What Is Mojo? Chris Lattner’s New AI Language Explained
Mojo combines Python syntax with systems-level performance for GPU/CPU workloads — what it actually is, now that it’s hit 1.0 and gone open source
Tag
Ai
13 items tagged "Ai"
Guides
Instructor vs Pydantic AI: What’s the Difference
Instructor and Pydantic AI both promise structured, typed LLM output using Pydantic — here’s what actually separates a narrow tool from a full agent framework
LangChain vs LangGraph: What’s Actually Different
Why LangGraph exists alongside LangChain, built by the same team, and when to reach for one over the other
Python AI Agent Frameworks Compared
How LangGraph, CrewAI, AutoGen, and smolagents actually differ, and which one fits a new multi-agent Python project
What Is MCP (Model Context Protocol)? A Python Guide
What the Model Context Protocol actually standardizes, how it differs from LangChain or DSPy, and a basic FastMCP server example
DSPy Explained: Programming, Not Prompting, Language Models
What DSPy is, how it differs from hand-writing prompts, and a basic example of defining a module and letting DSPy optimize it
Resources
Mojo
Python-syntax systems language built for GPU/CPU performance on AI workloads — created by Swift/LLVM architect Chris Lattner, hit 1.0 and went fully open source in August 2026
CrewAI
Python framework for orchestrating role-based multi-agent teams that collaborate to complete complex tasks
LangChain
The most widely used Python framework for building LLM-powered applications, with 700+ integrations and tools for agents, RAG, and chains
LangGraph
Framework for building stateful, multi-step AI agent workflows as graphs — ideal for complex reasoning and tool-use pipelines
Ollama
Run large language models locally with a simple Python API — supports Llama, Mistral, Gemma, and dozens more open-source models
Pydantic
Data validation and settings management using Python type annotations — the cornerstone of FastAPI and the modern AI stack
Pydantic AI
Type-safe Python framework for building production AI agents, built by the Pydantic team with structured outputs and dependency injection