#AI Agent
1117 related articles
A Human-Curated Agent Skills Marketplace: Building the 'Craigslist' for AI Agents
A human-curated AI agent skills marketplace inspired by Craigslist, posted on Hacker News. We break down the value of agent skill discovery, curation trade-offs, and ecosystem implications.
Why the Web Search AI Agents Inherit Isn't Good Enough
Most AI Agents inherit default web search tools that weren't built for agent use cases. Learn why retrieval quality is the upstream bottleneck and how to fix it.
AutoBot: Control Long-Running AI Tasks with Real-Time Voice
AutoBot uses real-time voice control for long-running AI tasks, letting users intervene mid-execution instead of waiting passively. Here's what we know so far.
Aclif: A Unified CLI Framework Designed for AI Agents
Aclif is an open-source CLI framework for AI Agents that uses unified syntax and cross-SaaS canonical naming to reduce tool invocation errors. An analysis of its design and positioning.
13 AI Agents as a Team: Auto-Prospect Clients, But Humans Approve Every Send
A developer built 13 specialized AI agents for Olano AI to automate daily sales prospecting — but requires human approval before any email is sent. Here's how it works.
The Forge: Describe Your Idea in One Sentence — an AI Team Builds, Deploys, and Operates It
The Forge by Bob's Workshop lets you describe an idea in plain language, and an AI "team" builds, deploys, and operates it — with built-in database, auth, payments, CRM, and autonomous maintenance.
AI Recursive Self-Improvement (RSI): How Far Are We from the Real Thing?
How close is RSI (Recursive Self-Improvement) to reality? We analyze Acer AI's RSI Agent, a Shotcut watermark task, OS World 20 results, and OpenAI's automated researcher goal.
AI Agent Engineer Roadmap: From Model API Calls to Production Deployment
How to go from beginner to production-ready AI Agent engineer? This guide covers the four-step path: model API calls, tool use, system engineering, and landing the job.
Getting Started with AI Agent Development in Four Weeks: A Complete Learning Roadmap Breakdown
A four-week structured AI Agent development roadmap for developers with coding experience, covering LLMs, ReAct, multi-agent systems, and Prompt tuning.
The Hidden Danger of Agent Sprawl: When Everything Looks Fine Is Exactly When You Should Worry
Agent Sprawl is a growing AI risk — agents multiply unchecked while everything appears normal, hiding security, cost, and operational dangers beneath the surface.
Jev Ultrafast: A Browser Agent with Dynamic Indexed Action Space
Jev Ultrafast is a browser agent built around a dynamic indexed action space, optimizing element targeting for ultra-fast browser automation. A deep-dive into its design.
Running Qwen for 63 Hours to Tackle the Riemann Hypothesis: An Open-Source Model Autonomous Reasoning Experiment
A developer ran Qwen 3.8 27B autonomously on an RTX 3090 for 63 hours, generating 50M tokens in an attempt to prove the Riemann Hypothesis. The findings reveal open-source LLM reasoning stability.
72 Hours with Claude Code + Unreal MCP: Building a Souls-Like Boss Fight
A developer used Claude Code + Unreal MCP to build a playable Souls-like boss fight in Unreal Engine 5.8 in just 72 hours. A breakdown of the full AI+3D pipeline and real limits of AI-assisted game dev.
AI Agents as Startup Team Members: A Preview of TechCrunch Disrupt 2026
TechCrunch Disrupt 2026 explores how AI Agents are becoming startup team members. Gusto, Insight Partners, and Leland discuss balancing speed, accountability, and culture in human-AI teams.
GitHub Used Copilot to Migrate Its Runtime to Rust: Lessons from 800,000 Lines of Code
GitHub used Copilot AI Agents to migrate its runtime to 800K lines of Rust. Learn why this rewrite was previously unaffordable and what it means for the industry.
Handling Low-Quality Audio in AI Agent Pipelines: Architecture Strategies and Practical Guide
How should AI Agent voice pipelines handle low-quality audio with echo, mumbling, and noise? This guide covers preprocessing, STT confidence guardrails, hallucination detection, and multi-agent validation.
AI Agent in Enterprise: A Deep Dive into the Low-Code + Code Framework Dual-Track Approach
A breakdown of a Bilibili AI Agent enterprise course: dual-track low-code (Coze/Dify/n8n) and code frameworks (LangChain/LangGraph), covering MCP protocol, nine job functions, and four capstone projects.
Google Opens Up Smart Home: AI Agents Can Now Control Your Home via MCP
Google's Home MCP integration lets third-party AI agents like Claude control smart home devices via the Model Context Protocol, ushering in an era of agentic smart home collaboration.
How to Distinguish AI Agent Traffic from Real User Traffic
AI Agent traffic is being mislogged as real user behavior. Learn how identity claims mechanisms help developers and platforms separate Agent traffic from genuine users.
AI Agent Learning Roadmap: A Four-Stage Guide for Complete Beginners
A four-stage AI Agent learning roadmap for beginners: from core concepts and model deployment to RAG, LangChain, LoRA, and interview-ready projects.