Agents UI
Posts tagged “tutorial”
24 articles on tutorial. Back to all posts.
MCP Server Not Connecting? A Practical Debugging Guide
Debug MCP connection failures with a step-by-step workflow for server startup, stdio output, HTTP endpoints, authentication, and tools missing from your agent.
Port Already in Use on macOS: How to Fix EADDRINUSE
Find what is using a port on macOS, identify the right process, and fix EADDRINUSE errors in development servers, SSH tunnels, and parallel worktree sessions.
Claude Code Context Window: How to Reduce Token Usage
Diagnose Claude Code context usage, choose between compact and clear, and reduce wasted tokens with focused prompts, smaller tool output, and useful handoffs.
Git Bisect Tutorial: Find Regressions with AI Coding Agents
Find the commit that introduced a bug with git bisect. Includes an automated Python probe, exit-code handling, worktree isolation, and a focused AI agent workflow.
The AI Coding Agent Runbook: A Practical Checklist for Reliable Changes
A copy-paste runbook for using AI coding agents on real codebases: scope the task, protect the repo, define checks, review the diff, and hand off cleanly.
macOS Terminal Setup Guide: zsh, Customization & Essential Commands
A practical guide to the macOS terminal: how zsh works, the essential commands every Mac developer should know, customizing your prompt and shell, and the modern CLI tools that make the terminal a joy to use.
Agentic Coding: A Developer's Guide to Working with Autonomous AI Agents
What agentic coding actually means in 2026, how it differs from AI autocomplete, and the practical workflow patterns that make autonomous coding agents productive instead of chaotic.
Claude Code Hooks: A Practical Guide to Automating AI Agent Workflows
Claude Code hooks let you run shell commands automatically at key points in the agent loop — before tools run, after edits, when sessions end. A working developer's guide with real configurations.
Using AI Coding Agents on Large Codebases: Monorepos, Microservices, and Scale
Practical strategies for using AI coding agents effectively on large codebases — from scoping context and navigating monorepos to coordinating changes across microservices.
Refactoring Legacy Code with AI Coding Agents: A Practical Approach
How to use AI coding agents to refactor, migrate, and modernize legacy codebases safely — from scoping the work to verifying changes at scale.
Model Context Protocol for Developers: A Practical Guide
What MCP is, why AI coding agents use it, and how developers can design practical tool surfaces for files, terminals, projects, and remote workflows.
Test-First Workflows for AI Coding Agents
How to use failing tests, tight scopes, and small verification loops to make AI coding agents produce more reliable changes.
Reviewing AI-Generated Code: A Developer's Checklist
A systematic approach to reviewing code written by AI coding agents, with checklists and patterns for catching common issues before they reach production.
How to Configure AI Coding Agents with Project-Level Instructions
A practical guide to CLAUDE.md, .cursorrules, .aider.conf.yml, and other project-level configuration files that make AI coding agents work better with your codebase.
Git Worktrees for AI Agent Development: Parallel Workflows Without Conflicts
Learn how to use git worktrees to run multiple AI coding agents on the same repository without merge conflicts or context contamination.
Debugging with AI Coding Agents: A Practical Workflow
How to use AI coding agents like Claude Code and Aider to debug effectively — from reproducing issues and isolating root causes to fixing bugs without introducing new ones.
Prompt Engineering for AI Coding Agents: What Actually Works
Practical prompt patterns that get better results from AI coding agents like Claude Code, Codex, and Aider — from scoping constraints to incremental task decomposition.
Running Local LLMs with Ollama: A Developer's Guide
A practical guide to running large language models locally with Ollama — covering installation, model management, the REST API, custom Modelfiles, and integrating local LLMs into development workflows.
How to Fine-Tune an LLM with QLoRA: A Practical Guide
A step-by-step guide to fine-tuning large language models using QLoRA — covering dataset preparation, LoRA configuration, training with SFTTrainer, and merging adapters for deployment.
Persistent Terminal Sessions: A Practical Guide to tmux and zellij
Learn how to keep terminal sessions alive across disconnects and reboots using tmux and zellij — with setup guides, key bindings, and workflow examples.
SSH File Transfer for Developers: SCP, Rsync, and SFTP Compared
A practical guide to SSH file transfer methods — when to use scp, rsync, or sftp, with real command examples, performance tips, and common pitfalls.
How to Deploy an LLM with vLLM: A Production-Ready Guide
A hands-on guide to deploying large language models with vLLM — covering installation, offline inference, OpenAI-compatible API serving, GPU memory tuning, quantization, and Docker deployment.
How to Use SSH Port Forwarding for Remote Development
A practical guide to SSH local, remote, and dynamic port forwarding for developers working with remote servers, GPU machines, and AI coding workflows.
How to Run Claude Code and Codex Side by Side
Step-by-step guide to running multiple AI coding agents in parallel terminal sessions for faster development workflows.
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