A Complete AI Engineering Team

Three specialized roles working together in your GitHub repo — handling everything from issue refinement to code review to merge.

Astra

Autonomous Product Ownership

Your AI product owner that turns vague ideas into clear, testable work.

  • Clarifies & rewrites issues with acceptance criteria
  • Detects missing requirements and contradictions
  • Manages and prioritizes your backlog
  • Coordinates workflow between team members
  • Posts updates to Slack and PRs
Kade

Autonomous Software Development

Claude-powered developer that implements features and fixes bugs.

  • Implements features on short-lived branches
  • Fixes bugs and performs refactors
  • Writes minimal, targeted tests
  • Opens PRs with clean change notes
  • Follows your codebase patterns and conventions
Orion

Automated Quality Assurance

OpenAI-powered QA that validates every change before it ships.

  • Reviews all PRs for quality and safety
  • Executes tests in your environment
  • Validates correctness against acceptance criteria
  • Guards against regressions
  • Merges approved PRs into astrakion/develop

Platform Capabilities

Beyond the core team, Astrakion includes powerful platform features.

Full Repository Onboarding

When you connect a repo, Astrakion analyzes and learns your codebase.

  • • Architecture & dependency analysis
  • • Documentation extraction
  • • Behavior mapping
  • • Wiki initialization
  • • Repo summary creation

Continuous Delivery Pipeline

Automated flow from development through QA to merge.

  • • DEV → QA → MERGE automated workflow
  • • Auto-pausing when humans submit PRs
  • • Auto-resuming when tokens recover
  • • Error handling for provider issues

Documentation Upkeep

Keep your documentation current without manual effort.

  • • Architecture summaries
  • • Behavior memory
  • • Technical changelogs
  • • Coverage insights
  • • Estimation history

Engineering Metrics

Track your AI team's performance and delivery metrics.

  • • Lead time, cycle time, throughput
  • • Failure/blocked time tracking
  • • Slack standup feed
  • • Workflow telemetry

Business-Facing Services

All the work types your AI team can handle.

Feature Development

Small + medium features, utilities, endpoints, UI changes

Bug Fixing

Logic errors, broken flows, missing conditions

Refactoring & Cleanup

Modernization, pattern alignment, simplification

Test Execution

Running tests, regression detection, flaky test identification

Documentation Work

Architecture docs, behavior descriptions, changelogs

Repo Analysis

Reverse engineering, dependency maps, high-risk areas

Backlog Management

Acceptance criteria creation, priority ordering, refinement

Human Code Integration

Reviewing human PRs, syncing branches, maintaining AI lane

Parallel AI Branch

Safe isolated iteration, zero-risk prototyping

Multi-Repo Support

Multiple repos, parallel backlogs, enterprise workflows

How the Workflow Works

A structured pipeline that mirrors real engineering teams.

1

Issue Created

You label an issue for Astrakion

2

Astra Refines

PO clarifies requirements

3

Kade Builds

Dev implements & opens PR

4

Orion Tests

QA validates & runs tests

5

Merged

Code ships to develop

Ready to automate your engineering workflow?

Choose a Tier Meet the Team