#self-hosted monitoring
100 related articles
Assess Your Engineering Team's AI Agen…
·3 min
Assess Your Engineering Team's AI Agent Maturity in 5 Minutes: A Tiered Framework and Key Dimensions
How to quickly gauge your engineering team's AI Agent adoption level? This article breaks down a four-tier AI maturity framework covering tool adoption, workflow integration, governance, and measurement.
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·2 min
Production LLM Deployment Guide: Model Selection, GPU Configuration, and Inference Engine Breakdown
A comprehensive decision framework for production LLM deployment: model selection (open-source vs. API), GPU VRAM configuration, and inference engine comparison including vLLM and TensorRT-LLM.
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·4 min
TigrimOSR: An Open-Source Agent Framework in Rust with Configurable Agent Loops
TigrimOSR is an open-source multi-agent system written in Rust, supporting full agent loop definition via YAML config files with only 250MB memory usage. A deep dive into Loop Engineering, Rust advantages, and self-hosted Agentic AI.
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·3 min
Enterprise AI Evaluation Tools: An In-Depth Comparison of Six Leading Platforms
An in-depth comparison of five AI evaluation tools—Arize, Braintrust, Confident AI, Langfuse, and LangSmith—across governance, framework lock-in, and evaluation vs. monitoring.
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·5 min
DCTS: A Deep Dive into an Open-Source Self-Hosted E2EE Encrypted Communication Platform
DCTS is an open-source, self-hosted instant messaging platform led by an individual developer, integrating E2EE and decentralized architecture across desktop and mobile.
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·3 min
The Complete AI Agent Development Workflow: A Seven-Step Guide from Requirements Analysis to Deployment
Want to build an AI Agent but don't know where to start? This guide covers the complete seven-step workflow—from requirements analysis, platform selection, prompt engineering, data storage, and UI building to testing and deployment.
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·6 min
Home Self-Hosting Server Setup Guide: Building a Private Cloud Ecosystem from Scratch
One 32GB server, 8 hours to build a complete home self-hosting ecosystem. This article details the selection logic behind core services like Jellyfin, Forgejo, Immich, and Ollama, plus infrastructure setup essentials for Nginx Proxy Manager and Podman Compose.
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·6 min
GPT-5.6 Now Widely Available: The Era of Three-Tier Models and Multi-Agent Orchestration Arrives
OpenAI releases GPT-5.6 (SOUL/TERRA/LUNA), with Ultra mode running four agents in parallel; Meta launches Muse Spark 1.1 with million-token context; ChatGPT desktop unifies Chat, Work, and Codex.
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·6 min
Zuckerberg Says AI Will Run Your Entire Business — But Data Ownership Risks Can't Be Ignored
Meta launched an enterprise AI agent, with Zuckerberg claiming it can "run your entire business." This article explores the commercial value of AI agents, the hidden risks of data ownership, and how different businesses can balance efficiency with data sovereignty.
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·4 min
AI Agent Development Deep Dive: Opportunities, Real Entry Barriers, and Learning Paths
A deep dive into AI Agent development: real architecture, entry barriers, and learning paths. From ReAct to multi-agent systems and LangChain — cut through the hype.
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·7 min
GLM-5.2 Released: Open-Source Coding Capability Approaches Closed-Source Flagships for the First Time
GLM-5.2 tops open-weight models in coding with a 74.4 Frontiers-WE score, beating GPT-5.5. Its MIT license enables local deployment, and the gap with closed-source flagships is closing fast.
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·7 min
The Agent Engineer Transition Roadmap: A Deep Dive into Three Core Skill Systems
Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.
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·6 min
Complete Guide to Deploying Dify Locally: Docker + Ollama + RAG Setup Tutorial
A detailed guide to deploying the Dify agent platform locally: from Docker setup and integrating Ollama + DeepSeek local LLMs to workflow orchestration and RAG knowledge base construction.
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·7 min
Otari: A Comprehensive Look at the Open-Source LLM Control Plane Tool
An in-depth analysis of the open-source LLM control plane tool Otari—covering unified multi-model access, cost observability, and security compliance governance to help teams build manageable, production-grade AI infrastructure.
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·4 min
Complete Guide to Connecting External Models in Codex: Two Methods to Unlock Full Capabilities
Two methods for connecting external models to Codex: manually configure keys via relay services, or use the CC Tool to auto-bridge GPT, DeepSeek, and more. Covers auth/config files, CC Tool usage, and multi-model switching.
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·3 min
GitHub Daily · July 6: The Agent Skill Ecosystem Explodes — AI Evolves from 'Capable' to 'Expert'
GitHub Trending July 6: Agent skill ecosystem explodes with taste-skill, marketingskills, dotnet/skills; multi-Agent orchestration matures; privacy-first projects thrive.
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·3 min
GitHub Daily · July 5: The Dual Narrative of Skill Ecosystem Explosion and Local-First AI
GitHub Trending July 5: Claude Code Skill ecosystem explodes, AI pen-testing tool Strix gains +2137 Stars, and local-first privacy apps surge.
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·6 min
Dify Self-Hosted Deployment in Practice: Building an Enterprise-Grade AI Application Platform from Scratch
A complete guide to self-hosting Dify, the open-source AI platform: environment setup, Docker Compose deployment, LLM integration, and app building. Runs on just 2 cores and 4GB RAM.
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·4 min
Dify Beginner's Guide: Interface Overview & Complete Docker Self-Hosted Deployment Guide
Complete guide to Dify's four core modules (Explore, Studio, Knowledge Base, Tools) with step-by-step Docker self-hosted deployment instructions for building production-grade AI apps.
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·3 min
CodeRabbit vs DeepSource vs Greptile: In-Depth Comparison of AI Code Review Tools
In-depth comparison of CodeRabbit, DeepSource, and Greptile — three leading AI code review tools analyzed across context understanding, static analysis, and architecture awareness to help teams choose the right solution.
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