Your AI Development Team
Six specialized agents. One autonomous pipeline. From issue to pull request — without human intervention.
An Architect plans. A Lead Developer codes. Two independent reviewers catch bugs and vulnerabilities. A QA Engineer writes tests. A DevOps Engineer ships the PR. All orchestrated through durable workflows with dual-voice consensus review.
A complete development pipeline, automated
Every stage of the software development lifecycle — from architecture to deployment — executed by specialized AI agents through a durable workflow.
Plan
Approval GateArchitect
Analyzes requirements, identifies affected files, creates a scoped implementation plan with risk assessment.
Implement
Lead Developer
Writes clean, production-quality code following existing patterns and conventions from the codebase.
Code Review
ParallelCode Reviewer
Independent quality review — logic errors, patterns, readability, edge cases, and performance.
Security Audit
ParallelSecurity Auditor
Independent security review — OWASP top 10, injection, auth flaws, data exposure, crypto weaknesses.
Findings merged into CONFIRMED / DISAGREE / NEEDS_REVIEW verdicts across 6 quality dimensions
Test
QA Engineer
Writes and runs tests — happy paths, edge cases, and regression suites for all changes.
Ship
Approval GateDevOps Engineer
Creates the pull request, verifies CI passes, and assigns to the original requester for human review.
Meet the team
Six specialized agents, each with distinct expertise, system prompts, and capabilities. They collaborate through a structured pipeline — just like a real engineering team.
Architect
Engineering
Analyzes requirements, scopes affected files, creates implementation plans with risk assessments, and identifies dependencies across the codebase.
Lead Developer
Engineering
Implements the Architect's plan with clean, production-quality code. Follows existing patterns, writes idiomatic code, and handles edge cases.
Code Reviewer
Engineering
Independent code quality review focused on correctness, patterns, readability, edge cases, and performance. Part of the dual-voice consensus system.
Security Auditor
Security
Independent security review targeting OWASP top 10, injection flaws, auth issues, data exposure, and cryptographic weaknesses.
QA Engineer
Quality
Writes and executes comprehensive test suites covering happy paths, edge cases, boundary values, and regression scenarios.
DevOps Engineer
Infrastructure
Creates the pull request, verifies CI/CD passes, checks deployment readiness, and assigns the PR for human review.
Two reviewers. Zero blind spots.
Inspired by real-world code review best practices — two independent AI reviewers evaluate every change in parallel, then findings are merged into a consensus verdict.
Independent Review
Code Reviewer and Security Auditor run in parallel with isolated conversations. Neither sees the other's findings.
Consensus Merge
After both complete, findings are classified across 6 quality dimensions and merged into CONFIRMED, DISAGREE, or NEEDS_REVIEW verdicts.
Pipeline Decision
GO continues the pipeline. NO_GO halts on critical findings. CONDITIONAL proceeds with warnings for human review.
Example Consensus Table
Issue to PR. Unbroken.
A continuous, autonomous chain from the moment an issue is detected to a pull request assigned for human review. No manual steps, no dropped handoffs.
Chain Flow
Issue Detected
Overseer, Sentry, or manual creation triggers the chain
Ticket Created
AUTOHigh-priority issues auto-convert to actionable tickets
Task Dispatched
AUTODev team workflow attached, dispatched to task runner
Pipeline Executes
AUTO6 agents collaborate: Plan → Code → Review → Test → Ship
PR Created
AUTOPull request auto-created with branch, changes, and summary
Review Assigned
AUTOOriginal requester notified — ready for human review and merge
Notification Points
Event Bus (Redis Streams)
pipeline.issue_to_ticketpipeline.task_dispatchedpipeline.step.startedpipeline.step.completedpipeline.task_completedpipeline.review_assignedBuilt for real-world development
Every design decision optimized for reliability, transparency, and autonomous operation.
Pipeline Architecture
Durable Workflows
Pipeline state persists across failures. Resume from any step without losing progress.
Parallel Execution
Steps sharing the same order value run simultaneously via Promise.all().
Isolated Review Conversations
Parallel reviewers get fresh conversation clones — no information leakage between agents.
Context Handoff
Each agent receives relevant outputs from prior steps via the stepOutputs Map.
Approval Gates
Pipeline pauses at Architect plan and DevOps ship stages for human approval.
Auto-Halt on Critical Findings
Pipeline stops when consensus returns NO_GO — critical issues require human resolution.
Automation & Integration
Zero-Touch Ticket Conversion
HIGH/CRITICAL issues from Overseer or Sentry auto-convert to tickets and tasks.
Auto PR Creation
DevOps agent creates the PR via GitHub API with branch, changes, and summary.
Auto Reviewer Assignment
PR assigned to the original requester stored in task.context.requestedBy.
Full Notification Coverage
In-app, push, and email notifications at every pipeline step. No silent failures.
Agent-Specific System Prompts
Each agent has a tuned persona with distinct expertise, review criteria, and response formats.
No Schema Migration Required
Dev team agents use the existing Agent model with metadata.devTeamRole — zero database changes.
Ready to deploy your AI dev team?
Add all six agents to any project in one click. The pipeline handles planning, coding, reviewing, testing, and shipping — autonomously.