Dev News Corner

Cursor IDE Tutorial: Getting Started with the AI-First Code Editor

November 1, 2026 by Giulio Bramante

Developer workstation with a code editor and an AI assistant panel suggesting changes across files

Learn how to install Cursor, migrate from VS Code, and use tab completion, inline edits, chat, and agent mode with practical workflows that save real time.

How to Make an LLM: A Practical Guide for Developers

October 31, 2026 by Giulio Bramante

A pipeline showing raw text becoming tokens, flowing into a transformer neural network, and producing an assistant-style language model

From tokenization to alignment, learn the full pipeline for building a language model, with realistic code, compute tradeoffs, and when fine-tuning beats training.

How to Create a RAG Application: A Practical Step-by-Step Tutorial

November 1, 2026October 30, 2026 by Giulio Bramante

Diagram of a RAG pipeline where documents are chunked, embedded, stored in a vector database, and retrieved to ground an LLM answer

Learn to build a retrieval-augmented generation app in Python: chunk documents, create embeddings, store them in a vector database, and wire retrieval into an LLM call.

How to Use LangChain in Java: A Practical Guide for Developers

October 31, 2026October 29, 2026 by Giulio Bramante

Illustration of a Java developer building LLM applications, with code connecting to a language model, documents, and an agent through a chain motif.

Learn how to build LLM-powered applications on the JVM with LangChain4j: chains, RAG pipelines, tool-using agents, and production tips for Java developers.

How to Run LangGraph: A Practical Setup Guide for Developers

October 31, 2026October 28, 2026 by Giulio Bramante

Illustration of a LangGraph state graph with connected nodes running in a developer environment alongside a Python terminal

Install LangGraph, build and run your first state graph, add loops and tools, then deploy with checkpointing and production-ready serving options.

OpenAI API Tutorial: Build Your First AI-Powered Application

October 31, 2026October 27, 2026 by Giulio Bramante

A developer laptop connected to a cloud AI service, illustrating a backend integration with an API key and streaming responses.

Learn how to integrate the OpenAI API step by step: set up your key, make your first chat completion call, stream responses, and build a production-ready endpoint.

Node2Shell: What a Brotli Decoder RCE Means for Node.js and Python Applications

October 31, 2026October 26, 2026 by Giulio Bramante

Illustration of a Brotli decompression layer acting as a security gate between untrusted compressed input and Node.js and Python application processes, with a highlighted buffer overflow risk.

Understand CVE-2026-111497 (Node2Shell), identify Brotli decoding paths, deploy patched Node.js and Python components, and apply resource limits without overstating protection.

JavaScript Trends Developers Should Know in 2026

October 31, 2026October 25, 2026 by Giulio Bramante

Illustration of modern JavaScript development in 2026, showing TypeScript code, server and client components, and AI-assisted review workflows

A practical look at the JavaScript shifts that matter in 2026: TypeScript as the default, server-first frameworks, new platform features, and AI-assisted workflows.

CopilotKit SDK: A Practical Guide to Building In-App AI Copilots

October 31, 2026October 24, 2026 by Giulio Bramante

Illustration of an AI copilot sidebar integrated into a web application, connected to app state and a cloud model service

Understand CopilotKit architecture, legacy v1 React integration, app context and actions, with version-specific examples and production security considerations.

How to Use an AI API: A Practical Guide for Web Developers

October 31, 2026October 23, 2026 by Giulio Bramante

Diagram-style illustration of a browser sending a request through a backend server to a cloud AI service, with a streamed response returning to the user.

Learn how to integrate an AI API into a web app: secure key handling, your first request, streaming responses, cost control, retries, and choosing providers.