Heroku Strawberry

Your AI companion for Heroku.

A deployment question often begins in a Heroku dashboard but quickly spills into logs, code changes, monitoring, customer reports, and runbooks.

Strawberry can work from the Heroku pages in your authenticated browser session and the surrounding context. It can prepare a clearer incident or release brief before the operator decides what to change.

Build an incident timeline from the evidence already open.

Operational incidents become harder when each person is reconstructing the sequence from a different screen.

Strawberry can turn the Heroku context you have open into a shared timeline. It preserves the timestamp and source of each observation so the team can see what it knows before it guesses.

Make release review a practical handoff.

A release review should answer what changed, what might be affected, and what someone should check next.

Strawberry can combine the visible app and release context with code or runbook material into a short operational handoff. It does not claim it deployed, rolled back, or changed the application.

Keep the customer signal connected to the service context.

A monitoring spike may only become meaningful after it is compared with customer reports and the part of the product they were using. Strawberry can put those sources in the same investigation brief while keeping their origin clear for the person on call.

Standardise the checks after each deployment.

The team can save a good post-deploy checklist as a skill so the same relevant browser pages and evidence questions are used next time. A routine can prepare the review on the cadence you define, while deployment changes remain the responsibility of the operator.

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Frequently asked questions

It can use Heroku browser context from your authenticated session with the supporting tabs and files you provide.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents