Warp has unveiled an upgraded version of its Agents feature, introducing the ability for AI agents to manage and interact with long-running terminal commands—such as running servers, debuggers, or complex build processes—without requiring constant user intervention. One of the most persistent challenges in AI-powered development has been waiting for agents to complete lengthy tasks, especially when they involve installing dependencies, compiling code, or executing resource-intensive operations. These delays often stem from powerful models like GPT-5 generating lengthy internal reasoning before responding. During this time, developers are left idle, unable to interact or steer the process. Warp’s latest update solves this by enabling agents to run and monitor long-running commands directly in the terminal. Instead of blocking the entire workflow, agents now operate continuously, providing real-time feedback and allowing developers to intervene or redirect them mid-task. This makes the AI assistant far more practical for real-world coding workflows. The enhanced agents also offer improved steerability. If an agent begins to drift off course—perhaps by suggesting an unintended fix or executing an unexpected command—developers can now step in and guide it back on track without restarting the entire process. For those unfamiliar, AI agents differ from traditional chatbots in that they don’t just respond to queries—they autonomously plan, execute, and adapt to accomplish specific development goals. They can navigate file systems, write code, run tests, and manage environments with minimal hand-holding. Warp’s evolution of its agent mode reflects a broader shift in developer tools: moving from reactive AI assistants to proactive, persistent collaborators that integrate seamlessly into the coding workflow. By enabling agents to handle extended terminal sessions and respond dynamically to user input, Warp is helping bridge the gap between AI promise and practical utility in software development.