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    <title>DEV Community: Federico Neri</title>
    <description>The latest articles on DEV Community by Federico Neri (@federiconeri).</description>
    <link>https://dev.to/federiconeri</link>
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      <title>DEV Community: Federico Neri</title>
      <link>https://dev.to/federiconeri</link>
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    <item>
      <title>What Is Wiggum CLI? The Autonomous Coding Agent That Ships Features While You Sleep</title>
      <dc:creator>Federico Neri</dc:creator>
      <pubDate>Tue, 17 Feb 2026 15:04:43 +0000</pubDate>
      <link>https://dev.to/federiconeri/what-is-wiggum-cli-the-autonomous-coding-agent-that-ships-features-while-you-sleep-4fn8</link>
      <guid>https://dev.to/federiconeri/what-is-wiggum-cli-the-autonomous-coding-agent-that-ships-features-while-you-sleep-4fn8</guid>
      <description>&lt;h2&gt;
  
  
  The short version
&lt;/h2&gt;

&lt;p&gt;Wiggum CLI is an open-source command-line tool that turns feature requests into shipped code — autonomously. You describe what you want in plain English, Wiggum interviews you to nail down the details, generates an implementation-ready spec, then hands it to a coding agent (Claude Code, Codex, or any CLI-based agent) to execute in an autonomous loop.&lt;/p&gt;

&lt;p&gt;Install it in one line:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;npm &lt;span class="nb"&gt;install&lt;/span&gt; &lt;span class="nt"&gt;-g&lt;/span&gt; wiggum-cli
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;h2&gt;
  
  
  Why another AI coding tool?
&lt;/h2&gt;

&lt;p&gt;Most AI coding tools help you write code faster &lt;em&gt;while you're sitting at the keyboard&lt;/em&gt;. Copilot autocompletes your lines. Cursor helps you refactor. They're great at accelerating &lt;em&gt;your&lt;/em&gt; workflow.&lt;/p&gt;

&lt;p&gt;Wiggum operates at a different level. Instead of helping you write code, it helps you &lt;strong&gt;specify what needs to be built&lt;/strong&gt; — then builds it without you.&lt;/p&gt;

&lt;p&gt;The difference is like giving someone driving directions turn-by-turn versus handing them a detailed itinerary and letting them navigate. Wiggum generates the itinerary, and your coding agent drives.&lt;/p&gt;

&lt;h2&gt;
  
  
  How it works
&lt;/h2&gt;

&lt;p&gt;Wiggum has three commands that form a complete pipeline:&lt;/p&gt;

&lt;h3&gt;
  
  
  1. Scan with &lt;code&gt;wiggum init&lt;/code&gt;
&lt;/h3&gt;

&lt;p&gt;Point Wiggum at any project and it auto-detects your tech stack — frameworks, languages, file structure, conventions. Zero config. This context feeds into every spec and loop to ensure generated code actually fits your project.&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;wiggum init
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;It produces a structured context file that captures how your project works, not just what files exist.&lt;/p&gt;

&lt;h3&gt;
  
  
  2. Interview with &lt;code&gt;wiggum new&lt;/code&gt;
&lt;/h3&gt;

&lt;p&gt;Describe what you want to build. Wiggum doesn't just take your description at face value — it &lt;strong&gt;interviews you&lt;/strong&gt; using AI that understands your codebase. It asks clarifying questions about edge cases, design decisions, and tradeoffs you might not have considered.&lt;/p&gt;

&lt;p&gt;The output is a detailed, implementation-ready spec in markdown — structured so any coding agent can execute it consistently.&lt;/p&gt;

&lt;h3&gt;
  
  
  3. Execute with &lt;code&gt;wiggum run&lt;/code&gt;
&lt;/h3&gt;

&lt;p&gt;This is where the Ralph loop kicks in. Wiggum hands your spec to a coding agent and runs autonomous plan-implement-test-verify-PR cycles. Each phase has checkpoints. The agent plans the implementation, writes the code, runs tests, verifies everything works, and opens a pull request.&lt;/p&gt;

&lt;p&gt;You can monitor progress in the TUI, background the process, and come back later to review the results.&lt;/p&gt;

&lt;h2&gt;
  
  
  What makes Wiggum different
&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;Spec-first architecture.&lt;/strong&gt; Most autonomous coding tools skip the specification step. They take a vague description and start writing code immediately. Wiggum forces a structured specification process — the AI interview — before any code gets written. This dramatically improves output quality because the agent has clear, unambiguous instructions.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Codebase-aware context.&lt;/strong&gt; The init scan means Wiggum understands your project's patterns, conventions, and dependencies. Generated specs reference your actual file structure and coding style, not generic best practices.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Agent-agnostic execution.&lt;/strong&gt; Wiggum generates specs that work with any CLI-based coding agent. It's been tested with Claude Code and Codex, but the specs are just markdown — any agent that can read a file and execute code can use them.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;The Ralph loop.&lt;/strong&gt; Named after the &lt;a href="https://ghuntley.com/ralph/" rel="noopener noreferrer"&gt;Ralph loop technique&lt;/a&gt; by Geoffrey Huntley, this is the autonomous execution engine. It's not just "run the agent until it's done" — it's a structured multi-phase loop with plan, implement, test, verify, and PR review stages.&lt;/p&gt;

&lt;h2&gt;
  
  
  Who it's for
&lt;/h2&gt;

&lt;p&gt;Wiggum is for developers who want to ship features faster by delegating implementation to AI agents — without sacrificing code quality. If you're comfortable reviewing pull requests but want to spend less time writing boilerplate, Wiggum is for you.&lt;/p&gt;

&lt;p&gt;It works best when you know &lt;em&gt;what&lt;/em&gt; you want to build but want to automate the &lt;em&gt;how&lt;/em&gt;.&lt;/p&gt;

&lt;h2&gt;
  
  
  Getting started
&lt;/h2&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;npm &lt;span class="nb"&gt;install&lt;/span&gt; &lt;span class="nt"&gt;-g&lt;/span&gt; wiggum-cli
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Then, in your project directory:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;wiggum init
wiggum new
wiggum run
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;That's it. Three commands from zero to pull request.&lt;/p&gt;

&lt;p&gt;The CLI is free and open source. You bring your own API keys. Pro plans add managed keys, a web dashboard, and push notifications — but the core tool is yours to use without limits.&lt;/p&gt;

&lt;p&gt;Check out the &lt;a href="https://github.com/federiconeri/wiggum-cli" rel="noopener noreferrer"&gt;GitHub repository&lt;/a&gt; for full documentation, or visit &lt;a href="https://wiggum.app" rel="noopener noreferrer"&gt;wiggum.app&lt;/a&gt; to see the roadmap and pricing.&lt;/p&gt;

</description>
      <category>ai</category>
      <category>opensource</category>
      <category>cli</category>
      <category>coding</category>
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