#LLM selection
1309 related articles
·4 min
Harness Engineering in Practice: Integrating AI-Driven Development into Enterprise Workflows
A deep dive into Harness Engineering methodology — from Prompt Engineering to Context Engineering to Harness Engineering — covering enterprise setup, Skill systems, and pipeline-style AI programming.
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·3 min
Building a DeepSeek Agent from Scratch: Principles, Token Optimization, and Bootstrapped Development
Learn how to build a DeepSeek V3 AI Agent from scratch with zero dependencies, covering Agent loop mechanics, token optimization, cache hit strategies, and bootstrapped development.
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·3 min
Firebase AI Logic Deep Dive: Hybrid Inference, Prompt Templates & Multi-Layer Security Deployment
Deep dive into Firebase AI Logic: server-side prompt templates to prevent leakage, Cloud Function triggers, four-layer security defense, AI monitoring with context caching for cost control, and cross-platform hybrid inference.
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·2 min
Frontend to AI Agent Architect: A Complete 3-Month Learning Roadmap
How can frontend engineers transition to AI Agent development? A systematic 3-month roadmap covering AI concepts, model selection, team productivity, and Agent architecture.
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·2 min
MiniMax M3 Launches on Fireworks: 512K Context and MSA Sparse Attention Explained
MiniMax M3 launches on Fireworks with 512K context and multimodal input. MSA sparse attention delivers 9x prefill and 15x decode speedups. Deep dive into architecture, pricing, and open-model competition.
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·3 min
Fireworks AI Launches Qwen 3.7 Plus: Zero Data Retention and 99.9% SLA for Enterprise Deployment
Fireworks AI launches Qwen 3.7 Plus with latency/throughput optimization, zero data retention, and 99.9% SLA enterprise guarantees. Explore the full-stack deployment solution for commercial open-source model inference.
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·4 min
AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer
A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
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·3 min
Zed Editor Hands-On: 6x Faster Startup — A Lightweight Alternative for AI Coding on Older Hardware
Real-world comparison of Zed vs Cursor: startup speed, memory usage, and AI coding experience. Built in Rust, Zed launches in 3 seconds with minimal RAM usage — ideal for developers with limited hardware.
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·4 min
Building a 2D Shooter with Cocos + Trae: A Complete Zero-Code AI Programming Walkthrough
Learn how to build a Vampire Survivors-style 2D shooter using Cocos Creator and Trae CN with zero coding — from setup and design docs to AI code generation and debugging.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·3 min
9 Failure Modes and Best Practices Guide for the GrillMe Skill
Deep dive into 9 common failure modes of GrillMe and GrillWithDocs skills, covering scope control, question fidelity, model selection, parallel sessions, and more best practices.
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·4 min
Agent Tool Selection Guide: A Comprehensive Comparison of API, CLI, MCP, Browser Use, and Computer Use
Compare 5 Agent tool types: CLI, API, MCP, Browser Use & Computer Use on speed, accuracy, and token cost. Includes a selection priority table to cut costs and boost Agent efficiency.
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·2 min
Trae CN Download & Installation Guide: A Beginner's Guide to AI-Powered Coding
Complete guide to downloading and installing Trae CN, covering Windows & macOS setup, first-time configuration, Builder & Chat modes, and third-party AI model integration for beginners.
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·3 min
How Preply Is Redefining Language Learning with AI + Human Tutors
Deep dive into how Preply combines AI features like Lesson Insights with 100K human tutors to achieve 70%+ adoption rates, redefining personalized language learning.
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·4 min
Local Deployment of Claude Code: Principles and Practical Guide for Three Approaches
A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.
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·3 min
Complete Guide to LangChain 0.3: Module Architecture & Core Development in Practice
A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.
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·3 min
Enterprise AI Agent Architecture in Practice: Sandbox Isolation and Skill Management Explained
Deep dive into enterprise AI agent architecture covering HARIS task decomposition, sandbox isolation, Skill persistence, MCP tool integration, and user-level memory systems.
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·4 min
AI Full-Stack Development Architecture: A Three-Layer Progressive Path from Prototype to Production
A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.
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·3 min
AI Agent Learning Roadmap: A Four-Step Practical Guide from Zero to Job-Ready
A proven AI Agent learning roadmap covering four core elements, mainstream architecture patterns, multi-agent collaboration, and hands-on projects to go from zero to job-ready in three months.
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·3 min
Deploying a Multimodal AI Agent Locally on a 3080Ti: VRAM Management and a Deep Dive into All Five Modules
A detailed guide to deploying a multimodal AI Agent on a 3080Ti with 12GB VRAM, covering LLM, STT, TTS, image and video generation module selection, dynamic VRAM loading, and real-world performance.
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