AI & ML

Abstract illustration of an AI agent orchestrating tools and subagents

Building a Custom Agent with the Claude Agent SDK

A practical, code-first walkthrough of the Claude Agent SDK: custom tools, MCP servers, and subagents — the same engine that powers Claude Code, in your own app.

A dark cinematic illustration of a glowing terminal monitor with code, a server rack, and a network of AI model nodes connected by neon lines — representing Claude Code talking to local and cloud model endpoints.

Claude Code with Local Models and OpenRouter: The Complete Guide

Claude Code is the most agentic coding CLI Anthropic ships — but it does not have to talk to Anthropic. Because Claude Code speaks the standard Anthropic Messages API, you can point it at any compatible endpoint with a single environment variable. That means OpenRouter, your local Ollama server, a private LiteLLM proxy, or a self-hosted model behind your own router all work without forking the source. This guide walks through the three setup paths, which models actually deliver usable tool-use at each tier, what breaks, and when you should stop and switch back to the official API. ...

AI-Assisted Development: What Actually Works in 2026

AI coding assistants have moved from novelty to necessity. But the hype cycle has settled, and we now have real data on what works and what doesn’t. The Landscape Tool Best For Limitations GitHub Copilot Autocomplete, boilerplate Struggles with multi-file refactors Cursor Full-featured AI IDE Context window limits on large codebases Claude Code Terminal-native agentic coding Requires explicit instruction OpenCode Interactive CLI with subagents Needs good task decomposition Where AI Excels Test Generation AI-generated tests catch edge cases humans miss. In our codebase, AI-authored tests found 23% more boundary condition bugs than human-written equivalents: ...