An orchestrated team of specialist agents — Orchestrator, Developer, QA, and Deploy — that picks up tickets, writes production-ready code, runs tests, and ships. With full logs, token cost tracking, and configurable QA approval.
Your dev team is drowning in feature requests, bug fixes, and internal tools. Every sprint ends with more tickets than it started with.
You can't hire fast enough, contractors are expensive and slow, and your senior engineers are buried in routine work instead of building the product. The backlog grows every week, stakeholders are frustrated, and you're stuck choosing which features to delay.
We deploy a team of four specialist agents coordinated by an orchestration layer. The Orchestrator watches your issue trackers around the clock, routes work to the Developer Agent, hands off to the QA Agent for testing and review, then the Deploy Agent ships it and updates your board — all automatically.
Every task is tracked: what was built, which agents ran, how long it took, and exactly what it cost in model tokens. You get the output of a full development team with the visibility of a dashboard.
Four specialist agents working in sequence — from ticket discovery to production deployment.
Monitors tickets 24/7 · triages · routes
Developer Agent
Reads codebase · writes code · opens PR
QA Agent
Runs tests · code review · auto or manual gate
Deploy Agent
Merges · CI/CD · updates board · logs cost
Run fully autonomous or keep a human in the loop — configure per repo or per ticket type.
QA Agent runs all tests. If everything passes and no issues are flagged, the PR merges and deploys automatically — zero human steps.
Best for: internal tools, non-critical services, high-trust codebases
QA Agent reviews and prepares the PR, but a human must click approve before anything merges. Full control stays with your team.
Best for: production features, regulated environments, critical systems
Switch modes per-repo or per-ticket-label. No code changes required.
From ticket discovery to deployed code — each agent hands off to the next.
The Orchestrator polls your issue trackers (GitHub Issues, Jira, Linear) 24/7. New tickets are automatically ingested, labeled, and queued — no one has to press a button.
The Orchestrator reads each ticket, checks for dependencies and blockers, estimates complexity, and assigns the task to the Developer Agent with a clear brief.
The Developer Agent reads your entire codebase, understands your architecture and coding patterns, then writes production-ready code with tests and documentation.
The QA Agent runs your full test suite, performs static analysis, and creates a pull request with a detailed review. Configure as auto-approve (merge if tests pass) or manual gate (your team clicks approve).
The Deploy Agent merges and triggers your CI/CD pipeline. The board ticket moves to Done, time is tracked, token cost is logged, and a deployment summary is posted.
Full orchestration, observability, and controls — set up in 3–5 weeks.
A central coordinator that monitors all your issue trackers, prioritizes work, and routes tasks — no manual assignment needed.
Scans GitHub Issues, Jira, Linear, or custom forms automatically. New tickets are picked up and queued without any human trigger.
End-to-end code generation with proper documentation, error handling, and test coverage following your existing patterns.
Automated commits, branches, and pull requests following your team's branching strategy (GitHub, GitLab, or Bitbucket).
Set QA to auto-approve when tests pass, or require a human to click approve before anything merges. Switch modes anytime.
Tickets move through your Kanban or Jira board automatically as agents work — from To Do to In Progress to Ready for Review to Done.
Every agent action logs its model calls and token usage. See exactly what each feature cost to build, in real time.
Full timestamped logs of every agent decision, code change, test result, and deployment event. Full auditability.
Inline comments, README updates, and API docs generated alongside every code change — automatically.
Submit via Jira, GitHub Issues, Linear, or a simple form. The orchestrator picks up requests and asks clarifying questions if needed.
Unit, integration, and regression tests written and run by the QA Agent for every feature and bug fix before merge.
Once approved, changes merge and deploy through your existing CI/CD pipeline — zero manual steps.
The teams that see the fastest payback from an AI coding team.
If your dev team has months of requests piling up and you can't hire fast enough, the agent team clears the queue continuously.
Ship MVPs, iterate on features, and build internal tools without burning through your engineering budget or hiring timeline.
Free your senior engineers to focus on architecture and complex problems while the agent team handles routine features and bug fixes.
How one home services company cleared 80% of their dev backlog in 5 weeks.
6-month backlog of internal tool requests. 2-person dev team drowning in maintenance tickets. New features taking 3–4x longer than estimated.
Solution
Deployed an AI coding agent to handle feature requests, bug fixes, and documentation — integrated with their GitHub repo and Jira board.
Results
“We had a 6-month backlog of internal tool requests. Aurograil's coding agent team cleared 80% of it in 5 weeks — features shipped, documented, and merged. My dev team finally focuses on the product instead of internal tickets.”
Marcus C.
Home Services CEO
One-time investment · Deployed in 3–5 weeks
Everything Included
QA approval, token costs, code quality, security, and how it fits your existing workflow.
30 minutes. No pitch. We audit your operations and tell you exactly where to start.