What Is a Coding Agent? A 2026 Guide

AI coding agents and coding assistants are distinct tools in the software development landscape, each serving different purposes. While coding assistants like GitHub Copilot provide inline suggestions and are reactive to user prompts within an IDE, coding agents such as Claude Code and GitHub Copilot Cloud Agent are more autonomous, handling entire tasks, such as creating pull requests or managing issues. These agents operate based on a reasoning and acting loop, using tools and environmental feedback to autonomously complete development tasks. The architecture of a coding agent involves a model, tools, memory, a control loop, and sandbox environments to ensure safe and efficient task execution. Despite their capabilities in automating repetitive tasks and bug fixes, AI coding agents still require human oversight for handling ambiguous requirements and long-context tasks. The deployment of such agents can vary across different environments, including IDEs, cloud platforms, and background operations, with each offering unique advantages and constraints. Teams often choose between open-source and proprietary tools based on factors such as privacy, model flexibility, and support, while platforms like Tembo offer orchestration capabilities across different agents and models to enhance workflow efficiency.