60 related articles

Google Gemini API Managed Agents launches three key updates: Free Tier for universal access, Cost Controls for budget safety, and Scheduled Triggers for automated execution.

A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.

An in-depth analysis of Jenkins' technical architecture, plugin ecosystem, distributed builds, and use cases — explaining why it remains the CI/CD leader.

How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.

A Vue3 beginner tutorial centered on "learn just enough, apply immediately." A three-stage path covers reactivity, Composition API, Element Plus, and data visualization, culminating in an enterprise-grade AI health monitoring system with blood sugar management, RAG consultation, and doctor-patient collaboration.

A complete guide to Claude Code Skills: what they are, how they differ from Plugins, three installation methods, how to write SKILL.md, trigger mechanisms, and top resource recommendations.
DocuSeal: An Open-Source DocuSign Alte…
DocuSeal is an open-source, self-hosted e-signature tool built with Ruby — a strong DocuSign alternative. Learn its features, architecture, and deployment options.
shadcn/helpers Open-Sourced: createCha…
shadcn open-sources @shadcn/helpers with createChat — a utility for AI SDK and TanStack AI that enables scripted conversations, tool calls, and deterministic testing.
Capn-hook: Breaking the Cycle of Repet…
Capn-hook is an open-source hook-based tool that helps coding agents retain knowledge across sessions—eliminating redundant exploration and turning one-time discoveries into reusable engineering assets.
Agentic Loop Explained: The Three-Loop…
A deep dive into the Agentic Loop — breaking down the three-layer architecture of reasoning, tool use, and orchestration to help developers build and debug reliable AI agent systems.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.

Learn how to develop custom tools based on the Unity MCP Relay Server, enabling AI agents like Cursor to directly control the Unity editor. Covers setup, tool building, parameter validation, and MCP Pro comparison.

A developer stress-tested GPT-5.6 for six weeks across 67 projects, burning $180K-$240K in inference. Real cases of task persistence, Rust rewrites, autonomous browser control — plus honest frontend and 3D shortfalls.

Learn how to build smooth open/close popover animations using the HTML popover attribute, CSS Anchor Positioning, and @starting-style — zero JavaScript needed.

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.

Claude Code is one of the most powerful AI coding agents, running in the terminal to write code, batch operations, build web projects, and more. This guide covers installation, connecting local models via CC Switch, permission modes, CLAUDE.md, Skills, MCP, Subagents, and more.

ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.

A deep dive into Harness Engineering — the third phase of AI coding. Based on research across 2,853 GitHub repos, explore agents.md, Skills, MCP, and eight configuration mechanisms to control your AI coding assistant.

A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.

Through the practical case of the message-scroller component, this article delves into applying the Single Responsibility Principle in front-end component design—how to abstract scrolling logic independently and balance cost with long-term returns.