DEVOPS

Agent-Driven Codebase Feature-Flag Audit and Cleanup

An agent crawls the repository on demand, reconciles in-code flag references against the flag registry.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator starts audit manually
  • ActionSearch all flag references in GitHubGitHubGitHub
  • LogicReconcile against registry, classify flagsPostgreSQLPostgres
  • ActionOpen removal PR per stale flagGitHubGitHub
  • ActionPublish audit findings to ConfluenceConfluenceConfluence
  • OutputPost audit digest to SlackSlack

What it does

Runs a full reconciliation between the flags your code references and the flags your registry knows about. An agent reads the codebase, finds orphaned references and expired flags, decides which are genuinely safe to remove, and opens a removal PR for each with a plain-English justification.

When to use it

Use it for a periodic deep audit rather than a quick scan, especially before a major release or when the flag registry has drifted out of sync with the code.

How it works

  1. 1An operator triggers the audit manually.
  2. 2The agent searches GitHub for every flag reference across the repository.
  3. 3It cross-checks each reference against the registry stored in Postgres, classifying flags as active, expired, or orphaned.
  4. 4For expired and orphaned flags it removes the code paths and opens a PR per flag with a rationale and risk note.
  5. 5A Confluence page is updated with the full audit findings as a durable record.
  6. 6A Slack digest links the new PRs and the audit page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  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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