs, hand-drawn storyboards, and character sheets as three prompt styles for AI video creation, boosting controllability and quality.
Read more →
·2 min
Deep Dive into Goose Open-Source AI Assistant: A Practical Guide to the 50K-Star Local Workbench
Deep dive into Goose, the 50K-star open-source local AI assistant. Covers MCP tool integration, multi-model switching, Recipes workflows, and comparisons with Codex and Cursor.
Read more →
·3 min
How to Write Prompts: Four Elements, Three Techniques, and Three Pitfalls Explained
Master prompt writing with the four-element framework (Role, Task, Requirements, Format), three techniques (few-shot, chain-of-thought, anti-hallucination), and avoid three common pitfalls for better AI results.
Read more →
·4 min
KV Cache Saves 20x on Costs: The Underlying Principles and Practical Tips for LLM Inference Optimization
Deep dive into how KV Cache reduces LLM API costs by 20x. From Transformer attention matrix multiplication overhead to prompt caching best practices, understand the fundamentals of AI inference cost optimization.
Read more →
·4 min
Vibe Coding in Practice: Three Strategies for Building an English Learning Game with Dramatically Different Results
Three controlled experiments compare pure Prompt, pre-prepared assets, and Godot engine strategies for Vibe Coding an English learning game — revealing dramatic differences in quality and Token cost.
Read more →
·2 min
Allbirds Pivots to AI: A Plan and Funding, but Zero Employees
Allbirds pivots from eco-friendly shoes to AI with a new CEO, ample funding, but zero AI employees. A deep dive into the logic, challenges, and industry lessons of a consumer brand's AI leap.
Read more →
·3 min
Coze Tutorial: A Complete Guide to Building Multi-Agent Systems from Scratch
A complete guide to building AI agents on Coze, covering core features, Dify comparison, skill store usage, workflow building, and multi-Agent collaboration — no coding required.
Read more →
·3 min
OpenAI's Head of Evaluations: Never Underestimate a Model's Capabilities
OpenAI's Frontier Evaluations lead Tejal Patwardhan shares insights on O1's jailbreak breakthrough, wet lab experiments beating human baselines, and building the AGI Index—revealing AI capabilities evolving faster than imagined.
Read more →
·3 min
Claude Code Permission Management Fully Explained: Configure It Right Before You Trust It
Deep dive into Claude Code's four permission categories (Bash, File, MCP, WebFetch), two-level config system, and three common pitfalls for safe AI coding.
Read more →
·2 min
The Era of Managed Agents: Anthropic vs. Google's Two Diverging Approaches
Deep analysis of Anthropic vs Google's Managed Agent architectures, pricing strategies, and selection guidance. Managed Agents are emerging as a new AI infrastructure product category.
Read more →
·1 min
Claude Code vs Codex vs Cursor vs Trae: In-Depth Comparison to Help You Pick the Right AI Coding Tool
In-depth comparison of Claude Code, Codex, Cursor, and Trae across workflow modes, core capabilities, and use cases to help developers pick the right AI coding tool.
Read more →
·4 min
Building a 2D Shooter with Cocos + Trae: A Complete Zero-Code AI Programming Walkthrough
Learn how to build a Vampire Survivors-style 2D shooter using Cocos Creator and Trae CN with zero coding — from setup and design docs to AI code generation and debugging.
Read more →
·3 min
Fed Up with Every AI Coding Assistant, a Veteran Game Developer Built His Own Coding Agent
Veteran game dev Mario tried every AI coding tool including Claude Code, found them all lacking, and built Pi — a minimalist, extensible coding agent framework centered on developer control.
Read more →
·4 min
Why Engineering Teams Are Cutting AI Spending: The Shift from Hype to Rationality
More engineering teams are cutting AI spending, reassessing everything from AI coding assistants to API costs. Learn why teams are shifting from hype-driven to value-driven AI investment strategies.
Read more →
·3 min
Xiaomi MIMO vs. Huawei Pangu AI Strategy Comparison: The Android vs. iOS Battle of the Agent Era
Xiaomi releases open-source MIMO Code while Huawei enters the Agent era with Pangu. Compare their AI strategies: Xiaomi's Android-like open ecosystem vs. Huawei's iOS-like vertical integration.
Read more →
·3 min
Codex vs Claude Code: An In-Depth Comparison of AI Coding Agents
In-depth comparison of Codex, Claude Code, and Cursor across pricing, features, GitHub integration, and team collaboration to help developers pick the best AI coding agent.
Read more →
·3 min
Getting Started with AI Agent Development: A Detailed Three-Stage Learning Roadmap
A complete roadmap for learning AI Agent development from scratch, covering Python & LLM basics, five core skills, and hands-on RAG projects in 1-2 months.
Read more →
·4 min
7 Context Management Tips to Save Tokens in AI Conversations
AI conversations getting worse over time? Master these 7 context management tips—including manual compression, cache rules, and streamlined instructions—to save tokens and boost Claude and GPT output quality.
Read more →
·3 min
OpenHuman In-Depth Review: Innovation Highlights and Privacy Concerns of a 15,000-Star Desktop AI Assistant
In-depth analysis of OpenHuman desktop AI assistant: anthropomorphic interaction, transparent memory tree highlights, and privacy risks behind its misleading "local-first" claims.
Read more →