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Deep dive into Driven, the AI investment agent that connects the entire research-to-execution pipeline through 260+ API integrations, custom Skills, and Playbooks.

When AI coding assistants cause code output to surge, manual Code Review becomes the bottleneck. Compare CodeRabbit, Bugbot, Greptile and more for small team selection.

Cogpit is an open-source self-hosted Web UI for remote Claude Code and Codex AI coding agents. Monitor in real time, manage multiple machines, and respond to permissions without SSH.

A complete guide to building AI Agents from scratch based on real developer experiences: task selection, tool comparison (no-code vs frameworks vs hand-written), stability challenges, and evaluation criteria.

Leaping AI builds voice AI agents for blue-collar services like home improvement and roofing, supporting 100+ concurrent calls, multi-day campaign auto-follow-ups, multilingual switching, and deep CRM integration.

iMessage Hermes is an open-source project deploying AI agents on Raspberry Pi, enabling iMessage and SMS interaction via real phone numbers. A deep dive into its architecture and potential.

HarnessRouter provides a unified API to access top AI agents worldwide, encapsulating sandbox isolation, task orchestration, fault-tolerant retries, and cost control for production deployment.

HarnessRouter provides a unified API to access top AI agents worldwide, encapsulating sandbox isolation, task orchestration, fault-tolerant retries, and cost control for production-ready integration.

Learn how to advance from linear pipeline to state machine Agent architecture through a YouTube script-to-storyboard case study, covering fault tolerance, LLM evaluation frameworks, and LangGraph vs AutoGen selection.

How AI coding agents are transforming decompiler development. Using the Kuna project as a case study, exploring AI-assisted iteration, generate-verify loops, and the lowering barriers to complex system tool development.

Google Gemini Managed Agents API introduces environment hooks, model selection, free tier support, and default model upgrades—empowering AI Agent developers with stronger execution control and lower barriers to entry.

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.

Complete guide to Pi coding agent: design philosophy, installation, shortcuts, session management, and 7-layer customization architecture. How this 45K-star minimalist terminal tool redefines AI coding workflows.

Explore how AI agents are redefining enterprise work—from applied AI partnerships and multi-agent collaboration to structural workflow redesign and organizational transformation.

API Mock is fast but misses bugs; Sandbox is realistic but costly. This article analyzes their core differences and provides a layered testing strategy for building reliable Agent test systems.

A step-by-step Pi Agent configuration tutorial covering installation, LLM connection, extension ecosystem, MCP setup, and Token-saving tips. Learn to build a truly controllable AI coding assistant.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.

Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.

Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.

An in-depth look at an intelligent paper writing platform built on FastAPI + Vue 3, combining LLM, RAG, and multi-Agent collaboration for full-process automation—an excellent case study for AI developers.