What this is, in plain English

This entry explores AI coding agents, which are tools that use artificial intelligence to help developers write, debug, and understand code faster. The article compares two main types: those that run in your terminal (CLI, or Command Line Interface) and those that integrate directly into your code editor (IDE, or Integrated Development Environment).

This workflow is considered advanced because it requires comfort with command-line tools, installing developer software, and potentially managing API keys (unique codes to access paid services). The exact steps for using these agents vary greatly depending on the specific tool, your operating system, and the coding task at hand. Therefore, there isn’t a single, simple copy-paste recipe impractical for a non-technical beginner.

What you can use it for

• Generate code snippets: Ask the agent to write small pieces of code for specific functions or tasks.
• Scaffold new projects: Quickly create the basic file structure and initial code for a new application, like a web app.
• Explain legacy code: Get help understanding older codebases that might be complex or poorly documented.
• Fix bugs: Have the agent identify and suggest corrections for errors in your code.
• Automate code commits and tests: Some agents can automatically save your code changes and run checks to ensure they work correctly.

Tools you need

• ForgeCode (free): An open-source AI pair programmer that runs in your terminal.
• Aider (free): An open-source Python CLI agent that supports many programming languages and AI models.
• Google Gemini CLI (freemium): A command-line tool for interacting with the Gemini AI model, which has a free usage tier.
• GitHub Copilot (paid): An AI assistant that integrates directly into popular code editors to provide real-time code suggestions.
• AWS CodeWhisperer (freemium): An AI coding companion from Amazon Web Services that offers code suggestions and security scans, with a free tier for individual use.
• Anthropic Claude Code CLI (paid): A command-line tool that uses the Claude AI model, known for its ability to reason about complex code and multi-file projects. Requires an API key.
• OpenAI Codex CLI (paid): A command-line tool that uses OpenAI’s Codex models, designed to generate and verify code snippets, often requiring an API key.

How it actually works

Using these AI coding agents typically involves a few general steps, though the specifics vary for each tool:

1. Install necessary prerequisites: Most CLI agents require Node.js (version 18 or higher) or Python to be installed on your computer. You can download these from their official websites.

2. Install the agent: Use your terminal (Command Prompt on Windows, Terminal on macOS/Linux) to install the specific agent. For example:

   macOS or Linux

   npx forgecode@latest

   Windows (PowerShell)

   npx forgecode@latest

   macOS or Linux

   npm i -g @google/gemini-cli

   Windows (PowerShell)

   npm i -g @google/gemini-cli

   macOS or Linux

   pip install aider-install

   Windows (PowerShell)

   pip install aider-install

   macOS or Linux

   npm i -g @openai/codex

   Windows (PowerShell)

   npm i -g @openai/codex

3. Obtain an API key (if required): For tools like Anthropic Claude Code CLI or OpenAI Codex CLI, you will need to sign up for their developer platforms and get an API key. This key authenticates your requests to their AI models.

4. Run commands in your terminal: Once installed, you can use the agent by typing commands in your terminal. The author mentions examples like what does this project do? or help me add a new feature. The exact prompts and expected outputs will depend on the specific agent and the task.

5. Review and approve changes: Many agents will suggest code changes or generate new files. It’s crucial to review these outputs carefully before applying them to your project, as AI can sometimes make mistakes or generate code that doesn’t fit your exact needs. For detailed usage instructions, always refer to the official documentation for each tool.

Words you’ll see, explained

• CLI (Command Line Interface): A way to interact with a computer program by typing text commands into a terminal window, rather than clicking buttons in a graphical interface.
• IDE (Integrated Development Environment): A software application that provides a complete set of tools for software development, including a code editor, debugger, and build automation tools.
• AI Coding Agent: An artificial intelligence tool designed to assist software developers with various coding tasks, such as writing code, finding errors, and understanding existing code.
• API Key: A unique code that identifies you or your application when you access a software service or API (Application Programming Interface), often used for billing and security.
• Context Window: The maximum amount of text (measured in ‘tokens’) that an AI model can consider at one time when generating a response. A larger context window means the AI can understand more of your code or conversation history.
• Hallucination: When an AI model generates information that is incorrect, nonsensical, or made up, presenting it as factual.
• Scaffold: To automatically generate the basic structure, files, and boilerplate code for a new software project, helping you start quickly.
• Linter: A tool that automatically analyzes source code to flag potential programming errors, bugs, stylistic issues, and suspicious constructs, helping to maintain code quality.
• Token: A unit of text that an AI model processes. It can be a word, part of a word, or a punctuation mark. AI models have limits on how many tokens they can process at once.

Original source

This entry is based on an article by Pankaj Singh titled “CLI vs IDE Coding Agents: Choose the Right One for 10x Productivity!” published on the DEV Community blog. The author shares insights from their research and personal experience using various AI coding assistants.

Notes & variations

• Do you even need this?: For simpler coding tasks or general programming questions, a freemium chat AI like ChatGPT, Claude.ai, or Gemini.google.com might be sufficient without needing to install specialized developer tools.
• Free-tier limits: While Google Gemini CLI and AWS CodeWhisperer offer free tiers, be aware of their usage limits. Other tools like GitHub Copilot, Anthropic Claude Code CLI, and OpenAI Codex CLI require paid subscriptions or API credits for use.
• Common pitfall: Over-reliance on AI without understanding the generated code can lead to introducing new bugs or security vulnerabilities. Always review and test AI-generated code thoroughly before using it in production.