# Developer Self Service via Slackbot

This walkthrough shows how developers can provision cloud infrastructure entirely from Slack — using the Duplo Slackbot to kick off a task, track progress, and close out a Jira ticket without switching tools.

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## The Scenario

A developer needs to create a new S3 bucket for their order service analytics feature. Instead of filing a ticket and waiting, they handle it directly from Slack.

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## Step 1 — Mention the Slackbot

The developer mentions the Duplo Slackbot in their Slack channel and refers it to the relevant Jira ticket.

![Mention bot and reference Jira ticket](/files/B5Q0sf4k0TAXV0bqN7I9)

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## Step 2 — Set Workspace and Scopes

The developer enters a few details — workspace and scopes — directly in Slack to give DuploCloud the access it needs and set the task in motion.

![Enter workspace and scopes in Slack](/files/rfyEvtZAFQjT574cpCTG)

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## Step 3 — DuploCloud Creates a Ticket and Gets to Work

DuploCloud automatically creates a ticket and begins working on the task autonomously.

![DuploCloud ticket created](/files/C262JZhCPw302p6E4fUb)

Progress is streamed back to Slack in real time. You can also click **Open in AI DevOps** from the Slack message to jump directly into DuploCloud and see every action the agent is taking.

![Agent working, updates in Slack](/files/D9BvTaJowOeBrGQn5Lqo)

![Agent actions visible in DuploCloud in real time](/files/PxS2slfwjPSGX6nAOZBa)

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## Step 4 — Agent Reads the Jira Ticket

The agent reads the Jira ticket for context — the S3 bucket requirements, size, environment, and retention policy are all specified there. When permissions are needed, it asks before proceeding.

![Jira ticket with S3 specifications](/files/Q0UoyjVSaqQIm6wgAtmf)

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## Step 5 — Terraform Files Generated

Once the agent has everything it needs, it proceeds to execution — generating all the Terraform files for the S3 bucket.

![Terraform files created](/files/Va2c2L6LLQSufID6FpTD)

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## Step 6 — Pull Request Opened on GitHub

The agent opens a pull request on GitHub with the generated Terraform. The Slackbot notifies the developer and waits for the PR to be approved.

![GitHub PR created](/files/3aH75ztoGXztUWBFuUS7)

![Slackbot waiting for PR approval](/files/LHMo32kosgfgPi3uHXKv)

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## Step 7 — Merge the PR

The developer reviews and merges the pull request directly in GitHub.

![Merging the pull request](/files/bRxN3HuxkMm8NkC0Bqll)

Back in Slack, the bot confirms the PR has been merged and proceeds to apply the Terraform.

![PR merged — applying Terraform](/files/N7JtMm9tDgSQRc14llhG)

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## Step 8 — Task Complete, Visible in HelpDesk

The entire task is completed autonomously. The same work is also visible in DuploCloud's HelpDesk, giving the team full audit trail and visibility.

![Task completed and visible in HelpDesk](/files/mx808lGmwU59rPBeiZ4Q)

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## Step 9 — Jira Ticket Closed Automatically

The developer asks the bot to update Jira. The ticket is marked as done with a comment that includes a full summary of everything the bot did — including the GitHub PR link.

![Jira ticket marked done with PR comment](/files/GrImSh1DYiJ3jHFjYs6v)

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## Back to Writing Code

With the infrastructure provisioned, the PR merged, and Jira updated — all from Slack — the developer can go straight back to writing code.

![Developer back to writing code](/files/1HJizAouhoDgYYlRryMP)


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