345 related articles
Product ReviewsMistral Vibe is an open-source, free terminal AI coding agent by Mistral with sub-agents, async processing, and Slash commands — a powerful Claude Code alternative for developers.
Tech FrontiersDevin launches multi-instance parallel mode, letting developers dispatch multiple AI Agents for different tasks simultaneously. Analysis of its impact on development efficiency and how multi-Agent collaboration redefines the developer role.
Industry InsightsDeep analysis of the Claude Code performance degradation controversy caused by thought summarization, plus open-source tools: Mautica AI Agent platform, Hitry spreadsheet engine, and more.
TutorialsIn-depth analysis of three LLM engineer career paths (Application, R&D, Algorithm), bachelor's degree entry, core algorithms, salary benchmarks, and a three-tier learning roadmap.
Product ReviewsAra is an open-source Computer Use tool and OpenClaw alternative that uses multi-AI-agent collaboration to automate tasks. Explore its architecture, use cases, and competitive landscape.
Product ReviewsMinions is an open-source task control panel for Hermes Agent, offering a unified task board, smart monitoring, auto-retry, and escalation to solve silent failures and blocking in parallel AI Agent workflows.
Industry InsightsAI Agent token consumption is growing exponentially beyond enterprise budgets. Based on 15 real cases, this article analyzes cost overrun causes and provides strategies including model tiering, semantic caching, and token governance.
TutorialsHow to build an automated PR processing system using ACP protocol, ACPX workflow engine, and Kubernetes. From OpenCLO's 60K+ PR challenge to enterprise-grade multi-Agent orchestration.
Product ReviewsGlutra is an open-source multi-agent desktop app for batch creating AI employees, visual workflow orchestration, and real-time monitoring. Cross-platform support for building your AI one-person company.
Industry InsightsSurvey of 1,000+ enterprises and 3,500 AI use cases reveals: 44% see moderate ROI, 37% see high ROI. AI Agent adoption surged from 11% to 42%. Coding and risk use cases top the charts.
Deep DivesGoogle I/O 2025 unveils Gemini 3.5 Flash—4x faster than frontier models, outperforming its own flagship on coding and Agent benchmarks. Deep dive into its core capabilities and industry impact.
Product ReviewsDeep dive into Echo Agent, a self-hosted AI Agent OS featuring four-role collaboration, cognitive memory systems, LLM-driven security approval, and A2A/MCP protocol support.
Product ReviewsHerdr is a terminal management tool designed for AI Agents, supporting visual tracking and free switching between Claude Code, Codex, Aider and more, with remote management and mobile support.
Product ReviewsIn-depth analysis of how open-source AionUI evolves from chatbox to AI Agent workbench, covering built-in Agents, CLI Agent integration, file deliverables, remote access, and multi-Agent collaboration.
Deep DivesThe core of AI alignment is aligning What to do, not How to do. Through an Alembic database migration case, learn how Harness engineering crystallizes dev standards into reusable assets for automated programming.
TutorialsA deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
Product ReviewsIn-depth comparison of six AI Agent frameworks—AutoGen, LangChain, LangGraph, Google ADK, OpenAI Agents, AgentScope—covering architecture, ecosystem maturity, and practical selection advice.
TutorialsDeep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
Deep DivesDeep dive into AI code review system architecture with AST parsing, RAG retrieval, and vector databases. Learn how to boost review effectiveness from 30% to 80%.
TutorialsA systematic 2025 LLM career transition roadmap covering Python, Transformers, LangChain, LlamaIndex, RAG, Agent development, and fine-tuning across three phases achievable in 2-3 months.