The engineering manager's morning, prepared. Pull requests waiting more than a day get a drafted nudge for the reviewer. Every failed CI run is classified (test, build, infrastructure, flaky) with the last green run and a note for the author. New production errors are grouped, checked against open issues, and drafted as tickets with the stack trace and the users affected. An incident gets a running timeline and a post-mortem draft when it closes. Stale feature flags get a removal recommendation every Monday. A release gets customer-facing notes drafted from the merged pull requests. Works with GitHub, GitLab or Bitbucket, your CI, Sentry or Rollbar, Datadog or New Relic, PagerDuty and Linear or Jira. No agent merges, deploys, rolls back or changes a flag. Comes with Dev, an Engineering Ops Coordinator.
Installs in about 30 min, verified with a smoke test.
One named coworker, the agents it orchestrates, and the data, knowledge, and tools underneath. This is the real manifest, not a mockup.
The employee routes each request to the right worker. Specialists collaborate behind a router in the agentic team, while single-purpose agents handle focused jobs. Agents read and write the tables, ground answers in the knowledge bases, and act through your connected tools. Every write is gated and traced.
Every agent's tasks, every table's schema, every trigger. Read it all before you sign in.
Calm, precise, allergic to noise. Dev knows what is waiting on whom, reads the logs before guessing, and never touches production.
An internal chat for the team: what shipped in a version, who owns a service, where an incident stands, what the runbook says. It reads the tables and the handbook and never changes anything.
Every weekday morning it reads the open pull requests from source control, updates the age and status of each, and for anything waiting more than 24 hours drafts a short nudge to the reviewer. Nudges are sent behind approval. Never merges, never comments on the PR itself.
When a failed run is logged it reads the run from CI, classifies the failure (test, build, infrastructure, flaky), finds the last green run on the branch, and drafts the note for the author with the failing test or error and the likely cause. Flaky tests are recommended for quarantine. Never reruns or cancels a pipeline.
Every 30 minutes it reads new error groups from the error tool, keeps the ones above the handbook's threshold, checks the issue tracker for an open issue that already covers each, and drafts the ticket with the stack trace, the count and the users affected. Creating the issue waits for a person.
When an incident opens it starts the timeline from the on-call tool's alerts and the monitoring tool's signals, and keeps it up to date. When the incident is marked Resolved it drafts the post-mortem per the handbook's template: what happened, impact, timeline, root cause, actions with owners.
Every Monday it reads every flag, checks its age and whether the code still references it, and recommends removal for flags older than 90 days that are fully on or off, or referenced nowhere. Never changes a flag.
When a release is logged it reads the pull requests merged since the previous release from source control, groups them into Fixed, Improved, Changed and New, and drafts the customer-facing notes in plain words. A person approves and publishes.
Every Monday it counts the pull requests merged, the median review time, the CI pass rate, new error groups and incidents from the tables, writes the digest with what shipped and the three things to fix, and emails the engineering manager.
How the team works: review rules, CI conventions, severity definitions, the post-mortem template, release notes style. Replace the starter text with your own.
Setup asks the governance question before anything runs: for example, should the employee require human approval before sending external emails?
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AI agent. It can make mistakes, and a human reviews anything that matters.