----------------️ Tool===================Opening: Crit is a local-first feedback and review utility focused on human-in-the-loop iteration with AI coding agents. It provides a PR-style review surface for agent plans and code, keeps previous comments visible across rounds, and notifies agents when reviews finish so they can iterate automatically.Key Features:• Inline Comments: PR-style inline comments on selected line ranges, preserved across rounds.• Diff Views: Side-by-side git diffs and round diffs for tracking changes between agent iterations.• Agent Integrations: Integrations described for Claude Code, GitHub Copilot, Aider, Cline and Windsurf; designed to operate with any agent that reads files.• Rich Rendering: Syntax highlighting across 190+ languages and interactive Mermaid diagram rendering for plans/specs.• Editor Shortcuts: Vim-style keybindings and keyboard-driven review flow, plus sharing of review links.Technical Implementation:• Local-first Architecture: The tool emphasizes local operation and file-based listening rather than cloud-only workflows; it monitors repository files and skill files so agents can pick up feedback without centralized authentication.• Feedback Loop Mechanism: Reviews generate structured comments that the connected agent can consume; the user finalizes a review (Finish Review) and the agent is signalled to edit files and produce a new round. The tool stores round metadata to compute diffs between revisions.• Pluggable Agent Hooks: Integration points are implemented as skill files or agent-facing rules so multiple agent implementations can be supported without changing the core review UI.Use Cases:• Team members reviewing proposed agent plans or code before the agent performs changes.• Iterative spec-to-code workflows where visible comments must persist across agent edits.• Maintaining human oversight over multi-round agent workflows in private/local environments.Limitations and Considerations:• The tool is oriented toward local workflows and file-based agents; workflows that require centralized cloud coordination or hosted UIs may require additional integration.• Features that mention sessions or tokens (e.g., JWT tokens in example comments) indicate practices to review for production-grade session management but do not prescribe specific authentication patterns.• The repository showcases integrations but specific agent behavior depends on each agent's ability to read feedback files and react programmatically. tool #ai #feedback #localfirst Source: https://crit.md/
