PR review prep
Context summary, related ticket links, impacted services, and the standard checklist – drafted before the reviewer opens it.
By team · Engineering
Less context-switching. More shipping.
A co-worker for the work that lives between code review, runbooks, and incident triage.
§01 · Weekly work
The recurring work between writing code.
The interruptions that fragment engineering time – context assembly, runbook hunting, incident triage. A co-worker handles the assembly so the engineer keeps the focus.
Doc & runbook lookups
Surface the right Confluence page, the right runbook step, the right ADR – instead of seven Slack threads chasing it.
Incident context assembly
Timeline from logs, the triggering deploy, the related ticket, and the last similar incident – gathered before the on-call lands.
Weekly ops digest
SLO summary, top alerts, deploy cadence, lingering toil – assembled for the team review every Friday afternoon.
§02 · Co-worker
A co-worker that reads the repo, the docs, the tickets, the pages.
Connects to the systems engineering already runs on. Assembles context. Drafts handoffs. The engineer keeps the merge button.
RIY-ENG-01
Connected
GitHub
Confluence / Notion
PagerDuty
Slack
Engineering co-worker
read·draft·approve
PR context drafted
Runbook surfaced
Incident timeline assembled
§03 · Engines
The agent engines doing the work.
For engineering: the analysis engine for context, the watchful engine for anomalies, the goal-based engine to chase a target through to resolution.
Data Analysis Agent
Reads logs, ticket history, and code diffs. Assembles the "what changed, what touched it, what came after" view.
Analytical · Cited
Anomaly Detection Agent
Watches SLOs, deploy regressions, error rate shifts. Surfaces the unusual moment before the page wakes the on-call.
Watchful · Proactive
Goal-Based Agent
Carries an incident or migration goal across steps – gathering, drafting, asking, waiting – until the human marks it done.
Persistent · Step-aware
§04 · Sample workflow
Incident triage, assembled before the on-call lands.
A real engagement pattern – what the team asked for, what the co-worker did, what got approved, and what landed in the incident channel inside 90 seconds.
What was asked
"Give the on-call the timeline – before they're awake."
An on-call rotation kept losing the first 15 minutes of every incident to context assembly: which deploy went out, which logs lit up, which ticket touched the affected service, which Slack thread had the last operator's notes.
What the co-worker did
Watched the page fire. Assembled the timeline in 90 seconds.
The moment the PagerDuty page fired, the co-worker pulled the last 24h of deploys touching the affected service, surfaced the matching runbook, and stitched a timeline from the log spike, the related ticket, and the relevant Slack threads. Source links on every entry.
What got approved
The on-call read the timeline, confirmed the rollback path, executed.
The on-call opened the incident channel, scanned the draft timeline, confirmed the rollback path the runbook suggested matched, and ran it. The co-worker doesn't run rollbacks – humans do.
What shipped
Mean time to diagnosis down meaningfully, post-mortem half-written.
An implementation-led engagement that took 4 weeks including the security review for log access. The on-call gets a head start. The post-mortem gets its first draft for free.
§05 · Get started
Bring the one weekly thing your engineering team repeats.
We'll map it with you, identify the minimum context, and ship a working version in 2—4 weeks – your repo, your tools, your merge button.