#concurrent development
543 related articles
Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Tutorials·4 min
NVIDIA Model Optimizer Post-Training Quantization (PTQ) Practical Guide
A deep dive into NVIDIA Model Optimizer's PTQ workflow, covering INT8/INT4 quantization principles, calibration methods, RTX GPU optimization, and best practices for deploying quantized LLMs on consumer GPUs.
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Deep Dives·3 min
AI Model Deployment Pipeline Friction: How TensorRT Systematically Eliminates Inference Optimization Bottlenecks
Deep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
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Deep Dives·3 min
NVIDIA Vera Rubin Platform Deep Dive: Solving the Scalability Challenge of Agentic AI Inference
Deep dive into NVIDIA's Vera Rubin platform Pod-level architecture and next-gen NVLink, revealing how it solves Agentic AI inference scalability bottlenecks and the industry shift from training-first to inference-first.
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Deep Dives·3 min
NVIDIA Dynamo Multi-Turn Agentic Interaction: Deep Integration of Streaming Tokens and Tool Calling
Deep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
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Deep Dives·3 min
The Truth About AI Writing Code: Can It Actually Program? A Complete Breakdown
Can AI really program? This article explains how LLMs generate code through massive training and pattern matching, and analyzes the true capabilities and limitations of AI coding tools.
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Deep Dives·3 min
Harness Engineering: The Core Engineering Methodology for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: its definition, six core components, and production practices. Learn why Prompt and Context Engineering aren't enough for production-grade AI Agent systems.
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Tech Frontiers·3 min
What Is Claude Managed Agents? Core Capabilities and Usage Guide for Anthropic's Hosted Agent Service
A comprehensive guide to Anthropic's Claude Managed Agents: core capabilities including Advisor Strategy, code execution, and web search, plus comparisons with third-party Agent frameworks.
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Tutorials·4 min
inaturalist-clumper: A Guide to Automatic Clustering of iNaturalist Observation Data
A detailed guide to Simon Willison's open-source tool inaturalist-clumper 0.1, which automatically clusters iNaturalist observation records by time and location, outputting JSON for nature blogs, data visualization, and static site integration.
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Tutorials·4 min
Open Agent Builder: Deployment Tutorial & Hands-On Guide for This Open-Source AI Agent Visual Builder
Complete guide to Open Agent Builder: an open-source visual AI agent builder with local deployment steps, stock analysis demo, and comparison with n8n and OpenAI Agent Builder.
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Industry Insights·4 min
AI Projects Command 2x the Rates While Traditional IT Struggles to Get Approved: The Real Freelance Market in 2024
In 2024, AI projects command day rates up to 4,000 RMB while traditional IT budgets shrink. A freelance developer's real experience reveals AI premiums, workflow orchestration differentiation, and B2B survival strategies.
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Product Reviews·4 min
Cursor vs Claude Code Real-World Comparison: Who Wins at Analyzing a 40K-Line Java Project?
Real-world comparison of Cursor vs Claude Code analyzing a 20-40K line Java project with identical models and prompts, testing code analysis, design pattern recognition, and test coverage assessment.
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Tutorials·3 min
FastAPI Beginner's Guide: Four Core Advantages and ASGI Architecture Explained
Deep dive into FastAPI's four core advantages: high-performance async IO, type hints, automatic API docs, and ease of use. Learn the CGI to WSGI to ASGI protocol evolution.
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Product Reviews·3 min
PaiAgent: A Lightweight AI Workflow Orchestration System Built with Vibe Coding
Deep dive into PaiAgent, a lightweight AI workflow orchestration system built with Spring AI and LangGraph4J. Explore its DAG engine design, differentiation from Dify/n8n, and Vibe Coding development insights.
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Tutorials·3 min
Google AI Studio Free Usage Guide: Experience Full-Power Gemini at Zero Cost
A complete guide to Google AI Studio's free tier — covering interface layout, Temperature and Thinking Level parameters, no-code Build apps, and quota strategies for Gemini 2.5 Pro.
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Product Reviews·3 min
Cursor 1.0 BugBot Hands-On: Can AI Automated Code Review Actually Find Bugs?
Hands-on testing of Cursor 1.0's BugBot: how AI automated code review finds real bugs like JWT exceptions and race conditions in 2 minutes, with one-click fixes via GitHub PR integration.
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Tutorials·4 min
UpCtl Technical Deep Dive: How Tmux + SSH Powers AI Agent Automated Deployment
Deep dive into UpCtl's technical implementation: Tmux Session management for stable AI Agent operation, SSH tunneling for hybrid cloud deployment, four-level knowledge base replacing vector database RAG, and Ticket workflows for automated dev-test-deploy pipelines.
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Product Reviews·3 min
Haiku 4.5 vs GPT-5 Mini vs GLM-4.6: Real-World Benchmark of Budget Coding Models
In-depth comparison of Claude Haiku 4.5, GPT-5 Mini, and GLM-4.6 across speed, cost, code quality, concurrency safety, and tool calling to help developers choose the right budget AI coding model.
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Tutorials·4 min
Java Developers Transitioning to AI: A Practical Path to a 50% Salary Increase When Switching Jobs
Java+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
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Expert Opinions·4 min
Is CI/CD Dead? The Continuous Computation Architecture Revolution in the AI Agent Era
Traditional CI/CD pipelines are being shattered by AI Agents. This article analyzes the shift from PR-driven to intent-driven architecture, exploring Pre-Merge queues, stateful environments, and multiverse development as new continuous computation paradigms.
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