Engineering agents investigate alerts, turn tickets into pull requests, reproduce bugs and keep dependencies current. They work in your repositories, trackers and monitoring, connected through the context engine, and nothing merges until an engineer approves it.
Engineering agents act in the systems your team already runs. The context engine connects them, so an agent following an alert sees the commit that caused it, the ticket that reported it and the thread where it was discussed, and acts with all of it in view.
Sentry
GitHub
Bitbucket
Jira
CloudWatch
Graylog
Slack
ConfluenceThe work that interrupts your engineers every day, picked up by agents and brought back to a person at the point a decision is needed.
Reads a new Sentry error, traces it to the change behind it, writes a fix plan for approval, then writes the fix and opens the pull request.
The fix is waiting for review when your engineers arrive.
SentryGitHubJiraTakes a well-specified ticket, works out where the change belongs, and opens a pull request with the plan and the reasoning attached.
Engineers review and refine instead of starting from a blank branch.
JiraGitHubBitbucketTakes a bug from a ticket or a customer report, reproduces it against the code, and attaches the steps, the evidence and the likely cause.
No more “cannot reproduce” ping-pong between support and engineering.
JiraGitHub
IntercomGroups duplicate errors and tickets, judges impact from what is affected, and routes each to the team that owns the code.
The backlog is sorted before standup, not during it.
SentryJiraGitHubWatches for vulnerable and outdated dependencies and opens small, reviewable pull requests, one change at a time.
Security fixes arrive as small, reviewable changes, without an upgrade sprint.
GitHubBitbucketJiraReads the alert, the logs and the metrics around it, connects them to recent changes, and writes up what happened and what to do.
On-call starts from an explanation, not a dashboard.
CloudWatchGraylog
ZabbixEach one is configured once by your admins: what it is for, the skills it can use and the systems it may touch. The same agent answers in chat, runs on a schedule and takes steps inside a workflow.
Turns alerts and tickets into reviewed pull requests: investigates, plans, asks for approval, then writes the change.
Reproduces reported bugs, runs regression on release branches, and triages what comes in.
Investigates infrastructure alerts and keeps dependencies and security patches current.
Engineering agents work on branches and in pull requests. Every point where their work could reach production waits for a person.
A workflow can stop for approval before an agent writes code, and again before a pull request is opened. Nothing merges on an agent's say-so.
Each agent reaches only the systems you connect it to, and only through the actions those connectors allow.
Every action an agent takes against your systems lands in the audit log: which agent, on whose behalf, and what it changed.
The systems engineering teams already run, from the connector catalog.
Deployed in minutes. Priced to the dollar.