Show HN: Revdiff – TUI diff reviewer with inline annotations for AI agents
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| Source: HN | Original article
A developer has released **Revdiff**, a terminal‑based diff reviewer that lets users annotate AI‑generated code changes inline and feed those notes back to the originating agent. The open‑source tool, posted on Hacker News as “Show HN: Revdiff – TUI diff reviewer with inline annotations for AI agents,” solves a workflow gap: developers can now stay inside the same terminal session where a Claude‑powered or other LLM coding agent runs, inspect the diff, add comments, and have the agent automatically incorporate the feedback.
Revdiff’s interface is a curses‑style text UI that displays file diffs, plans, or documentation side‑by‑side with a cursor‑driven annotation pane. Annotations are serialized into a format the attached agent understands, enabling a tight edit‑review loop without context switches to a GUI IDE or web‑based review platform. The project ships as a plugin for Claude Code, Anthropic’s code‑assistant extension, and the repository includes a generic API for plugging in other agents.
Why it matters is twofold. First, it lowers the friction of human‑in‑the‑loop code review for AI‑assisted development, a step that has been a bottleneck in the emerging “agent‑as‑a‑service” model. Second, by keeping the interaction in the terminal, Revdiff aligns with the workflow of developers who already use CLI tools for version control, CI, and LLM prompting, potentially accelerating adoption of AI coding assistants in production environments.
The next developments to watch are integration breadth and community uptake. The author hints at future support for multiple agents, including Amazon Bedrock’s AgentCore, and a “continuous review” mode that could let two agents iteratively refine code without human intervention. As we reported on April 13, Claude’s managed agents and the Claude Code plugin are gaining traction; Revdiff could become the de‑facto UI layer that bridges human reviewers and those agents. Monitoring GitHub activity, early‑adopter feedback, and any commercial extensions from Anthropic or cloud providers will indicate whether terminal‑first diff review becomes a standard part of AI‑driven software development.
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