Claude Code subagents are specialized AI assistants designed for task-specific workflows. Each subagent has its own context window, system prompt, and tool permissions, allowing Claude Code to delegate tasks without cluttering the main conversation. This setup enables focused expertise, better context management, and reusable configurations for consistent and efficient development workflows.

Most teams want every merge request to receive a quick, thoughtful review, but human reviewers are often busy or unavailable when code is submitted. By connecting an open-source tool called n8n to an inexpensive large language model, we can trigger an automated code review the moment a GitLab MR opens and post the feedback as a comment.

Building on the foundation laid in the previous article, this post dives into integrating Deep Chat JS component for real-time, context-aware conversations. By leveraging semantic search on your vector database, you can retrieve the most relevant information faster than ever.

This is the first article in a series where I describe how I'm building a chatbot for this blog. My goal is to create a system that can quickly provide relevant answers to site visitors. After refining this approach, I plan to implement it on my wife's ecommerce site as well. Stay tuned for more details in subsequent posts.

OpenAI offers access to its AI models through numerous APIs, but one stands out for its capabilities above the rest. That is, without a doubt, the Assistant API, which allows you to integrate an AI assistant into your application, script, or any similar project, whether small or large. For chatting with documents, analyzing data on your e-commerce site, or any other type of automation, this API will get the job done.