Most coding agents keep getting bigger: planning modes, subagents, permission layers, IDE integrations, background workers. Pi walks the other way. Four default tools — read, write, edit, bash — with everything interesting left to extensions, skills, packages, and your own workflow. It is less a finished product than an editable harness, and that is exactly the point.
OpenCode’s command-line interface turns the coding agent into a scriptable tool: the same agent environment runs in the interactive TUI and non-interactively from shell scripts, CI jobs, and Makefiles. Small tasks work within minutes, but serious use depends on repository instructions, permission boundaries, context discipline, and model selection.
In our previous posts, we covered the basics of Kilo Code and how to get it installed on your machine. One of the most powerful features of Kilo Code is its ability to integrate with various AI providers.
In our first post, we introduced the core concepts of Kilo Code and why it’s a game-changer for agentic software development. Now, it’s time to get your hands dirty.
While AI-native IDEs like Cursor and Windsurf have taken the developer world by storm, a parallel revolution has been happening in the terminal. AI Coding CLIs (Command Line Interfaces) offer a different paradigm: they are lightweight, terminal-native, and often more “agentic” than their GUI counterparts.