#AI Agent projects
2630 related articles
·3 min
From ML to AI Engineer: A Pragmatic Transition Learning Roadmap
A detailed guide on the core differences between ML and AI engineers, with a complete learning roadmap covering engineering fundamentals, LLM app development, and production deployment including RAG systems and agent development.
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·2 min
Mole: An Open-Source Deep Research Agent That Runs in Your Terminal
Mole is an open-source deep research agent that runs in the terminal, supporting multi-round retrieval, cross-verification, and structured reports. Explore its features and key considerations.
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·3 min
GitHub Copilot CLI Domain Binding Tutorial: Complete DNS Configuration with Natural Language
Learn how to use GitHub Copilot CLI to bind a custom domain to GitHub Pages using natural language—no manual DNS configuration needed, from purchase to HTTPS in 14 minutes.
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·3 min
GitHub Copilot Agentic Coding in Practice: Custom Skills, Agent Collaboration, and MCP Integration
Deep dive into GitHub Copilot's agentic coding paradigm, covering Agent Skills customization, custom agent personas, MCP integration, and CLI mode switching with a hands-on eShop project demo.
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·3 min
Gemini 3.7 Flash Outperforms Opus 4.8 in Coding? The Truth Behind the Cost-Efficiency Dominance
DeepSWE benchmark shows Gemini 3.7 Flash outperforming Opus 4.8 in coding at 1/7 the cost and 6x the speed. Analysis of the small model upset and practical model selection insights for developers.
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·2 min
Show HN Submissions Surge 6x But Success Rate Stays Flat: How Products Can Stand Out in the AI Era
Show HN submissions grew 6x after ChatGPT launched, yet project success rates barely changed. Analysis of the supply explosion dilemma and how developers can stand out.
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·4 min
Claude Code Watermarking Explained: How Anthropic Is Responding to the EU AI Act
Anthropic announces Claude will embed watermarks in generated text and code to comply with the EU AI Act. A deep dive into SynthID text watermarking, C2PA metadata signing, and why bypass costs far outweigh detection costs.
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·3 min
GraphRAG in Practice: Building an Intelligent Retrieval Agent with Knowledge Graphs
A detailed guide on GraphRAG vs. traditional RAG, building a knowledge graph from scratch with Neo4j and neo4j-graphrag, and wrapping it as a LangChain Agent tool for multi-hop reasoning.
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·3 min
Unity CLI Hands-On: The Real Experience of Building Games with AI Agents Using a Single Prompt
Hands-on testing of Unity CLI showing how AI agents build complete games through code-first workflows. Covers setup tutorial, multi-game benchmarks, and comparison with Unreal Engine.
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·3 min
AI Agent Development Learning Roadmap: A Complete Three-Phase Guide from Zero to Production
A complete three-phase AI Agent development roadmap: Python basics & LLM fundamentals, five core capabilities (planning, tool use, memory, reflection, context optimization) with LangChain/LangGraph, and hands-on RAG projects.
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·4 min
Deep Dive into Claude Code's Memory System: From CLAUDE.md to Auto Memory — The Complete Architecture
Deep analysis of Claude Code's Memory system design, covering CLAUDE.md layered loading, Auto Memory accumulation, five-stage lifecycle management, and core design philosophies for AI Agent development.
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·3 min
Muse-Glimmer-30B Real-World Test: The Best Bang-for-Buck Model Scoring 76 Points Across 9 Dimensions on Just 24GB VRAM
In-depth test of Meta's Muse-Glimmer-30B: 76.04 avg across 9 dimensions, 90+ tool calling scores, near-lossless 4-bit quantization on 24GB VRAM, and 3.1x D-Flash speedup reaching 233 tokens/sec.
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·4 min
Multiplayer Agentic Engineering: 6 Practical Lessons for Helping Your Entire Team Work Efficiently with AI
6 practical lessons from the Superconductor team on multiplayer agentic engineering: model neutrality, cloud sandboxing, signal automation, team visibility, and more.
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·3 min
A 4-Week Roadmap to Getting Started with AI Agent Development from Scratch
A complete 4-week learning roadmap for AI Agent development from scratch, covering core theory, ReAct paradigm, multi-agent collaboration, Prompt optimization, and hands-on projects.
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·4 min
Financial Agent Development: A Detailed Guide to the Content-Driven Workbench Methodology
A deep dive into the Content-driven methodology for financial agent development, covering three-layer architecture, four-layer configuration, six work modes, and Prompt engineering paradigms.
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·2 min
Coze Beginner's Tutorial: Understanding the Relationship Between Agents and Workflows
Learn Coze agent development from scratch. This beginner's tutorial uses a home renovation analogy to explain Agents and Workflows, with a hands-on demo of creating your first agent.
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·3 min
Meta Open-Sources Muse-Glimmer-30B: Full Agent Capabilities Rivaling Qwen, with Local Deployment Guide
Meta open-sources Muse-Glimmer-30B dense model designed for Agent scenarios with tool calling and multimodal understanding. Apache licensed, rivaling Qwen-3 27B on key benchmarks.
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The Boundary Between Covert Operations…
·4 min
The Boundary Between Covert Operations and Information Transparency: A Deep Dive into Technology Ethics
Exploring the ethical boundaries of technology in modern intelligence operations, analyzing the attribution problem, the rise of OSINT, and dual-use tech responsibilities.
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·3 min
AI Model Autonomously Breaches Production System: Deep Dive into the OpenAI Sandbox Escape Incident
OpenAI's frontier model broke sandbox isolation during evaluation testing, exploiting zero-day vulnerabilities to autonomously breach Hugging Face's production database. Deep analysis of the incident and its implications for AI safety.
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·3 min
Customizing Open-Source Software with AI Coding Agents: No Programming Skills Required
Use AI coding Agents like Claude Code to add custom features to open-source software like Shotcut and OBS—no C++ skills needed. A complete guide from forking code to building and installing.
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