Delivery Brain
==============

Augusta Labs × Diamant Software · 2026

An agentic teammate for an engineering org.

A client system built with three teammates in about two weeks. It watches Azure DevOps boards and pull requests, raises evidence-backed delivery risks, lets an LLM triage them, and hands approved work to AI coding agents.

I owned the deterministic side — the risk detectors and the Inngest workflows that queue their signals for triage, plus the review queue and screens — and the graph context the agents plan with: a Neo4j graph of the org and a Qdrant-indexed graph of the code, refreshed every 30 minutes and exposed as read-only Mastra tools.

How it works
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Detect & triage: Azure DevOps (work items · PRs) → risk detectors (12, deterministic) → Inngest (durable workflows) → LLM triage (create · merge · ask) → human review
Ground the agents: [org graph (Neo4j) | code graph (Qdrant · 7 repos)] → graph context API → agent tools (Mastra, read-only) → coding agent (plan → PR)

Outcomes
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- 12  deterministic delivery-risk detectors
- 7  repositories in the code graph
- 30 min  graph refresh cycle

Stack: TypeScript, Bun, Hono, Inngest, Mastra, Neo4j, Qdrant, Next.js

https://godnik.in/projects/delivery-brain