AI Coding Workflow Guides

Practical guides and tutorials on running AI coding agents in parallel, reviewing AI-generated code, and using git worktrees for isolated development workflows. Whether you use Claude Code, Codex CLI, or Gemini CLI, these tutorials help you get more done with less waiting.

Modern AI coding assistants are powerful, but using them one at a time means you spend most of your day waiting. Parallel Code changes that by letting you run multiple agents simultaneously, each in its own git worktree. The articles below cover the techniques and workflows behind efficient parallel AI development — from understanding git worktrees to structuring your review process when agents produce hundreds of lines of code at once.

March 27, 2026

How to Use Multiple AI Coding Agents on One Repo

A practical guide to running Claude Code, Codex CLI, and Gemini CLI on the same codebase — without conflicts, wasted tokens, or merge hell.

ai-coding multi-agent git-worktrees workflow tutorial

March 18, 2026

Claude Code vs Codex vs Gemini CLI Compared

A practitioner's comparison of the three major AI coding agents — code quality, cost, and speed — with guidance on when to use each.

ai-coding claude-code codex-cli gemini-cli comparison

March 13, 2026

Parallel AI Coding Agents Without Git Conflicts

Learn how git worktrees let you run Claude Code, Codex CLI, and Gemini CLI simultaneously on the same repo — without merge hell.

ai-coding git-worktrees parallel-development claude-code

March 12, 2026

Git Worktrees: Why AI Agents Need Them

Git worktrees let you check out multiple branches simultaneously from one repo. Here's how they work and why they matter for parallel development.

git git-worktrees developer-tools tutorial

March 11, 2026

How to Review AI-Generated Code Efficiently

AI agents write code fast, but reviewing it is the real bottleneck. A practical checklist and workflow for staying in control.

aio-coding code-review workflow best-practices