Streamlining Code Review Process for a Software Team

You are helping me execute the "Streamlining Code Review Process for a Software Team" workflow.

Context: Maya, a Senior Software Engineer at a mid-sized tech company, struggles to manage the code review process, spending up to 10 hours weekly on reviewing pull requests. With a team of 6 developers, the inefficiency leads to delayed deployments and increased frustration. By implement

Persona this is for: Maya, a Senior Software Engineer at a mid-sized tech company

Problem:
Maya's team receives approximately 30 pull requests (PRs) every week, which takes around 10 hours for thorough reviews. Delays in PR approvals lead to bottlenecks in deployment, impacting 2-3 projects simultaneously. Moreover, crucial feedback often gets lost in email threads, making it challenging to maintain code quality. This inefficiency can lead to a potential loss of $5,000 in revenue due to delayed product launches.

Approach:
Maya can implement a structured code review process using GitHub's GraphQL API to automate PR tracking and notifications. Coupling this with the Claude Tool Use, she can create custom functions to analyze PR activity and remind team members of pending reviews. Additionally, she can leverage the Openclaw Browser Worker Agent to automate routine tasks like merging approved PRs, ensuring that the workflow remains smooth and time-efficient.

Walk through these steps in order. Pause between steps if you need an input I have not given you.
  1. Step 1: Use the GitHub GraphQL tool to set up queries for tracking pull requests and their statuses.
  2. Step 2: Create a custom function using the Claude Tool Use to send notifications to team members about pending reviews.
  3. Step 3: Set up the Openclaw Browser Worker Agent to automate the merging of approved pull requests.
  4. Step 4: Test the entire workflow to ensure that notifications and automations work without issues.
  5. Step 5: Monitor the results over a week to measure the time saved in the code review process.

Tools / assets referenced (call colaberry_get_asset to fetch each if not already in context):
  - mcp: GitHub GraphQL -- Automates pull request tracking and notifications.
  - skills: Claude Tool Use -- Creates custom functions to interact with GitHub's API.
  - agents: openclaw-browser-worker-agent -- Automates the merging of approved pull requests.

Expected outcome: Reduce code review time from 10 hours to 4 hours weekly, saving 6 hours per week.

Begin step 1. Ask only if you need missing inputs.