#multi-model programming
347 related articles
·2 min
Complete Tutorial: Building Agents and Personal Knowledge Bases with DeepSeek
A complete guide to building AI agents with DeepSeek R1: private knowledge bases using RAG, basic/advanced agent implementation, and Coze/Dify workflow tutorials.
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·3 min
Perplexity Max Deep Dive: Is the $200/Month Plan Worth It? The Truth About Credit Consumption
A Reddit user's real experience with Perplexity Max ($200/month): 15,000 credits burned on one task, failed Grok integration, and complex MCP setup. Is it worth it?
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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
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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·2 min
Beware of the 'Free GPT-5.6' Scam: A Full Breakdown of AI Fraud Tactics
Videos promoting 'Free GPT-5.6 SOL' are circulating on Bilibili. This article exposes the fictional product, fake benchmarks, and manipulation tactics behind this AI scam.
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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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·3 min
Bun Rewrote a Million Lines of Code in 11 Days with Claude Code: A New Paradigm for AI-Assisted Programming
Bun author Jared Sumner used Claude Code's dynamic workflows to rewrite 1M+ lines of Zig code into Rust in 11 days for $165K — what 3 engineers would need a year to do.
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·2 min
Spring AI in Action: A Complete Guide to LLM Integration for Java Developers
Spring AI is Java's answer to LangChain — offering unified multi-model APIs, structured output, RAG, Tool Calling, and MCP protocol support for enterprise LLM development.
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·3 min
Tencent Hunyuan Hy3 Free Access Guide: 5 Channels to Try It at No Cost
Tencent Hunyuan Hy3 is live — here are 5 free access channels including WorkBuddy, Hermes Agent, OpenRouter, SiliconFlow, and WeChat Mini Program (up to 100M tokens).
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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
Getting Started with Dify: A Complete Guide to Building Enterprise-Grade AI Apps with Low-Code
A complete guide to Dify, the low-code AI app platform: five app types, multi-model setup, Docker deployment, and enterprise data security. Build LLM-powered workflows and Agents at minimal cost.
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YouTrackDB Deep Dive: Core Features an…
·3 min
YouTrackDB Deep Dive: Core Features and Use Cases of an Object-Oriented Graph Database
YouTrackDB is a general-purpose object-oriented graph database combining OOP paradigms with graph data models, supporting classes, inheritance, and polymorphism for knowledge graphs, social networks, and recommendation systems.
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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
GPT-5.6 in Practice: How AI Becomes a Deep Co-Creator in Game Design
An indie dev's deep dive with GPT-5.6 (Sol) reveals AI that goes beyond coding — spotting gameplay loop flaws, predicting unit balance, and challenging rival model solutions.
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·3 min
LangChain V1.3 Hands-On Tutorial: A Complete Breakdown of RAG, Multi-Agents, and Engineering Mindset
An in-depth look at LangChain V1.3's core philosophy: from RAG to multi-agent workflows. Master LangGraph, Chain, and DeepAgent, learn token control and Human-in-the-loop, and become a true master of AI app development.
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·4 min
Codex Plans, DeepSeek Executes: A Practical Guide to Multi-Model Collaboration for Saving Tokens
AI programming burning through Tokens too fast? This guide covers the open-source Hand of Labor project's multi-model approach: Codex plans, DeepSeek executes—cutting AI coding costs while boosting output quality.
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·4 min
RoughCut: A Fully Automated AI Video Editing Tool Built with Codex
RoughCut is a fully automated AI editing tool generated by Codex, supporting talking-head, unboxing, and commentary modes with a semi-automated publishing system.
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·3 min
Getting Started with Cursor: A Complete Guide to the Core Features of AI-Native Programming Tools
Cursor is an AI-native programming tool deeply rebuilt on VS Code, integrating top LLMs like Claude and DeepSeek. It supports natural-language code generation, smart error fixing, and context awareness.
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·5 min
Multi-Model Tiered Deployment: Is an AI Gateway Worth Adopting?
More teams are adopting multi-model tiered scheduling. AI gateways solve cross-vendor API management, automatic fallback, and cost tracking — but add a new abstraction layer. Learn when a gateway is worth it.
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·6 min
Grok 4.5 Coding Benchmark: A Deep Dive into Performance, Speed, and Cost
xAI releases Grok 4.5, purpose-built for coding agents. 80 TPS speed, $2/M input tokens, SWE Bench Pro score of 64.7, and 4.2x better token efficiency than Opus 4.8. A deep hands-on review.
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