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Three workflows. Every handoff visible.

From an engineering issue to a draft PR, private coding-agent coaching, and a custom workflow built around your tools.

Moonwind hero film 11
Monochrome editorial image of a traced technical workflow
Illustrative workflows, not customer results. Each example includes its current product stage.

Inputs, actions, handoffs. Nothing hidden.

Open each workflow to see the problem it addresses, the product stage, and where human review remains part of the system.

Issue-driven bug triage

Northstar Build early access. A team wants agents to help with repeatable bug investigation without giving up review control.

A Linear, Jira, or GitHub issue enters a configured queue. Northstar Build prepares a contained workspace, injects workflow guidance, runs the selected agent runtime, waits at approval gates, and prepares PR handoff metadata.

Private AI skills coaching

BuilderGraph in development. An engineer wants to improve how they use Claude Code, Codex CLI, or Cursor without uploading raw work data.

BuilderGraph Local scans AI coding sessions on-device, extracts privacy-preserving signals, identifies prompt and verification patterns, and turns them into skill scores, growth recommendations, and local reports.

Custom agent workflow design

Deployment model available. A team wants agent workflows connected to its own tools, issue trackers, repositories, and approval policies.

Moonwind defines the workflow shape, tool boundaries, approval steps, operational metrics and implementation path, then connects the system to Moonwind products where useful.

A trace you can inspect.

These are patterns to inspect, not customer results to imitate. The real design work begins with your systems, authority model and review policy.

A useful workflow keeps its decisions, owners and evidence connected from the first request to the outcome.
  1. 01Request
  2. 02System context
  3. 03AI work
  4. 04Policy check
  5. 05Human approval
  6. 06Action
  7. 07Execution trace

Bring us the next workflow.

We will map the tools, owners, review points, and failure modes before recommending a product or build.