✕ Clear all filters
73 articles

📰 Dev.to · WonderLab

73 articles · Updated every 3 hours · View all reads

All Articles 79,593Blog Posts 103,816Tech Tutorials 19,409Research Papers 17,252News 13,615 ⚡ AI Lessons
Open Source Project of the Day (#85): tiktoken - OpenAI's Blazing-Fast BPE Tokenizer
Dev.to · WonderLab 6d ago
Open Source Project of the Day (#85): tiktoken - OpenAI's Blazing-Fast BPE Tokenizer
Introduction "How many tokens does your prompt actually use?" This is article #85 in...
Agent Series (9): Multi-Agent Architecture Design Patterns — Supervisor vs Pipeline
Dev.to · WonderLab 1w ago
Agent Series (9): Multi-Agent Architecture Design Patterns — Supervisor vs Pipeline
When One Agent Isn't Enough The previous eight articles built single-agent systems: one...
Open Source Project of the Day (#82): SkillOpt - Training LLM Agent Skills Like Neural Networks
Dev.to · WonderLab 1w ago
Open Source Project of the Day (#82): SkillOpt - Training LLM Agent Skills Like Neural Networks
Introduction "Instead of constantly tweaking model weights, why not just teach the Agent...
Is Your Agent Skill Actually Good? Microsoft's Dual-Paper Deep Dive into Skill Evaluation and Self-Evolving Optimization
Dev.to · WonderLab 1w ago
Is Your Agent Skill Actually Good? Microsoft's Dual-Paper Deep Dive into Skill Evaluation and Self-Evolving Optimization
The Question Nobody Wants to Ask: Does Your Skill Actually Help? You spent an afternoon...
One Open Source Project per Day #79: Twenty - Defining the Modern Open-Source CRM Alternative to Salesforce
Dev.to · WonderLab 1w ago
One Open Source Project per Day #79: Twenty - Defining the Modern Open-Source CRM Alternative to Salesforce
Introduction "CRM should not be a heavy, closed, and expensive black box." This is the...
Agent Series (6): Memory Management — Teaching Your Agent to Remember What Matters
Dev.to · WonderLab 🤖 AI Agents & Automation ⚡ AI Lesson 2w ago
Agent Series (6): Memory Management — Teaching Your Agent to Remember What Matters
Memory: Turning an Agent from a "Tool" into an "Assistant" An Agent without memory starts...
One Open Source Project a Day (No. 77): notebooklm-py - Turning Google NotebookLM Into a Programmable API, With Claude Code Integration
Dev.to · WonderLab 🧠 Large Language Models ⚡ AI Lesson 2w ago
One Open Source Project a Day (No. 77): notebooklm-py - Turning Google NotebookLM Into a Programmable API, With Claude Code Integration
Introduction "AI needs to know where it learned something from." This is the 77th...
Agent Series (5): Intent Recognition and Routing — Making Agents Actually Understand Users
Dev.to · WonderLab 2w ago
Agent Series (5): Intent Recognition and Routing — Making Agents Actually Understand Users
Why Does an Agent Need Intent Recognition? The intuitive approach is to just hand user...
Agent Series (4): Deep Dive into Tool Calling — The Agent's Hands and Eyes
Dev.to · WonderLab 2w ago
Agent Series (4): Deep Dive into Tool Calling — The Agent's Hands and Eyes
Tools Are the Agent's Hands and Eyes The previous three articles covered the thinking...
One Open Source Project a Day (No. 75): Understand Anything - The AI Engine That Turns Any Codebase Into an Explorable Knowledge Graph
Dev.to · WonderLab 2w ago
One Open Source Project a Day (No. 75): Understand Anything - The AI Engine That Turns Any Codebase Into an Explorable Knowledge Graph
Introduction "Graphs that teach > graphs that impress." This is the 75th article in...
Agent Series (3): Plan-and-Solve — Think First, Then Act
Dev.to · WonderLab 🤖 AI Agents & Automation ⚡ AI Lesson 2w ago
Agent Series (3): Plan-and-Solve — Think First, Then Act
Where Does ReAct Hit a Wall? The previous article established ReAct's greedy strategy —...
One Open Source Project per Day #74: ai-engineering-from-scratch - Build AI Full-stack Skills from Ground Up
Dev.to · WonderLab 2w ago
One Open Source Project per Day #74: ai-engineering-from-scratch - Build AI Full-stack Skills from Ground Up
Introduction ai-engineering-from-scratch is a hardcore and comprehensive curriculum for AI...
Agent Series (2): ReAct — The Most Important Agent Reasoning Paradigm
Dev.to · WonderLab 2w ago
Agent Series (2): ReAct — The Most Important Agent Reasoning Paradigm
You Think Your Agent Is "Thinking." It's Actually Just Predicting Tokens. Here's a...
One Open Source Project a Day (No. 72): Andrej Karpathy Skills — Fix Four Chronic LLM Coding Problems With a Single CLAUDE.md
Dev.to · WonderLab 2w ago
One Open Source Project a Day (No. 72): Andrej Karpathy Skills — Fix Four Chronic LLM Coding Problems With a Single CLAUDE.md
Introduction "LLMs excel at looping until they meet specific goals — so provide success...
Agent Series (1): What Is an Agent — It's Not Just an LLM That Can Call Tools
Dev.to · WonderLab 2w ago
Agent Series (1): What Is an Agent — It's Not Just an LLM That Can Call Tools
You Think You're Using an Agent. You're Not. In 2023, "AI Agent" became a buzzword...
RAG Series (23): Multimodal RAG — Images and Tables Can Be Retrieved Too
Dev.to · WonderLab 3w ago
RAG Series (23): Multimodal RAG — Images and Tables Can Be Retrieved Too
What Text RAG Can't See Upload an annual report PDF. It contains revenue trend charts,...
RAG Series (22): Long Context vs RAG — Do We Even Need RAG?
Dev.to · WonderLab 3w ago
RAG Series (22): Long Context vs RAG — Do We Even Need RAG?
A Question Worth Taking Seriously Gemini 1.5 Pro supports 1 million token context. Claude...
RAG Series (21): Performance Optimization — Faster and Cheaper
Dev.to · WonderLab 3w ago
RAG Series (21): Performance Optimization — Faster and Cheaper
The Cost Structure of RAG What happens in a single RAG request: 1. embed(question) ...
RAG Series (20): Enterprise RAG Architecture
Dev.to · WonderLab 3w ago
RAG Series (20): Enterprise RAG Architecture
The Gap Between Demo and Production Every article in this series has shared one...
RAG Series (19): Incremental Updates — Keeping the Knowledge Base Fresh
Dev.to · WonderLab 3w ago
RAG Series (19): Incremental Updates — Keeping the Knowledge Base Fresh
Knowledge Bases Are Not Static Every article in this series so far has shared one implicit...