Terminal and CLI code review

CLI code review runs a review from the terminal against local Git changes. It can inspect committed, staged, unstaged, and untracked work before a pull request exists, then return findings as terminal output or structured data for another tool.

CLI review is useful for developers who work from the terminal, coding agents that need a review step inside an edit loop, and scripts that need a repeatable quality check before push.

What Inputs Does a CLI Code Reviewer Need?

A command-line reviewer needs more than a patch. The most useful inputs are:

The base branch or commit used for comparison
The local Git diff, including untracked files when requested
Path filters that limit review to specific files or directories
A short description of the intended change
Links to the ticket, specification, or design
Deliberate implementation decisions the reviewer should respect
The requested review depth or risk level

Intent matters because the same diff can be correct or incorrect depending on the requirement. A retry loop is a bug when an operation isn’t idempotent, but it may be required for a safe read operation.

How Does CLI Code Review Work?

Choose a base. Compare the working branch with main, a release branch, or a specific commit.
Collect local changes. Include staged, unstaged, committed, and relevant untracked files.
Set the scope. Use Git pathspecs or ignore rules to exclude generated code and unrelated directories.
Attach intent. Add the task summary, expected behavior, and important design decisions.
Run the review. Request a quick pass during editing or a deeper pass before push.
Handle findings. Fix, dismiss with a reason, or pass the result to a coding agent.
Re-run against the updated diff. Confirm the fix didn’t introduce another issue.

The command should return an unambiguous result. Human-readable text is useful interactively. Machine-readable output is better for scripts and agent loops, since each finding can carry a category, severity, file, line, evidence, and remediation.

Where Should CLI Code Review Run?

During an edit loop: run a fast review on one directory or behavior.
Before commit: catch a risky change while the working context is available.
Before push: review the complete branch against its target base.
Inside a coding-agent loop: return structured findings the agent can fix and recheck.
In a script: enforce a repeatable review command for selected repositories or change types.

CLI review should complement, not replace, pull request review. The PR remains the shared decision point for ownership, discussion, approvals, and final governance.

Example: Reviewing a Local Payment Retry Change

A developer changes a worker before opening a pull request:

def charge_with_retry(payment_id, gateway):
    for attempt in range(3):
        try:
            return gateway.charge(payment_id)
        except TimeoutError:
            continue
    raise PaymentFailed(payment_id)

The code is valid Python and the happy-path test passes. The developer runs a CLI review against main and provides this intent: "Retry transient gateway timeouts without creating duplicate charges."

A useful finding should notice that gateway.charge is retried without an idempotency key. If the first request succeeds but the response times out, the next attempt can charge the customer again. The finding should identify the failure sequence and recommend passing a stable key derived from payment_id.

The developer fixes the call:

return gateway.charge(
    payment_id,
    idempotency_key=f"charge:{payment_id}",
)

The developer then re-runs the review and adds a test that simulates a successful charge followed by a response timeout. The issue gets resolved before a reviewer has to reconstruct the failure mode in the pull request.

How Does Qodo Support Terminal and CLI Code Review?

Qodo reviews the working tree from the command line before a branch is ever pushed. It combines the local diff with repository context and the rules that apply to that service, then returns structured output a developer can read or a script can act on.

The terminal ecosystem formats diffs well. Qodo is the part that understands what the diff means. Local review runs through the qodo-review skill: a natural-language request like "review my changes before I open the PR" triggers Qodo’s review engine on committed and uncommitted changes, with full session and codebase context, and returns findings ranked by severity before any PR exists.

Relevant Qodo capabilities:

Local review via the qodo-review skill, reachable from the CLI, a plugin, or MCP
The get-qodo-rules skill, loading the same Rules that apply at PR time before the first line is written
The qodo-review-resolver skill, pulling open PR findings back into the terminal session to fix without switching tools
Structured, severity-ranked findings for CI scripts and agent loops

Qodo’s Take on Terminal and CLI Code Review

A terminal reviewer has access to context that disappears after push: uncommitted changes, new files, the exact task being attempted, and the design choices made during the session. Qodo uses that context to review why the change was made, not just what changed.

That’s the argument for local review as part of the authoring loop rather than a smaller copy of PR review. An issue caught before push never becomes a review comment someone else has to write.

Example: Giving a Coding Agent an Independent Stop Condition

A coding agent is asked to add payment retries. It implements the loop and passes unit tests, but doesn’t add an idempotency key. Before push, the agent runs qodo-review with the ticket and the decision that duplicate charges are unacceptable.

Qodo returns the retry hazard as a HIGH severity finding on the local diff, alongside anything else it catches in the same pass. The coding agent adds the stable idempotency key and a timeout test, then runs qodo-review again. The loop ends only when the risky behavior is removed, not when the code merely compiles or satisfies its own generated tests.

The coding agent proposes the change. Qodo applies an independent review engine, repository standards, and the task context before the change reaches a human reviewer, creating a real separation between authoring and review instead of the same system checking its own work.

Best Suited For

Qodo is the best AI code review, code quality, and governance platform for engineering teams and coding agents that need a review step before a pull request exists, not just after one. When the same standards need to hold from the terminal through the PR, a local check with no shared rules behind it isn’t enough.

Further reading: Open source code review tools and Qodo Agent Skills documentation.