A software engineer's journey of transitioning from REST APIs to GraphQL, highlighting the benefits, challenges, and providing a guide to build a first GraphQL server.
The author provides a step-by-step guide for building a basic GraphQL server using Node.js and Apollo Server, encouraging a gradual transition approach to integrate GraphQL into existing REST-based projects.
An article detailing the top API documentation tools of 2025, featuring comprehensive reviews with examples, protocol support, pricing, and strengths and weaknesses.
Sparse autoencoders (SAEs) have been trained on Llama 3.3 70B, releasing an interpreted model accessible via API, enabling research and product development through feature space exploration and steering.
A powerful collection of 100+ APIs across categories to help you build apps, tools, and projects.
MCP is an open-source standard that enhances interaction between AI systems and various data sources, improving usability, response quality, and security.
GitHub Models now allows developers to retrieve structured JSON responses from models directly in the UI, improving integration with applications and workflows. Supported models include OpenAI (except for o1-mini and o1-preview) and Mistral models.
Simple, unified interface to multiple Generative AI providers, supporting various providers including OpenAI, Anthropic, Azure, Google, AWS, Groq, Mistral, HuggingFace, and Ollama. It aims to facilitate the use of multiple LLMs with a standardized interface similar to OpenAI’s.
Daniel Mangum describes how to host a website on Bluesky by leveraging the AT Protocol and Personal Data Server (PDS) APIs, detailing the process and underlying mechanics.
Explore how LocalStack serves as a drop-in replacement for AWS, allowing developers to test and develop AWS services locally.
LiteLLM is a library to deploy and manage LLM (Large Language Model) APIs using a standardized format. It supports multiple LLM providers, includes proxy server features for load balancing and cost tracking, and offers various integrations for logging and observability.