Agents that ship the toil, not the risk
Your engineers lose hours every day to triage, flaky CI, review queues, and stale docs. We deploy agents that handle that work inside your SDLC — gated by the same branch protections, tests, and approvals your humans live by.
- Issue triage & PR review
- CI/CD repair & flaky-test hunting
- Incident response copilots
- Inside your VPC and Git platform
Engineering velocity dies in the gaps between the code
The bottleneck is rarely typing speed.
Most engineering orgs don't have a coding problem — they have a coordination problem. Pull requests sit in review for days. CI goes red for reasons no one has time to chase. Incidents wake the wrong person at 3am because the runbook is three Confluence pages out of date. Onboarding docs describe a service that was refactored two quarters ago.
None of this is the interesting work, and all of it is governed by real constraints: SOC 2 change-management evidence, branch protection, required reviewers, signed commits, separation of duties between who writes and who deploys. You can't just point a model at the repo and let it merge. The whole point of your SDLC is that nothing reaches production without passing through the gates.
So we build agents that live inside those gates. They behave like disciplined contributors — open branches, draft PRs, attach evidence, request human review — and they are constitutionally incapable of skipping a step you've defined. The result is faster flow without surrendering the controls your auditors and your on-call rotation depend on.
Where agents take work off your team
Each one slots into your existing pipeline and respects the same permissions your engineers do.
Issue triage & routing
Agents label, deduplicate, reproduce, and route incoming issues — attaching stack traces, suspected owners, and a first-pass severity before a human ever opens the ticket.
Automated code review
A reviewer agent flags logic bugs, security smells, and convention drift on every PR, leaving inline comments your engineers accept or dismiss. It never approves its own merges.
CI/CD repair
When the build breaks, an agent bisects the failure, quarantines flaky tests, and opens a fix PR — turning a red pipeline into a reviewable diff instead of a Slack fire drill.
Incident response copilot
On page, the agent correlates alerts, pulls the relevant runbook, proposes a mitigation, and drafts the postmortem timeline — with the human commander always in control of the call.
Living documentation
Agents keep architecture docs, API references, and onboarding guides in sync with the code they describe, grounded in your actual repo so they don't hallucinate endpoints.
Dependency & security hygiene
Routine upgrade PRs, CVE remediation, and license checks handled continuously, each change gated by your full test and scan suite before it reaches a reviewer.
Every change runs the gauntlet
An agent's output is a proposal until your pipeline and a human say otherwise.
Scoped
The agent gets a least-privilege token: read where it needs context, write only to feature branches. It cannot touch protected branches or secrets.
Proposed
Work lands as a draft PR with a clear summary, the reasoning, and links to the issue or alert that triggered it — never a direct push to main.
Verified
Build, lint, type-check, tests, and security scans all run. A failing gate blocks the PR. The pipeline, not the model, is the source of truth.
Approved
Required reviewers and CODEOWNERS sign off and merge. Every step is logged as change-management evidence for SOC 2 and your auditors.
Your source never leaves your perimeter
Source code is your most sensitive asset, and most coding-assistant demos quietly stream it to someone else's cloud to train someone else's model. We don't operate that way.
Every agent runs inside your environment — your VPC, your GitHub Enterprise or self-hosted GitLab, your own model endpoints. For teams with strict IP or export-control policies, we deploy fully air-gapped with self-hosted open-weight models. Prompts, diffs, and repo context stay yours, and every agent action is captured in an immutable audit trail.
- Runs in your VPC or on-prem
- Native GitHub Enterprise / self-hosted GitLab
- No code used for third-party training
- Immutable, exportable audit log
A coding copilot vs. an engineering agent
Autocomplete helps one developer type. An agent closes a unit of work across your pipeline.
| An IDE copilot | An Automatic.co agent | |
|---|---|---|
| Scope | Suggests the next line in your editor | Triages, fixes, reviews, and opens a PR end to end |
| Trigger | You, while typing | A new issue, a red build, or a page — autonomously |
| Context | The open file | The whole repo, CI logs, runbooks, and ticket history |
| Oversight | Implicit — you accept the text | Branch protection, required reviewers, full audit trail |
| Evidence | None | Change-management record for every action |
Frequently asked questions
Do agents push code without review?
No. Agents open branches and pull requests like any contributor — they never bypass branch protection, required reviewers, or CODEOWNERS. A human approves and merges. The agent does the toil; your engineers keep the keys.
How do you keep our source code private?
We deploy inside your perimeter — your VPC, your GitHub Enterprise or self-hosted GitLab, your own model endpoints. Code and prompts never train a third-party model, and you can run fully air-gapped with self-hosted weights if your IP policy requires it.
Won't this just generate plausible-looking but broken code?
Every change an agent proposes has to pass your existing gates — build, lint, type-check, the full test suite, and security scans — before it can reach a reviewer. If CI is red, the PR doesn't ship. The pipeline is the judge, not the model.
How do we measure whether it's actually helping?
We instrument against DORA metrics and your own SDLC data: lead time for changes, PR cycle time, review latency, change-failure rate, and escaped defects. You see exactly which agents move which numbers, and we tune or retire the ones that don't.
Explore related deployments
Where else our agents take governed work off the team.
Pick the workflow that's slowing your team down
Bring your noisiest CI pipeline or your deepest review queue. We'll map the agent that fixes it — and show you exactly how it stays inside your gates.