Backend tech guide and AI engineering practice covering fundamentals, databases, distributed systems, high concurrency, system design, plus AI agents and large-model engineering.
The article introduces the open‑source drawio‑chart Skill, explains why draw.io remains valuable for editable technical diagrams, compares it with other AI drawing projects, details the workflow, constraints, installation steps, and shows how to generate and refine diagrams for documentation.
The article explains the technical differences between CLAUDE.md and Skill files, when to use each, their loading strategies, file structures, front‑matter fields, dynamic context, security considerations, and how Skills interact with Subagents, Plugins and Agent Teams in Claude Code.
AIGuide is a free, open‑source handbook that walks Java, Go, frontend, testing, and architecture professionals through the entire AI application development lifecycle—from LLM fundamentals and RAG to agents, system design, and practical AI‑assisted coding—providing real‑world scenarios, key parameters, pitfalls, and interview preparation.
Loop Engineering repackages existing concepts like Agent Loop, ReAct, and Workflow Graph, focusing on how Claude Code’s /loop and /goal commands enable autonomous, token‑aware agent cycles with defined triggers, goals, context, verification, and stop conditions, while highlighting practical design patterns, risks, and best‑practice examples.
This guide explains how to safely and effectively use Claude Code by structuring CLAUDE.md, managing layered permissions, leveraging Auto Mode, Sub‑Agents, Skills, MCP, and Git worktrees, and adopting disciplined prompting and workflow practices to avoid project‑breaking mistakes.
The article analyzes the sudden suspension of Anthropic's Claude Fable 5 due to U.S. export controls, contrasts it with Zhipu's rapid full release of GLM‑5.2 for the GLM Coding Plan, and discusses the models' capabilities, competitive landscape, and the surprising market valuations driving developer choices.
This article walks through connecting the free Agnes AI multimodal API to Claude Code, detailing the required setup, a small Java code‑generation task, image and video generation examples, skill creation, and performance observations to help developers evaluate its suitability for their workflows.
Kimi Work, the desktop agent mode of Kimi’s AI client, can read local files, control browsers via WebBridge, schedule tasks, and run up to 300 parallel sub‑agents, which the author demonstrates through an AI‑driven stock‑analysis radar and a custom Skill, noting strong capabilities but slower speed and stability issues.
In 2026 the backend job market is undergoing a dramatic shift, with AI deep‑binding, salary polarization and a surge in demand for AI‑engineered talent, prompting many developers to consider a new AI algorithm engineer track that promises higher salaries and rapid career growth.
CodeGraph builds a local code knowledge graph with tree‑sitter and SQLite, allowing Claude Code, Codex and similar AI tools to query a pre‑indexed graph instead of repeatedly scanning files, which the author’s benchmarks show reduces token consumption by 59%, cuts cost 35%, speeds responses by 49% and improves routing detection for many web frameworks.
