#MiniMax M2
227 related articles
·5 min
From Vibe Coding to AI Engineering: A Complete Guide to Enterprise-Grade Development
In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.
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·4 min
Beyond Vibe Coding: A Complete Guide to Enterprise-Grade AI Engineering
Hit the Vibe Coding ceiling? This guide covers the three-stage AI coding progression path, Claude Code vs. Codex, SuperPower SDD, and how to go from vibe coding to enterprise-grade AI engineering.
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·3 min
Qwen3.8 Deep Dive: How Does a 2.4 Trillion Parameter MoE Model Claim Second Place?
Alibaba's Qwen3.8 challenges larger models with a 2.4T-parameter MoE architecture, claiming second only to Gemini. A deep dive into MoE mechanics, continuous updates, two-speed release strategy, and real local deployment requirements.
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·3 min
The Three Core LLM Job Roles Explained: Entry Requirements and Career Roadmaps
A deep dive into the three core LLM job roles — Application Engineer, R&D Engineer, and Algorithm Engineer — covering academic requirements, salaries, and skill roadmaps.
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·3 min
AI Manga Drama Production: Full Workflow from Image Generation to Monetization
A complete guide to AI manga drama production: covering Jimeng, Hailuo, ComfyUI video generation, MiniMax voiceover, Topaz upscaling, and editing — for everyday creators.
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·2 min
AI Predicts the World Cup: 6 Models Backed France, Claude Alone Picked Spain — and Got It Right
8 AI models predicted the World Cup winner: 6 picked France, only Claude picked Spain. After Spain knocked France out 2-0, this experiment raises deep questions about AI herd behavior and independent judgment.
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·2 min
Vibe Coding vs AI Engineering: A Practical Enterprise-Level Comparison Guide
A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.
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·2 min
Claude Code with Open-Source Models: Why Cache Misses Happen and How to Fix Them
Why Claude Code cache misses occur with DeepSeek and MiniMax, how Prompt Cache and KV Cache work, and practical solutions including API proxy layers and stable prefix strategies to cut AI coding costs.
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·2 min
High Schooler Builds Pokémon AI Solo: A Technical Breakdown of a Top-1% Ladder Climb
A high schooler's solo Pokémon Showdown bot reached top-1% globally using MCTS and a value network. We break down the hybrid search+learning architecture behind its 2137 Elo rating.
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·3 min
OpenClaw Multi-Agent AI Programming Workflow in Practice: From Coder to Manager
Deep dive into OpenClaw multi-agent AI programming workflows: context layering, CMUX parallel terminal management, work trees, and manager-perspective debiasing for scalable AI dev automation.
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·3 min
Pi Agent Review: A Minimalist Coding Agent That's Lightweight, Efficient, and Highly Customizable
Pi Agent hands-on review: ~1,200 token overhead, no built-in system prompts, supports Codex/Grok and more. Compared to Claude Code and OpenCode, Pi Agent wins with minimalist design and full customizability.
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·3 min
AI Coding Agents Explosion: CodeWell Goes Open Source, Kimi K3 Launches, Claude Gets Browser Access
CodeWell open-sources a multi-model terminal coding agent, Kimi K3 launches with ultra-long context, MiniMax Code 2.0 rebuilds its Agent architecture, and Claude gets browser access. AI is accelerating from content generation to task execution.
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·3 min
AI Testing End-to-End in Practice: A Complete Guide from Test Case Generation to Agent Automation
A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.
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·3 min
Vibe Coding in Action: How AI Collaboration Built an Award-Winning Sleep Aid Product
A Bilibili creator used Vibe Coding to independently build 'Breath Garden,' an AI sleep companion app, winning third place at the Tencent Music Hackathon. Full breakdown inside.
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·2 min
TradingAgents-astock: A Practical Guide to the Multi-Agent Research Framework for A-Share Markets
TradingAgents-astock is a multi-agent A-share research framework with free domestic data sources, seven debating analyst agents, and support for DeepSeek, Qwen, and more.
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·3 min
AI Teams in Action: How MiniMax M3 Uses Multi-Agent Collaboration to Reinvent Content Creation
MiniMax M3-powered AR assistant M-Code automates the full content creation pipeline through four specialized agents: planning, recording, drafting, and review.
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·3 min
DeepSeek V4 Coming Soon: Flash Version May Surpass HY3, GPT-5.6 Reasoning Budget Quietly Cut
DeepSeek V4 drops this month with native vision; OpenAI quietly cut GPT-5.6 reasoning budget; Anthropic extends Fable 5 access ahead of GPT-6; Seedance 2.5 hits 180s 4K video generation.
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·3 min
AI Tool Selection Guide for Test Engineers: A Hybrid Approach to Avoid Three Common Pitfalls
How should test engineers choose AI tools? This guide breaks down the pitfalls of pure AI solutions and recommends a hybrid strategy using tools like DeepSeek, TRAE, Claude Code, and Skill encapsulation.
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·2 min
Coze No-Code AI Agent Development: A Complete Guide from Getting Started to Deployment
Build AI agents without coding! This guide covers Coze's visual workflows, 60+ plugins, RAG knowledge bases, and persistent memory — plus version selection tips for beginners.
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·4 min
Claude Code in China: Model Selection & Cost-Saving Configuration Guide
How can Chinese developers access Claude Code affordably? This guide covers model selection (DeepSeek V4 Pro top pick), proxy vs. direct connection risks, environment variable setup, and Coding Plan cost-saving strategies.
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