82 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.

SeaTicket is an AI Agent that automatically resolves GitHub Issues and Discord questions. This article analyzes its architecture, use cases, challenges, and value for open-source maintenance.

Learn how GitHub Agentic Workflows automate cross-repo documentation updates. See the Aspire team's AI-driven approach: event triggers, smart drafting, and SME review to keep docs in sync with code.

Discover a hidden trick in Codex iOS voice mode: tap the central circle to show subtitles, solving pain points like unclear code names and hard-to-distinguish technical content in voice interactions.

A 12-person product team shares real-world experiences with Cursor, Codex, Claude Code, and CodeRabbit—exploring efficiency plateaus, scenario matching, and selection criteria for AI coding tools that actually stick.

Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.

AI agents underperforming? The root cause usually isn't the model. This guide breaks down Loop, Harness, and Context Engineering so you can diagnose the real issue fast.

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.

How does Cosmonapse replace LangGraph's graph structure with event-driven distributed protocols? A deep dive into two multi-agent architecture paradigms, their trade-offs, and when to use each.

A practical Claude Code handbook built for QA engineers — covering environment setup, spec-driven development, Skill encapsulation, MCP integration, and AI test sub-agents across 10 core modules.

How to build a true AI second brain for ADHD users: LangGraph, n8n, RAG, vector databases, and layered architecture for a proactive personal assistant.

Cosmonapse is an open-source multi-agent framework that replaces central orchestrators with peer nodes, using typed signals and an event bus to fully decouple tool calls, memory, and HITL. Supports Python and TypeScript under Apache 2.0.
Build Your Own X: The Hardcore Learnin…
Explore build-your-own-x, the 520K-star GitHub project that teaches developers to rebuild databases, OSes, and compilers from scratch — and why it matters more than ever in the AI era.
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.

A deep dive into building verifiable, self-evolving Agent automation loops with Claude Code and Codex — covering Loop Contracts, four trigger types, three-phase execution architecture, and Evolve Loops.

GPT-5.6 raises frontier model expectations, Anthropic extends Fable 5; data center power bottlenecks emerge; open-source GLM5.2 rivals top closed models; AI review burden overlooked.
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.

AgentScope 2.0 by Alibaba's Tongyi Lab delivers six major upgrades: typed event streaming, dangerous instruction interception, human-in-the-loop, concurrent execution, workspace system, and agent-as-a-service for production-grade multi-agent development.