Every time a pull request is merged on GitHub, a Make automation extracts the PR description and reviewer comments, then writes a structured decision record to Kumbukum. Your team's AI tools instantly know why that code choice was made. Future AI sessions stop repeating old debates.
Connect your GitHub repo to Make using a webhook that fires on pull request merge.
Set up a Make scenario to extract the PR title, description, linked issues, and key review comments.
Format the extracted data as a decision record and POST it to your Kumbukum shared library via API.
Post a summary message to your team's Slack channel so everyone knows a new decision was logged.
Create a free account to get the steps written out for your tools, click by click.
Create a free accountEliminate repeated context-setting discussions and cut onboarding time for new developers.
Where AI helps: Kumbukum serves as an AI-readable memory store for engineering decisions. Make extracts context from each merged PR and writes a structured record to Kumbukum. Future AI sessions in Claude, Cursor, or other tools can query that library so they already know why past code choices were made — without anyone re-explaining.
Grab a 15-minute chat. We don't sell software, so we have no stake in which one you use.
