Engineering agents that ship alongside your team
Triage issues, write customer-ready release notes, answer warehouse questions and assemble incident context — in the tools your team already lives in.
No credit card required · Works with your existing tools
70%
of issues auto-triaged and routed
5 min
to release notes, from an hour
24/7
incident context assembled on page
Works with the tools your team already uses
What engineering teams lose every week
Agents remove the repetitive middle of the work — the collecting, formatting, chasing and reporting — and leave the judgement to you.
- New issues sit unlabelled until someone does a triage sweep.
- Release notes are written from commit messages the night before.
- Every data question becomes a ticket for the analytics team.
Built for the everyday work of engineering teams
New issues labelled and assigned instantly
Deduplicate reports, infer severity from the description and route to the team that owns the surface.
Build once, run everywhere, refine as you go
Every agent is a chat you can share, schedule and improve — with connectors, skills, knowledge and sub-agents behind it.
Connect your tools
Plug in the apps your team already uses — each user connects their own accounts, isolated from everyone else.
Choose your AI model
Pick the model that fits the task and switch any time. No API keys to manage per project.
Add custom skills
Teach agents how your team works, then share those skills across the workspace.
Cite the source
Every answer links back to the PR, dashboard or query it came from.
Respect the runbook
Follow your escalation policy rather than improvising.
Write plain-language notes
No commit-speak in anything customer-facing.
Work with agents like co-workers
Mention an agent with @ in chat and it answers in the thread, showing its work step by step.
@Engineering Agent
“New issues labelled and assigned instantly” — running 4 steps…
Keep them running in the background
Schedules, inbox triggers and webhooks keep your agents working while you sleep.
Orchestrate multi-agent workflows
Agents hand tasks to sub-agents, so specialists stay focused and results stay consistent.
Share with your team
Roll out an agent with role-based access. Editors edit, viewers run, admins govern.
Watch them get smarter
Every interaction can be captured as a reusable skill and shared back to the workspace.
Ground every answer
Knowledge bases and connector data keep responses tied to your sources, not guesses.
Enterprise-grade infrastructure, from your first agent
Role-based access control
Reusable roles, shared credentials and scoped secrets per workspace.
AI model restrictions
Control which models teams can use and enforce spend policies.
Usage monitoring
Track credit usage in real time with budgets and quota controls.
Audit logging
Detailed trails of actions across the organisation, so you know where data flows.
Isolated integrations
Every user's connected accounts are isolated by row-level security.
Zero data retention
Your data is never used to train models, and retention is configurable.
Engineering questions, answered
Can it merge or deploy code?
Write actions are opt-in and gated behind approvals. Most teams start with read-only triage and notes.
Which model does it run on?
Pick per agent — fast, balanced or deep reasoning — and switch any time without rewriting anything.
Is our source code used for training?
No. Your data is never used to train models and retention is configurable.
Go further
Docs, API references and best practices for building production-ready agents.
Explore other solutions
Build your first engineering agent
Connect your tools, clone a template and let it get to work — in under ten minutes.