#multi-model collaboration
272 related articles
·3 min
Cursor Alternatives Compared: A Guide to 5 AI Coding Tools
Compare 5 Cursor alternatives — from GitHub Copilot and Windsurf to open-source Cline and Continue — covering model freedom, workflow integration, cost, and privacy.
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·4 min
Notion Co-founder: From Note-Taking Tool to AI Agent Workspace
Notion co-founder Simon Last shares Notion's journey from note-taking tool to AI agent workspace: from first tasting GPT-4 to personal and custom agents.
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·4 min
Spring AI 1.0 Practical Guide: A Java Developer's Fast Track to Building AI Applications
Spring AI 1.0 is here — Java developers can now build AI apps without switching to Python. This guide covers LLM integration, RAG, intelligent customer service, and Agent patterns for enterprise deployment.
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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
Claude Code Artifacts Now Open: AI Agent Race Shifts Into High Gear
Claude Code Artifacts opens to Pro/Max users with real-time web deployment. Roundup of AI Agent news: Alipay Abao beta, ByteDance EdgeBench, Microsoft Frontier Company, and OpenAI/Anthropic compute strategies.
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·4 min
5 Tips to Cut Claude Opus 5 Costs by Up to 80%
Opus 5 moving to API billing? 5 proven tips to cut token costs by up to 80%: lower Effort Level, architect-executor split, Ponytail compression, Deep Research, and Advisor Mode — while outperforming Opus 4.8.
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·3 min
Opal: A Designer Built an AI Pet Assistant on Raspberry Pi Using OpenClaw
Microsoft designer Tua Nguyen built Opal, an AI rabbit assistant on Raspberry Pi using OpenClaw — capable of browsing the web, finding recipes, and operating GitHub.
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·3 min
The Complete Guide to AI-Native Architecture: RAG, Agents, and MCP
A comprehensive guide to AI-native application architecture: LLM inference, RAG retrieval (vector DB/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability — end-to-end.
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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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·3 min
The AI Video Agent Era: A Full Walkthrough of Creating a Professional Brand Film in Two Hours
LiblibTV's AI Agent feature tested end-to-end: from a one-sentence brief through storyboarding, Seed Audio music, and CapCut editing to a polished brand film in under two hours.
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·2 min
Perplexity Pro Quietly Swapping Models? Forced Sonnet Switching in MCP Scenarios Sparks Trust Crisis
Perplexity Pro users report that custom MCP connectors silently switch models to Claude Sonnet, ignoring frontend selections like Grok or GPT. Support denies it.
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·3 min
OpenCode In-Depth Review: Can This Open-Source Coding Agent Replace Claude Code?
OpenCode is an open-source terminal coding agent with 180K+ GitHub stars, supporting hundreds of models and a dual-layer agent architecture — completely free. See how it compares to Claude Code.
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·3 min
Coze Deep Dive: Core Capabilities and Tips for a Multi-Agent Collaboration Platform
A deep dive into Coze 3.0's multi-agent collaboration, covering project workspace architecture, credit economics, local tool integration, and a Dify comparison.
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·3 min
Open-Source Dynamic Workflows: How awman Enables Multi-Model Collaborative AI Programming
awman's --dynamic flag enables cross-framework dynamic workflows with multi-model collaboration. Explore its leader agent architecture, shared context design, and auto fault-tolerance mechanisms.
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·2 min
AI Coding Model Selection Guide: A Tiered Strategy from Budget to Flagship
A deep dive into tiered AI coding model selection: Deepseek and Mimo for daily tasks, Composer for serious dev, and Grok/GPT flagships for architecture planning.
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·2 min
Android Studio Parallel Chats: Run Multiple AI Agents Simultaneously and Stop Waiting
Android Studio's new Parallel Chats feature lets you run multiple AI agent tasks simultaneously, each with a different model — UI refactors, docs, and code explanations all at once.
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·3 min
Perplexity AI Deep Dive: The Perfect Fusion of Search Engine and AI Q&A
Deep dive into Perplexity AI: real-time web search + multi-model AI, transparent citations, Focus Modes, PDF chat, and collaborative Collections. Can it replace Google and ChatGPT?
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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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·3 min
AgentScope 2.0 Deep Dive: Six Core Upgrades for Production-Grade Multi-Agent Development
AgentScope 2.0 by Alibaba's Tongyi Lab delivers six major upgrades: typed event streaming, dangerous instruction interception, human-in-the-loop, concurrent execution, workspace system, and agent-as-a-service for production-grade multi-agent development.
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·3 min
Harness Architecture in Practice: A Deep Dive into Enterprise-Level Agent Projects
A deep dive into Harness architecture in enterprise Agent projects, covering MCP protocol, sandbox isolation, multi-model scheduling, and ASGI deployment — key topics for LLM job interviews.
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