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AI review workflow worksheet

Map the lanes before AI reviewers join the pull request

AI reviewers can catch real defects, but a crowded pull request still needs rules: who owns security, who owns maintainability, which files autofix may touch, what happens when the branch moves, and who signs the final receipt. Use this AI code-review lane map to define the lane before another bot enters the thread.

This is an implementation-planning worksheet, not a security guarantee or compliance template. Use it to define one workflow boundary before expanding tool permissions.

This is for the crowded PR thread

The pull request has a human maintainer, CI checks, an AI reviewer, an autofix suggestion, maybe a second reviewer, and a stale-status comment because the branch moved while everyone was talking.

Some of those comments are useful. Some are noise. The maintainer still has to decide what is real, what is stale, what changed, what failed, and what needs a person.

A lane map gives that thread traffic rules. Each reviewer gets a job, a file boundary, an action boundary, and an owner. That is the operational next step after reading why AI code review bots need lanes and why BaristaLabs treats these artifacts as part of Responsible AI.

What the lane map decides

A lane map is not a list of installed tools. It is the operating agreement for one AI reviewer workflow, one AI pull request review workflow, or one class of automated code review policy.

It answers what this reviewer checks, what files it may read or change, when it may suggest a patch, when it must stop, how it marks stale work, who owns the comment thread, what goes into the final AI code review receipt, and who rolls back a bad fix.

Review lane: summary, security, quality, tests, documentation, dependency, CI, autofix, or human decision.

File boundary: allowed paths, approval-required paths, and blocked paths.

Action boundary: comment-only, patch suggestion, commit after approval, low-risk commit, or never automatic.

State rule: what happens when the branch moves, CI fails, permissions block a fix, or reviewers disagree.

Decision owner: the person or role that accepts, rejects, reruns, escalates, or merges.

Receipt: the final record of what was checked, changed, skipped, failed, and approved.

If the broader action boundary is still unclear, start with the approval policy worksheet. If the evidence trail is unclear, pair this with the agent receipt template.

Copy-paste worksheet

AI code-review lane map worksheet

Copy this for one repository, repo group, or pull request type. Fill it out before enabling a new AI reviewer, autofix permission, CI companion, or coding-agent review loop.

Repository / workflow

Name the repository, repo group, or PR type. Example: customer portal dependency updates or docs-only pull requests.

Human decision owner

Name the role that owns final merge, rerun, reject, escalation, and rollback decisions. Avoid human review without an owner.

Reviewer lane

Assign one lane to this reviewer: summary, security, quality, tests, documentation, dependency, CI, autofix, or final human decision support.

What this lane owns

State the specific checks this reviewer is responsible for. Example: secrets, auth, permissions, and customer-data handling.

What this lane does not own

State what it should not comment on so tools do not duplicate each other. Example: style comments, deployment policy, or final approval.

Allowed files / paths

List paths the reviewer may read, comment on, or suggest changes for. Keep the set narrow for the first rollout.

Approval-required files / paths

List paths that require a person before any patch or commit: application code, tests, dependencies, config, workflow files, deployment scripts, secrets handling, migrations, billing, auth, and customer-data paths.

Blocked files / paths

List files or systems the reviewer must not touch in this lane, including credentials, production secrets, generated vendor files, regulated data, or unrelated repositories.

Comment permission

Define whether the reviewer may post findings, summaries, risk notes, CI explanations, or only private/internal draft output.

Autofix permission

Define the highest allowed action: no autofix, attach patch only, open a separate commit after approval, commit low-risk fixes, or never touch certain paths.

Low-risk autofix examples

Name safe first actions if any: typo fixes, markdown formatting, generated docs, lint-only changes, or non-production cleanup.

Never-autofix examples

Name hard-stop categories: CI workflows, deployment scripts, auth, secrets, billing, migrations, production config, customer-data handling, legal, and compliance-sensitive files.

Branch / staleness behavior

Decide what happens if the branch changes mid-review or mid-fix: mark stale, pause, discard patch, attach stale suggestion, or require manual rerun.

CI / comment owner

Name who triages status comments, failing checks, bot noise, duplicate findings, and rerun requests.

Escalation rule

List conditions that send the PR to a senior reviewer, security owner, product owner, or release owner. Include reviewer disagreement, sensitive paths, missing tests, branch drift, permission failures, and unclear source evidence.

Receipt fields

Define the final PR receipt: tool/lane, commit range checked, files reviewed, findings accepted, findings ignored, fixes committed, fixes failed, stale results, unreviewed areas, human approver, and rollback link.

Rollback owner and path

Name who reverts a bad autofix, restores a workflow/config file, opens the corrective PR, notifies stakeholders, or disables the tool permission.

First-run review sample

Decide how many PRs stay under close review before permissions expand. Example: first 20 PRs, first 2 weeks, or all PRs touching sensitive paths.

