Wiggum CLI

Plug into any codebase. Generate specs. Run autonomous feature loops with Claude Code or Codex.

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What is Wiggum?

Wiggum is an AI agent CLI that plugs into any codebase and prepares it for autonomous feature development.

It works in two phases. First, Wiggum itself is the agent: it scans your project, detects your stack, and runs an AI-guided interview to produce detailed specs, prompts, and scripts tailored to your codebase. Then it delegates coding loops to Claude Code or Codex CLI, running implement → test → fix cycles until completion.

Plug & play. Point it at a repo. It figures out the rest.

🚀 Quick Start

Then, in your project:

Or skip the global install:

⚡ Features

🔍 Smart Detection — Auto-detects 80+ technologies: frameworks, databases, ORMs, testing tools, deployment targets, MCP servers, and more.

🎙️ AI-Guided Interviews — Generates detailed, project-aware feature specs through a structured 4-phase interview. No more blank-page problem.

🔁 Autonomous Coding Loops — Hands specs to Claude Code or Codex CLI and runs implement → test → fix cycles with git worktree isolation.

✨ Spec Autocomplete — AI pre-fills spec names from your codebase context when running /run.

📥 Action Inbox — Review AI decisions inline without breaking your flow. The loop pauses, you approve or redirect, it continues.

📊 Run Summaries — See exactly what changed and why after each loop completes, with activity feed and diff stats.

🧠 Backlog Agent — Run wiggum agent to execute prioritized GitHub backlog items with dependency-aware scheduling and review-mode controls.

🗂️ Issue Intake — Use /issue in TUI to browse GitHub issues and start specs directly from issue context.

📋 Tailored Prompts —…