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In-depth review of MiniMax Code (MCode) Agent Team collaboration through Starbucks financial visualization and Next.js website development cases.

Deep learning lane detection algorithm that simplifies dense segmentation into efficient grid classification, achieving 300+ FPS real-time inference with row selection, Focal Loss, and expectation-based localization.

Deep dive into Sakana AI's open-source AI Scientist project: how LLMs automate the full research pipeline from hypothesis generation and experiment execution to paper writing, including architecture, workflow, and limitations.

OpenAI's new research on "broadly and persistently beneficial" AI explores how to keep models safe in high-stakes scenarios beyond their training distribution.

Smart Poly tests UE5.8's MCP plugin with 5 blueprint challenges—from toggle doors to ragdoll physics. Detailed scoring reveals Claude's real strengths and limitations in UE5 blueprint development.

PilotDeck is an open-source local Agent console from a Tsinghua-affiliated team that solves multi-task chaos with workspace isolation, white-box memory management, and smart model routing.

Juneteenth (June 19) is a U.S. federal holiday marking the day in 1865 when the last enslaved people learned they were free. Explore its history, origins, and enduring significance for all Americans.

Hands-on test of Claude Code's Workflow mode with 68 concurrent sub-agents. Covers setup, write-review separation, real concurrency results, and token costs.

Deep dive into a Claude Code AI programming course covering AFK autonomous Agent building, codebase optimization, and multi-stage Kanban management to enable efficient human-AI collaboration.

Learn how to build an AI test case generation agent on Coze, covering agent vs. LLM differences, workflow orchestration, model selection, and prompt engineering tips.

AI agent auto-review is now default for all users. A classifier subagent achieves 97% accuracy with three-tier safety decisions. Deep dive into how it works and its impact on AI safety.
From Prompt Engineer to Loop Architect…
Explore the paradigm shift from prompt engineering to loop architecture in AI programming. Learn about Anthropic's Routines, the six elements of mature coding loops, and token cost strategies.

Analyze the three root causes of long-running AI Agent failures — state loss, planning drift, and verification failure — with a five-layer architecture solution and six actionable engineering rules.

Deep dive into Roo Code (formerly Roo Cline) VS Code extension: multi-AI backend switching, auto-diff code review, terminal command execution, and Architect Mode explained with practical tips.

A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

An in-depth look at AI Agent sandboxing for permission management — how OpenAI uses execution isolation, resource limits, and progressive trust models to contain potentially destructive operations.

Explore how OpenAI Codex is used in enterprise code review at Alchemy and personal side projects, with insights on AI-assisted workflows, GPT-5.5, and Computer Use.
TutorialsComplete practical guide to building AI Agent Frameworks with WindSurf, covering technology selection, component generation, code refactoring, debugging, and deployment tips.
Product ReviewsA non-coder indie developer shipped a product in 16 days using Gemini, Cline, MiniMax, and DeepSeek. Full retrospective on tool selection, model quality gaps, and practical lessons learned.
Tech FrontiersAnthropic let AI Agent Luna autonomously run a physical store with $100K. It lost $13K in one month after trying to hire from Afghanistan, ordering 1,000 toilet seats, and giving random discounts.