Success signal

Define what proves this lane helped: fewer missed security/config issues, less duplicate review noise, faster triage, clearer receipts, safer autofix boundaries, or fewer stale comments.

Review date

Set the date to revisit permissions after seeing real pull request behavior.

If the full worksheet is too much, answer these seven questions

  1. What lane does this reviewer own?
  2. Which files may it read, comment on, or suggest patches for?
  3. Which files require human approval before any fix?
  4. What must it never autofix?
  5. What happens when the branch moves while it is reviewing or fixing?
  6. Who owns CI/comment triage and final merge decisions?
  7. What receipt proves what changed, failed, went stale, and still needed a person?

Example: dependency-update pull requests

Use this example to see the difference between a generic AI reviewer rule and a working repository boundary.

Repository / workflow

Customer portal dependency-update pull requests.

Human decision owner

Backend lead owns final merge, rerun, reject, and rollback decisions.

Reviewer lane

Dependency and security review.

What this lane owns

Dependency release notes, vulnerable packages, auth/session side effects, config changes, and missing tests around changed behavior.

What this lane does not own

Style comments, product behavior decisions, release timing, or final approval.

Allowed files / paths

package.json, lockfile, dependency changelog links, and test files related to updated packages.

Approval-required files / paths

Application code, CI workflows, deployment config, auth/session code, migrations, and production telemetry config.

Blocked files / paths

Secrets, billing config, production credentials, unrelated workspaces, and customer data exports.

Comment permission

May post findings and risk notes on the PR. Duplicate style comments should be suppressed.

Autofix permission

May attach patch suggestions for docs or lockfile cleanup. May not commit workflow, auth, migration, or deployment changes.

Branch / staleness behavior

If the branch changes during review, mark the result stale and require a manual rerun before findings are treated as current.

CI / comment owner

Backend lead triages bot comments and failing checks before assigning work.

Escalation rule

Escalate to security owner for auth, session, secret handling, dependency CVEs, or unclear source evidence. Escalate to release owner if workflow/deployment files are involved.

Receipt fields

Tool lane, commit range, packages checked, files reviewed, findings accepted/ignored, stale results, fixes committed, fixes blocked, human approver, rollback PR or revert link.

Rollback owner and path

Backend lead opens a revert PR or disables the dependency update, then records the rollback link in the receipt.

First-run review sample

Review the first 20 dependency PRs before allowing any automatic low-risk commits.

Success signal

Fewer missed dependency/config issues, less duplicate comment noise, and a usable receipt on every dependency PR.

Pair the lane map with the approval policy and receipt

The lane map is the code-review-specific control. It should sit between the broader approval policy and the final receipt.

The approval policy says what an AI workflow may read, suggest, change, escalate, log, and roll back. The lane map translates that into repository rules. The receipt proves what each reviewer actually checked after a pull request runs through the process.

FAQ

What is an AI code-review lane map?

An AI code-review lane map is a short operating worksheet that says what each reviewer owns, which files it may touch, what it may autofix, what happens when the branch changes, who owns the final decision, and what receipt the PR should leave behind.

Is this only for CodeRabbit, Copilot, or Amazon Q Developer?

No. The worksheet is tool-agnostic. Use it for any automated reviewer, coding agent, CI companion, autofix tool, or bot that comments on pull requests or proposes changes.

Does every AI reviewer need a separate lane?

Every reviewer should have a clear job. Some teams may use one tool for several lanes, but the rule still helps: summary, security, quality, test coverage, CI, autofix, and human decision ownership should not blur together in the same comment pile.

Should AI reviewers be allowed to autofix code?

Not by default. Start with comment-only or patch-only behavior, then allow low-risk fixes only after the team has evidence. CI workflows, deployment scripts, auth, secrets, billing, migrations, production config, and customer-data handling should require human approval by default.

What happens if the branch changes during review?

The lane map should define the default behavior before launch. For most teams, stale results should be marked stale, paused, discarded, or rerun manually instead of posted as if they still apply to the latest commit.

How does this relate to agent receipts?

The lane map defines the review rules before the PR runs. The receipt records what happened after the review: what each tool checked, which commit range it reviewed, what changed, what failed, what went stale, what remained unreviewed, who approved, and how to roll back.

Bring the lane map to a 20-minute workflow review

If your team is adding an AI reviewer, autofix tool, CI companion, or coding agent, fill out the lane map before expanding permissions. BaristaLabs can help pressure-test which reviewer owns which lane, which files stay manual, when a branch-stale result is ignored, what the final receipt records, and who owns rollback.

Best fit for teams adding AI reviewers, autofix tools, coding agents, or CI companions to repositories that already have human review.

Use this for one PR lane

Start with one repository or pull request type. Do not give a new reviewer broad repo-wide permission before the team can explain the lane, file boundary, stale-branch rule, receipt, and rollback owner.