Guides, comparisons, and deep dives on AI coding agents and developer workflows.
The --json flag turns AI Toolkit Plus into a composable CLI tool. Pipe config generation into scripts, CI, dashboards, and custom automation.
AI agent config files go stale the moment your codebase changes. The 'update' command re-analyzes your project and regenerates configs without losing your preferences.
A GitHub Action that keeps your AI agent configs in sync with your codebase. When dependencies change, configs update automatically.
Google's Gemini CLI is the newest AI coding agent. Here's how to configure it for your codebase — and keep it in sync with your other AI tools.
The --dry-run flag lets you preview every file AI Toolkit Plus will generate before writing anything. Here's why that matters and how to use it.
AI agent configs drift as your codebase evolves. A persistent project config file solves the 'works on my machine' problem for AI tools. Here's how .aitoolkitplus.json works.
A comprehensive, honest comparison of the five major AI coding agents in 2026. Strengths, weaknesses, pricing, and which agent fits which workflow.
Practical tips for organizing your project, writing documentation, and establishing conventions that make AI coding agents dramatically more effective.
How to combine Claude Code, Cursor, Copilot, and other AI agents into a cohesive development workflow where each agent handles what it does best.