Reviu — AI for Software Development

As software developers increasingly adopt AI coding agents to handle feature implementation, testing, and bug fixes, managing agent output has introduced a new workflow bottleneck. Agents frequently create multiple parallel tasks, write code across several files, and generate commits that require careful human inspection before merging into production repositories. Traditional Git clients and web-based GitHub diff views are often poorly optimized for reviewing raw AI output, tracking agent conversation histories, or turning messy multi-file edits into clean, readable commits. Reviu addresses this challenge by providing a dedicated local review layer specifically designed for AI-generated code. Rather than treating an agent session like a disposable chat window, Reviu tracks each task as a durable session complete with its own isolated worktree, terminal, file edits, and review queue. This isolation prevents parallel agent tasks from dirtying your main checkout. When an agent finishes writing code, you can inspect the local diff line-by-line, select specific comments or instructions, batch them together, and send them straight back to the agent as a structured prompt. Furthermore, Reviu bridges the gap between local agent execution and team collaboration. The application features deep local Git integration, enabling you to stage hunks, resolve conflicts, run interactive rebases, and clean up commit histories using a keyboard-first command palette. For developers who rely on GitHub, the Pro tier introduces a pull request dock that brings checks, reviews, PR comments, and merge capabilities directly into the app window, saving you from constant browser tab switching. Because Reviu operates locally and does not meter your agent usage, it fits naturally into existing command-line AI workflows without adding extra per-token costs or forcing you to abandon your preferred CLI tools.