A developer proposes combining XML tags as delimiters with JSON payloads to handle messy LLM output, using tags like <result> to extract clean JSON from model rambling. The approach addresses common p…
A developer built an API that turns any company website into structured B2B data in a single call. The API reads live site content, never guesses missing fields, and returns clean JSON with company na…
FastAPI developers often confuse authentication with authorization, but the two concepts solve distinct security problems. Authentication verifies a user's identity through credentials like passwords …
Pydantic AI, an open-source Python framework from the Pydantic team, and Anthropic's Claude Agent SDK offer distinct approaches for building production AI agents, with Pydantic AI focusing on model-ag…
Pydantic AI and DSPy are two Python frameworks for building LLM-powered applications that take fundamentally different approaches, with Pydantic AI emphasizing imperative agent design and type-safe st…
A developer built a news reader agent using Pydantic AI, the agent framework from the Pydantic team, which leverages Pydantic's validation to create a FastAPI-like experience with decorators and type …
OpenAI and Anthropic are developing databases that store the full intent and reasoning behind AI-generated code, a move that could lock corporate customers into their ecosystems. Pydantic CEO Samuel C…
A developer building Python obfuscation tools for AI assistants must shift from Java's compile-time validation model to a runtime-dependent approach, as Python lacks a compilation step to catch rename…
A developer struggling with unreliable AI-generated code for a microservice project built a Python prompt generator that produces detailed, structured prompts with examples, resulting in consistent, c…
A developer at CitizenApp replaced if/elif chains in FastAPI route handlers with Pydantic V2's discriminated unions to handle nine different AI feature configurations. The approach eliminates runtime …
Pydantic, Prefect, and Hugging Face are offering a $10,000 bounty to anyone who can escape the Pydantic Monty Python sandbox and retrieve a secret stored on the hackmonty.com server. The bounty progra…
A developer built a Telegram bot that uses AI to categorize tech news stories and lets users confirm or override the tags with a single tap, implementing a human-in-the-loop system to catch AI halluci…
Gary Bernhardt argues that the control layer above AI models, not the models themselves, is the true product in agentic AI systems. He advocates for deterministic state machines, typed boundaries, and…
An engineer built a documentation Q&A engine that returns `null` instead of hallucinating answers when a query has no match in the corpus. The Knowledge Base API uses BM25 retrieval with POS-aware lem…
Cognition co-founder Walden Yan and OpenInspect's Cole Murray discussed the rise of "async agents" — AI coding tools that operate in the background rather than requiring constant developer oversight —…
The article explains how generative Vision-Language Models (VLMs) can replace traditional object detectors like YOLO for industrial computer vision by enabling zero-shot detection through natural lang…
To defend against OWASP ASI06 memory poisoning attacks in the OpenAI Agents SDK by using Pydantic's `@field_validator` to validate agent context data. It demonstrates how to integrate the OWASP Agent …