AI Code Review
Review AI-generated code without losing control.
Keep Claude Code, Codex, Gemini CLI, OpenCode, or another terminal-based coding agent. FiboCode turns their file changes into an IDE-grade review surface with focused hunks, automatic diff summaries, single-column human review, snapshots, history, and rollback.
Agent speed still needs a human decision point.
Command-line agents can change several files before a developer has inspected the first edit. Raw terminal output reports activity, but it is not always the best place to understand the final code, compare surrounding lines, or revisit the state associated with an earlier message.
FiboCode keeps the Agent CLI workflow and adds a visual review layer around its changes. Read the generated diff summary, inspect individual hunks and real code in a single-column diff state, and use message snapshots to return a file to an earlier state. The product supports human review; it does not substitute another AI reviewer for your judgment.
Inspect the actual review surface.
Three product demonstrations cover focused hunks, an automatic diff summary with single-column human review, and snapshot rollback.
Move through localized changes while retaining the surrounding code needed to understand each edit.
Read the generated summary, then inspect the underlying change yourself in the single-column diff state.
Use message snapshots to revisit an earlier file state when an agent’s later direction needs reconsideration.
Keep the agent, add a review loop.
The workflow begins after your chosen terminal agent edits the workspace and ends with a developer-controlled result.
Run the Agent CLI you already use.
Work with Claude Code, Codex, Gemini CLI, OpenCode, or another terminal-based agent in the existing terminal workflow.
Open its file changes in the review surface.
Move from terminal activity to the actual modified code, where diffs and focused hunks make the result easier to inspect in context.
Read the summary, then inspect the diff.
Use the generated summary to orient yourself, then verify the implementation and neighboring lines in the single-column diff state.
Use history and snapshots when direction changes.
If a later message produced an unwanted direction, return a file to the state before a selected message and continue from known code.
IDE-grade inspection for terminal-agent output.
Focused hunk navigation.
Hover and scroll through localized changes so a large agent edit can be reviewed as understandable pieces in source context.
Automatic diff summary with human review.
Start with the generated summary, then verify the real code yourself in the single-column diff state.
Message-linked snapshots.
Relate file state to the agent conversation and recover the version that existed before a selected message.
Human-controlled review.
FiboCode exposes evidence for your decision. It does not claim to automatically judge whether generated code is correct.
Use case: an agent refactors more than expected.
A terminal agent completes a requested refactor but touches several neighboring files. Open the changes in FiboCode, read the summary, and inspect each focused hunk in the single-column diff state.
If a later instruction took one file in the wrong direction, use the message snapshot to return that file to the earlier state. You remain responsible for checking behavior and running the project’s acceptance methods before keeping the result.
Review AI-generated code instead of asking another AI to decide.
Automated review tools can produce additional findings, but this FiboCode feature has a different role: it gives the developer a clear surface for inspecting the code produced by a coding agent. Diffs, hunks, history, and snapshots support your judgment rather than replacing it.
It also stays independent of one agent brand. The review begins with changed workspace files, so the same human workflow can sit above several terminal-based Agent CLIs.
One review workflow across Agent CLIs.
FiboCode is designed around terminal-based agent output rather than a brand-specific landing page. The compatible workflow covers these current choices and other terminal agents that modify workspace files.
- Claude Code
- Codex
- Gemini CLI
- OpenCode
- Other terminal-based coding agents
Review code generated by Claude Code.
Continue using Claude Code in the terminal. When it changes project files, read the diff summary, inspect the single-column diff state and focused hunks, and use message-linked snapshots when you need an earlier file state.
Review code generated by Codex.
Keep Codex as the coding agent and use the same FiboCode review path for its workspace edits. The source view, history, and rollback tools remain centered on the developer’s own inspection.
AI code review FAQ
Does FiboCode automatically review code with another AI?
No. This feature gives people an IDE-grade surface for reviewing agent-generated changes. The developer remains responsible for judging the implementation and its verification.
Which coding agents can I use?
The workflow covers Claude Code, Codex, Gemini CLI, OpenCode, and other terminal-based coding agents that change files in the workspace.
Does the diff summary replace human review?
No. It helps you orient yourself before you inspect the real change in the single-column diff state and run the project’s acceptance methods.
What do message snapshots provide?
Snapshots connect file state to messages, allowing a file to return to the version that existed before a selected message when direction changes.
Do I still need tests and project checks?
Yes. Visual review helps you understand the code change, while the project’s tests and acceptance methods provide the evidence required for correctness.