DEVOPS

CEO agent gives a go/no-go on each flag ramp step

Before advancing a flag to its next rollout percentage, an agent reviews Honeycomb health signals and recent Sentry issues, decides go or no-go.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires at each ramp checkpoint
  • ActionPull cohort error rate and latency from HoneycombHoneycomb
  • ActionPull new and regressed release issues from SentrySentrySentry
  • LogicAgent verdict: go or no-go with confidence
  • ActionAdvance or hold flag percentage via GitHubGitHubGitHub
  • OutputLog verdict and evidence to SlackSlack

What it does

Puts an agent at every step gate of a progressive rollout. It reasons over multiple health signals rather than a single threshold, then either advances the ramp or holds it and explains why.

When to use it

Use when your rollout decisions are nuanced — a small error bump might be acceptable if Sentry shows it is a known noisy issue, but not if latency is also climbing. Best when you want judgment, not just a static rule.

How it works

  1. 1A schedule fires at each scheduled ramp checkpoint.
  2. 2The agent pulls error rate and latency from Honeycomb for the current cohort.
  3. 3The agent pulls new and regressed issues from Sentry tied to the release.
  4. 4A logic branch captures the agent's go / no-go verdict and confidence.
  5. 5On go, a GitHub action advances the flag to the next percentage; on no-go it holds and flags for review.
  6. 6A Slack message records the verdict, the evidence the agent weighed, and the new rollout state.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Connect GitHubRepos, issues, pull requests, actions.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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