Building an Agentic Coding CLI Tool in Python

In this article, I'll walk you through the process of building a command-line interface (CLI) tool for agentic coding using Python. The goal is to create a system that can understand and execute complex tasks by leveraging AI models like Anthropic's Claude and OpenAI's GPT-4.

Overview

The CLI tool we're developing, AgentCode, will allow users to interact with an AI model in real-time, asking it to perform coding-related tasks such as writing code, debugging issues, or refactoring existing code. The core of the system is a loop that maintains context and executes commands based on user input.

Key Features

• Multi-model support: Switch between different AI models like Claude, GPT-4, and local Ollama instances.
• Tool definitions: A set of predefined tools that the model can use to perform tasks such as reading files, writing files, executing shell commands, etc.
• Context management: The ability to manage context by summarizing old messages and keeping relevant information available.
• Permission system: Ensures that destructive actions (like writing or deleting files) require user approval.

Getting Started

Installation

To

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