#MiniMax Code 2.0
18 related articles
·4 分钟
Jensen Huang Joins 50 Silicon Valley Giants to Champion Open-Source Models: How Capital Logic Overrides Political Correctness
Jensen Huang's first-ever tweet backs open-weight AI. 50 Silicon Valley giants oppose banning Chinese open-source models. Deep analysis of the interests behind closed vs. open AI ecosystems.
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·3 分钟
The AI Coding Landscape: Model Tiers, Tool Camps, and a Deep Dive into MCP/Skills/CLI
A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.
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·3 分钟
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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·5 分钟
How Does AI Conquer Imperfect Information Games? A Deep Dive into Tactico
Chess and Go have been conquered by AI, but imperfect information games with hidden data are the true frontier. This article dives deep into Tactico: how imitation learning + self-play RL train AI toward Nash equilibrium.
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·6 分钟
The Eight-Step Method for Agent Development: A Practical Path from Pitfalls to Production
Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.
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·4 分钟
8-Step AI Agent Development Guide: From Zero to Production
Demo works but production fails? This guide covers the full AI Agent development path: when to use Agents, hand-writing ReAct loops, tool schemas, RAG, eval sets, and production fallback strategies.
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·3 分钟
Huawei Pangu 2.0-Flash Benchmark Review: #1 in Instruction Following, Last in Engineering Code
Huawei OpenPangu 2.0 Flash review: 92B MoE open-source model tops instruction following at 95.9, excels in math & Agent tasks, but scores last on SWE-Bench engineering code at 63.1.
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·6 分钟
Omnigent Open-Sourced: A Meta-Harness for AI Coding Agents Built by Databricks
Databricks open-sources Omnigent, a Meta-Harness for orchestrating Claude Code, Codex, and more AI coding assistants together—with built-in guardrails, cross-model workflows, and real-time collaboration. Get started in 10 minutes.
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·7 分钟
Tencent DiscoBench: The First Benchmark for Evaluating LLM Search Agents' Ambiguity Clarification Capabilities
Tencent Hunyuan and Tsinghua jointly release DiscoBench, the first benchmark evaluating search agents' dynamic ambiguity clarification. Covering 463 ambiguity instances across 11 domains, it reveals real weaknesses of mainstream LLMs.
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·7 分钟
Sakana Fugu vs GLM 5.2 Hands-On Test: Who Can Truly Challenge Top-Tier AI Models?
A head-to-head hands-on test of Sakana Fugu vs GLM 5.2 based on real Hermes agent workflows. Covering tool calling, frontend generation, and code improvement to reveal each model's true performance, speed, and value.
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·5 分钟
OSWorld 2.0 Benchmark: Top AI Agent Achieves Only 20% Completion Rate — Long-Horizon Tasks Are the Achilles' Heel
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.
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·5 分钟
OSWorld 2.0 Benchmark: Top AI Agents Achieve Only 20% Completion Rate — Long-Horizon Tasks Are the Fatal Weakness
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.
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·6 分钟
10 Billion Tokens in Practice: An In-Depth Review of Codex's Long-Horizon Engineering Capabilities
Creator Ajiang burned 10B Tokens on Codex to migrate cc-haha from Tauri 2 to Electron. A deep dive into Codex's long-horizon engineering, Computer Use, costs, and practical advice for developers.
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·2 分钟
Why Banks and Hospitals Must Use Local AI: A Complete Guide to Private Large Model Deployment
Why do banks and hospitals build Local AI instead of using cloud services? This guide covers the full tech stack — Ollama, RAG, vector databases — and real-world enterprise deployment use cases.
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科技前沿·3 分钟
GitHub Agent HQ Launch: AI Coding Tools Enter the Era of Platform Competition
GitHub Universe unveils Agent HQ platform for unified coding agent management, Copilot upgrades with multi-model support. OpenAI completes restructuring, Anthropic tests new model, NVIDIA open-sources AI models.
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产品体验·3 分钟
Augment Remote Agent Hands-On: Running 10 Cloud AI Agents in Parallel for Programming
Hands-on review of Augment Remote Agent: 10 cloud AI Agents coding in parallel, covering bug fixes, PR generation, documentation, and more with detailed workflows and real-world examples.
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产品体验·3 分钟
Trae + Doubao Seed 2.0 Hands-On: Building a Full-Stack Book Management System for Free
Hands-on test of Trae IDE with Doubao Seed 2.0 building a Django+Vue3 book management system for free, benchmarked against Gemini 2.5 and MiniMax models.
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科技前沿·2 分钟
Qwen Core Team Turmoil, OpenAI and Google Release New Models in Rapid Succession | AI Daily
Multiple core leaders depart Alibaba's Qwen team amid metric disputes. Same day: MiniMax Music 2.5+, OpenAI GPT 5.3 Instant, Google Gemini 3.1 Flashlight, and Seedance 2.0 pricing announced.
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