124 related articles

Learn how to connect AI agents to SQL Server via MCP protocol — wrapping DMV queries, managing multi-instance fleets, and enabling natural language ops with layered safety guardrails. Includes Docker deployment.

Deep dive into Coze's three core capabilities: multi-person multi-AI collaboration, customizable agents, and cross-platform project management. Covers credits, Dify comparison, and a practical learning path.

Is one-prompt app generation really that powerful? We break down three tiers of AI dev tools, expose the gap between demo and production, and compare top domestic platforms including Baidu Miaoda and Ant Lingguan.

PawFlow decouples vision and reasoning into two models, letting a text-only LLM reliably control a Linux desktop. A deep dive into its dual-model architecture, pre-click guard, and caching strategy.

Microsoft MVP Michael shares how AI Story Builders uses Claude Opus 4, RAG, and Knowledge Graphs to solve consistency in long-form AI fiction writing.
PlanWright: A Control Plane and Multi-…
PlanWright is a control plane for AI coding agents, drawing on Kubernetes orchestration principles to tackle multi-agent task assignment, state tracking, and collaboration conflicts.

OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.

A deep dive into how Knowledge Kernel builds a deterministic factual substrate for multi-agent AI through layered decoupling of reality, evidence, facts, and reasoning — with dataset_hash fingerprinting, atomic reloads, and observable telemetry.

Pylva is an open-source, self-hosted AI Agent billing engine with full usage tracking, flexible per-customer billing rules, and automated invoicing. A deep dive into its features and the economics of the Agent era.

Claude Code is Anthropic's local AI programming assistant that reads your entire codebase, auto-debugs, and delivers far higher accuracy than Cursor and Trae. Here's why it's the strongest AI coding tool today.

An in-depth analysis of the AI-driven software testing paradigm: with Skill and CLI as the core hub, supporting both platformized management and digital employees, helping testing teams transform from script writers into capability builders.

AI Agents are becoming the core form for deploying large models. This article explores the AI Agent Builder profession, revealing the SME deployment gap and a complete path from fundamentals to delivery.

The Hermes Agent gets a major upgrade with eight new features: native iMessage, parallel background sub-agents, Unreal Engine MCP support, a self-evolving Skill Hub, and more. A hands-on breakdown of the core changes and their real impact on personal AI automation workflows.

An AI research engineer with 3 years of experience sent 50 applications to FAANG with zero replies. This article breaks down the hidden barriers of top-tech AI roles, the truth about LinkedIn ghost jobs, and the MLE vs. Research Engineer divide.

OpenAI releases GPT-5.6 and integrates Codex directly into ChatGPT, letting developers invoke code generation and debugging within conversations. A deep dive into the product logic and ecosystem impact.

OpenAI launches Build Week, a global developer event centered on Codex AI coding tool, featuring live sessions and community events to help developers ship ideas fast.

OpenAI's new Sites tool lets anyone describe an idea and instantly generate a live, shareable website or lightweight app — no coding skills needed.

A systematic guide to Coze's core positioning, its differences from Dify/n8n, and its full capability system covering agents, workflows, and multi-agent modes—helping beginners get started fast.

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.

An exclusive look at the AI Engineer Summit dress rehearsals, decoding the paradigm shift from research to production. A deep dive into AI Engineer challenges, RAG, agent systems, and AI engineering as a distinct discipline.