#AI engineering
59 related articles
Tutorials
PyCharm AI Assistant Deep Dive: Local …
·2 min
PyCharm AI Assistant Deep Dive: Local Completion, Edit Mode & Practical Tips
Explore PyCharm AI Assistant's new features: free local AI completion, cloud-powered generation, Chat & Edit modes, and context management tips for Python developers.
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Tutorials
6 Must-Have MCP Plugins to Supercharge…
·3 min
6 Must-Have MCP Plugins to Supercharge Your Claude Code Productivity
6 must-have Claude Code MCP plugins: File System, Structured Thinking, GitHub, Chrome DevTools, Context7, and Memos—build a complete AI programming workflow.
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Product Reviews
Warp 2.0 Deep Dive: An AI Development …
·3 min
Warp 2.0 Deep Dive: An AI Development Environment with Multi-Agent Parallelism
Deep dive into Warp 2.0's Agent Development Environment (ADE): multi-agent parallel orchestration, terminal editor, AI coding platform, hands-on SaaS app building, and comparison with Cursor and Claude Code.
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Product Reviews·2 min
14,000-Star Open Source Tool: Clone Any Website with One AI Command
Deep dive into Website Cloner, a 14,000+ Star open-source project that uses a four-step AI pipeline to clone any website into a runnable Next.js project with one command.
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Product Reviews·3 min
Cursor 3.0 Deep Dive: Rust Rewrite, In-House Model & Agent Orchestration Platform Fully Explained
Deep analysis of Cursor 3.0's three core upgrades: Rust rewrite leaving VS Code behind, in-house Composer 2 model with 86% cost reduction, and Agent Windows for multi-agent parallel development.
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Product Reviews·2 min
Devin 2.0 Deep Dive: What Can the First AI Software Engineer Actually Do?
Deep dive into Devin 2.0 — the latest evolution of the world's first AI software engineer. Exploring autonomous coding, multi-agent parallelism, Ask Devin, Deep Wiki, and how it differs from Copilot and Cursor.
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Deep Dives·3 min
Single-Agent vs Multi-Agent: A Three-Step Decision Framework for Choosing the Right Architecture
Based on Anthropic's engineering practices, a detailed three-step decision framework for single-agent vs multi-agent architecture: bottleneck identification, technical feasibility, and business value filtering.
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Tutorials·3 min
Claude Agent SDK + LiteLLM + Local LLMs: Building a Zero-Cost AI Agent Platform
Learn how to redirect Claude Agent SDK API requests to local LLMs via LiteLLM Proxy, achieving zero-cost inference while retaining full agent framework capabilities.
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Tutorials·2 min
Claude Code Sub-Agent: A Practical Guide to Multi-Agent Collaboration for Enhanced Development Efficiency
Deep dive into Claude Code Sub-Agent mechanism with a practical blog writing + Git commit case study, showing how multi-agent collaboration solves instruction loss and context bloat issues.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Tutorials·3 min
Open-Source Multi-Agent Intelligent Diagnostic System: Deep Dive into MCP + RAG + Skill Routing Architecture
Deep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
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Deep Dives·3 min
Why Pure Vector Search Fails at Precision: A Deep Dive into Enterprise Hybrid Retrieval Architecture
Deep analysis of why vector search fails at exact keyword matching, with a breakdown of enterprise hybrid retrieval architecture for RAG: keyword search as safety net, vector search for UX, RRF fusion, and query routing.
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Tutorials·3 min
The Complete Guide to Claude Code: From Personal Assistant to AI Agent Development
A systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.
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Tech Frontiers·2 min
Kimi K2.5 Fully Open-Sourced: Deep Dive into 1T Parameter MoE Architecture + Agent Cluster Capabilities
Deep dive into Moonshot AI's fully open-sourced Kimi K2.5: 1T parameter MoE architecture, Vision-to-Code capabilities, and 100-Agent parallel cluster system topping open-source benchmarks.
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Product Reviews
OpenAI Codex Multimodal in Practice: T…
·3 min
OpenAI Codex Multimodal in Practice: Turning Whiteboard Sketches into Polished Frontend Apps in Seconds
Deep dive into OpenAI Codex's multimodal demo: from whiteboard sketch photos to auto-generated 3D globe frontend apps, analyzing visual self-inspection, responsive validation, and one-off data visualization capabilities.
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Tech Frontiers
Google Anti-Gravity 2.0 Explained: The…
·1 min
Google Anti-Gravity 2.0 Explained: The Multi-Agent Development Platform Replacing Gemini CLI
Google Anti-Gravity 2.0 officially replaces Gemini CLI with a desktop app, CLI terminal, and SDK. Powered by Gemini 3.5 Flash, it supports multi-Agent parallel collaboration and one-click Managed Agents deployment.
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Industry Insights·2 min
OpenAI Codex Powers a Self-Improving Tax AI Agent: A New Paradigm for Closed-Loop Evolution
OpenAI and Thrive Holdings launch a Codex-based Tax AI with closed-loop self-improvement: error tracing, auto-fixing, and test validation. A deep dive into this new AI Agent evolution paradigm.
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Deep Dives
Using AI for Planning? You're Falling …
·2 min
Using AI for Planning? You're Falling Into the 'Always Agreeing' Trap
A game designer tested Doubao, GPT, and Gemini and found they always agree with you. This sycophancy bias turns AI into an echo chamber accelerator. Learn four principles for using AI correctly.
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