DEVOPS

Comment projected cost impact on PRs that touch cost-sensitive infra

When a pull request changes infrastructure code, this agent estimates the recurring cost delta of the change using recent spend history and posts a plain-English projection…

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitHub pull request opened or updatedGitHubGitHub
  • LogicFilter to PRs touching cost-sensitive infra files
  • ActionFetch service recent spend trend from DatadogDatadogDatadog
  • LogicEstimate recurring cost delta from diff and trend
  • OutputPost projected cost-impact PR review commentGitHubGitHub

What it does

Shifts cost attribution left to review time. When a PR touches infrastructure definitions, the agent reads the diff, looks up the affected service's recent spend trend, reasons about whether the change likely raises or lowers recurring cost, and leaves a review comment with a projected monthly delta and the assumptions behind it.

When to use it

Use it when cost surprises keep landing in production and you want reviewers warned at the PR stage. Best for teams whose infra lives in version-controlled config and who already track per-service spend.

How it works

  1. 1A GitHub pull-request event triggers the workflow when infra paths change.
  2. 2A logic step filters to PRs touching cost-sensitive files; others are skipped.
  3. 3The agent fetches the changed service's recent spend trend from Datadog.
  4. 4It reasons over the diff and the trend to estimate a recurring monthly cost delta with stated assumptions.
  5. 5It posts the projection as a PR review comment, flagging large increases for extra scrutiny.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect DatadogMetrics, traces, log search.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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