📰 Dev.to · WonderLab

Agent Series (9): Multi-Agent Architecture Design Patterns — Supervisor vs Pipeline

Open Source Project of the Day (#82): SkillOpt - Training LLM Agent Skills Like Neural Networks

Is Your Agent Skill Actually Good? Microsoft's Dual-Paper Deep Dive into Skill Evaluation and Self-Evolving Optimization

One Open Source Project per Day #79: Twenty - Defining the Modern Open-Source CRM Alternative to Salesforce

Agent Series (6): Memory Management — Teaching Your Agent to Remember What Matters

One Open Source Project a Day (No. 77): notebooklm-py - Turning Google NotebookLM Into a Programmable API, With Claude Code Integration

Agent Series (5): Intent Recognition and Routing — Making Agents Actually Understand Users

Agent Series (4): Deep Dive into Tool Calling — The Agent's Hands and Eyes

One Open Source Project a Day (No. 75): Understand Anything - The AI Engine That Turns Any Codebase Into an Explorable Knowledge Graph

Agent Series (3): Plan-and-Solve — Think First, Then Act

One Open Source Project per Day #74: ai-engineering-from-scratch - Build AI Full-stack Skills from Ground Up

Agent Series (2): ReAct — The Most Important Agent Reasoning Paradigm

One Open Source Project a Day (No. 72): Andrej Karpathy Skills — Fix Four Chronic LLM Coding Problems With a Single CLAUDE.md

Agent Series (1): What Is an Agent — It's Not Just an LLM That Can Call Tools

RAG Series (23): Multimodal RAG — Images and Tables Can Be Retrieved Too

RAG Series (22): Long Context vs RAG — Do We Even Need RAG?

RAG Series (21): Performance Optimization — Faster and Cheaper

RAG Series (20): Enterprise RAG Architecture

RAG Series (19): Incremental Updates — Keeping the Knowledge Base Fresh

One Open Source Project a Day (No. 68): CLI-Anything - Making Every Piece of Software Agent-Native

RAG Series (18): Conversational RAG — The Pronoun Problem in Multi-Turn Dialogue

RAG Series (17): Agentic RAG — Giving the Agent Control Over Retrieval

One Open Source Project Per Day (Day 67): Open-Generative-AI - Open Source Center for AI Video & Image Creation

RAG Series (16): Graph RAG — Using Knowledge Graphs to Solve Multi-Hop Reasoning