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Tutorials, comparisons, and guides for building AI apps

· 5 min read · Open Source

From create-react-app to create-ai-app: The New Default for AI Applications

In 2016, create-react-app standardized how we build frontends. In 2026, AI applications need the same moment — and it's here.

ai-agents fastapi pydantic-ai python template
· 5 min read · Open Source

AGENTS.md: Making Your Codebase AI-Agent Friendly (Copilot, Cursor, Codex, Claude Code)

Every AI coding tool reads your repo differently. Here's how AGENTS.md — the emerging tool-agnostic standard — gives them the context they need.

ai-agents developer-tools python fastapi open-source
· 5 min read · Open Source

From 0 to Production AI Agent in 30 Minutes — Full-Stack Template with 5 AI Frameworks

Step-by-step walkthrough: web configurator, pick a preset, choose your AI framework, configure 75+ options, docker-compose up — working production AI app.

ai-agents fastapi full-stack python pydantic-ai
· 5 min read · Open Source

Same Chat App, 4 Frameworks: Pydantic AI vs LangChain vs LangGraph vs CrewAI (Code Comparison)

I built the same chat app 4 times with 4 different AI frameworks. Same FastAPI backend, same Next.js frontend, same PostgreSQL. Here's what the code actually looks like.

pydantic-ai langchain langgraph crewai comparison full-stack-template
· 5 min read · Case Study

Build an AI PR Reviewer with 3 Parallel Subagents in Python

Security, style, and performance checks in 30 seconds — using pydantic-deepagents to run 3 specialized subagents in parallel against your git diff.

pydantic-ai ai-agents python code-review open-source
· 5 min read · News

Tau-Bench: Testing AI Agents Where It Actually Matters - Customer Service

Sierra's Tau-Bench puts AI agents in realistic customer service scenarios with simulated users, domain policies, and real databases. Here's how it works, how it's scored, and what Tau-squared changes.

ai-agents benchmarks tau-bench llm-evaluation customer-service
· 5 min read · Open Source

What I Learned at PyAI Conf in San Francisco — Where Python Meets Production AI Agents

Same-day recap from PyAI Conf — a 1-day conference hosted by Pydantic, FastMCP, and Theory Ventures, featuring Samuel Colvin, Sebastián Ramírez Montaño, Jeremiah Lowin, Armin Ronacher, and Guido van Rossum on the future of Python and production AI agents.

ai-agents conference pydantic-ai python open-source multi-agent
· 5 min read · News

BrowseComp: The Benchmark That Tests What AI Agents Can Actually Find

OpenAI's BrowseComp flips traditional benchmarks on their head - questions are easy to verify but brutally hard to solve. Here's why it matters for AI agent development.

ai-agents benchmarks browsecomp deep-research llm-evaluation
· 5 min read · News

GPT-5.4 Is Here — What It Means for AI Agent Developers

OpenAI released GPT-5.4 with native computer use, 1M context, tool search, and state-of-the-art coding. Here's what matters for teams building AI agents in production.

gpt-5.4 openai ai-agents llm news
· 5 min read · Open Source

We Built a Web Configurator for AI Agent Apps — 75+ Options, Download as ZIP

246 template files, 5 AI frameworks, client-side rendering with Nunjucks — zero server, everything in your browser.

pydantic-ai fastapi ai-agents python template
· 5 min read · Open Source

Sub-90ms Cloud Code Execution: How Daytona Replaced Docker in Our AI Agent Stack

Docker cold starts cost 2-5 seconds per sandbox. Daytona does it in under 90ms — here's how we integrated it into pydantic-ai-backend.

pydantic-ai ai-agents python docker daytona
· 5 min read · Open Source

We're Building an Open-Source Claude Code Alternative in Python

Meet pydantic-deepagents — 5 modular packages, 30+ features, and a terminal UX that makes AI coding agents feel like a native dev tool.

pydantic-ai ai-agents python cli open-source
· 5 min read · Open Source

Pydantic AI vs LangChain for Production AI Agents (2026)

A practical comparison of Pydantic AI and LangChain for building production AI agents. Type safety, streaming, dependency injection, and real-world trade-offs.

pydantic-ai langchain ai-agents python comparison
· 5 min read · Open Source

How to Build a Full-Stack AI App with FastAPI and Next.js

Step-by-step guide to building a production AI application with FastAPI backend and Next.js frontend. From zero to deployed in 30 minutes.

fastapi nextjs tutorial python ai-agents
· 5 min read · Open Source

Hashline Edit Format: How 2-Character Hashes Fixed AI File Editing

How hashline edit format replaces error-prone str_replace with 2-character content hashes for reliable AI file editing. Benchmark results across 16 models and our Pydantic AI implementation.

ai-agents file-editing hashline pydantic-ai python llm-tools
· 5 min read · Open Source

Predictive AI: Give Your Agent a Docker Lab to Run Models

How to build an AI agent that runs sklearn predictions inside an isolated [Docker](https://docs.docker.com/) sandbox. Environment-as-a-tool pattern, sub-agent delegation, and structured chart output with Pydantic AI.

ai-agents docker sandbox pydantic-ai python machine-learning
· 5 min read · Open Source

Why Your AI Agent Remembers Too Much (And How to Fix It)

Every memory system stores garbage. Here's how we solved it with file-based persistent memory, context window limits, and a save immediately or lose it philosophy.

ai-agents memory memv pydantic-ai python
· 5 min read · Open Source

Real-Time AI Agent Streaming with WebSockets and FastAPI

How to implement real-time streaming for AI agents using WebSockets in FastAPI. Token-by-token output, error handling, and production patterns.

websockets fastapi streaming python ai-agents
· 5 min read · Open Source

Observability for AI Agents Is Broken. Here's What We Built Instead.

Standard dashboards don't work for LLM traces. We built an AI assistant that lets you ask questions about your agent's behavior in plain English - natural language to SQL queries against Logfire data.

ai-agents observability logfire pydantic-ai python monitoring
· 5 min read · Open Source

Ship a Production AI App in 5 Minutes: FastAPI + Next.js + 20 Integrations

One CLI command, one production-ready stack: JWT auth, WebSocket streaming, Pydantic AI agents, PostgreSQL, Redis, Docker, and 20+ more integrations out of the box.

fastapi nextjs pydantic-ai python ai-template docker
· 5 min read · Open Source

Task Planning for AI Agents: Dependencies, Events, and Hierarchical Todos

Why agents need structured planning, how subtasks and cycle detection work, and a PostgreSQL backend for multi-tenant production deployments.

ai-agents task-planning pydantic-ai python todo-management
· 5 min read · Open Source

Your AI Agent Forgets Everything After 50 Messages. Here's the Fix.

SummarizationProcessor vs SlidingWindowProcessor - two strategies for keeping your agent's memory alive when the context window fills up.

ai-agents memory-management pydantic-ai python context-window
· 5 min read · Open Source

Pydantic AI vs LangChain vs LangGraph vs CrewAI: Which Framework to Choose?

A comprehensive comparison of Python AI agent frameworks for 2026. Pydantic AI, LangChain, LangGraph, CrewAI, and DeepAgents — when to use each one.

pydantic-ai langchain langgraph crewai deepagents comparison

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