Get PRs Reviewed Faster with Smarter Notifications

AI identifies the right reviewers, generates PR summaries, and sends email requests with estimated review time — smarter than GitHub's defaults.


Why this matters

Pull requests sit unreviewed for days because the right reviewers aren't notified effectively. GitHub's default notifications are noisy — reviewers receive too many requests and can't prioritize. The result is slower development velocity, merge conflicts from stale PRs, and frustrated developers waiting for approvals.


How MultiMail solves this

MultiMail's AI agent analyzes PRs to identify the most relevant reviewers based on code ownership and expertise, generates concise summaries highlighting key changes, and sends targeted email requests with estimated review time. Autonomous mode ensures instant delivery.

1

Detect New PR

Your CI/CD system sends a webhook when a PR is created or updated. The AI agent analyzes the diff to understand the scope and nature of changes.

2

Identify Relevant Reviewers

The agent determines which developers have expertise in the affected code areas using CODEOWNERS, commit history, and team metadata from your contacts.

3

Generate PR Summary

The agent writes a concise summary of key changes, potential risks, and estimated review time so reviewers can prioritize effectively.

4

Send Review Request

Using send_email with autonomous oversight, the agent delivers personalized review requests to each identified reviewer with the summary and direct PR link.


Implementation

Send a PR Review Request
python
import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

response = requests.post(
    f"{API}/send",
    headers=HEADERS,
    json={
        "from": "[email protected]",
        "to": ["[email protected]"],
        "subject": "Review requested: Refactor email parsing (est. 15 min)",
        "text_body": (
            "Hi Casey, your review is requested on PR #482.\n\n"
            "Summary: Refactors email MIME parsing to handle multipart " 
            "messages with nested attachments. Adds support for " 
            "Content-Transfer-Encoding: quoted-printable.\n\n"
            "Key changes:\n"
            "- New MimeParser class (src/parsing/mime.ts)\n"
            "- Updated attachment extraction logic\n"
            "- 12 new test cases for edge cases\n\n"
            "Risk: Medium - touches core parsing pipeline\n"
            "Est. review time: 15 minutes\n\n"
            "Review: https://github.com/yourorg/repo/pull/482"
        ),
        "html_body": "<h2>Review Requested: PR "cm">#482</h2><p>Summary: Refactors...</p>"
    }
)
print(f"Review request sent: {response.json()[&"cm">#039;id']}")

Notify a reviewer about a new PR with an AI-generated summary and estimated review time.

Find Code Owners for Review Routing
python
import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

"cm"># Find developers who own the parsing module
reviewers = requests.get(
    f"{API}/contacts/search",
    headers=HEADERS,
    params={"query": "parsing-module owner"}
).json()

for reviewer in reviewers["results"]:
    print(f"Reviewer: {reviewer[&"cm">#039;name']} ({reviewer['email']})")
    "cm"># Send personalized review request to each

Search contacts to identify the right reviewers based on code ownership.

MCP Tool: PR Review Notification
typescript
"cm">// Search for the right reviewers
const reviewers = await mcp.search_contacts({
  query: "parsing email-module",
  limit: 3
});

"cm">// Send review request to each reviewer
for (const reviewer of reviewers.results) {
  const result = await mcp.send_email({
    to: reviewer.email,
    subject: "Review requested: Refactor email parsing (est. 15 min)",
    text_body: `Hi ${reviewer.name}, PR #482 refactors the MIME parser...`
  });

  await mcp.tag_email({
    email_id: result.id,
    tags: ["pr-review", "pr-482", "parsing-module"]
  });
}

Use MCP tools to send PR review requests and track response.


What you get

Faster Review Turnaround

Targeted notifications to the right reviewers with clear summaries help PRs get reviewed in hours instead of days.

Prioritization Through Context

Estimated review time and risk assessment help reviewers decide which PRs to tackle first, improving overall development velocity.

Reduced Notification Noise

Only relevant reviewers are notified, unlike GitHub's default which can notify entire teams. Less noise means each notification gets more attention.

Email Persistence

Review requests stay in the reviewer's inbox until acted upon, unlike Slack messages or GitHub notifications that scroll away in busy channels.


Recommended oversight mode

Recommended
autonomous
PR review requests are internal, time-sensitive, and generated from code review data. Content risk is minimal since notifications contain PR summaries and links. Autonomous mode ensures developers get notified immediately when their review is needed.

Common questions

How does the AI determine estimated review time?
The agent analyzes the diff size, number of files changed, complexity of modifications, and whether the changes touch core versus peripheral code. A 50-line change to a config file gets a lower estimate than a 50-line change to the authentication module.
Can I customize reviewer selection logic?
Yes. Your AI agent controls the reviewer selection algorithm. Common approaches include CODEOWNERS file matching, recent commit history analysis, and team rotation schedules. Store reviewer expertise in MultiMail contact metadata for the agent to reference.
What if the reviewer doesn't respond?
Your AI agent can send follow-up reminders after a configurable period. It can also escalate to the team lead if a PR remains unreviewed past a deadline. Track response patterns to optimize notification timing for each reviewer.
Does this replace GitHub's review request feature?
It complements it. GitHub's review request is the formal assignment; MultiMail's email notification ensures the reviewer actually sees it with enough context to prioritize and act. Many teams find that email review requests reduce time-to-first-review significantly.

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