Portfolio

Case study: ReleasePilot

Release and incident control center for safer software delivery.

Architecture flow

Release ──► Risk score ──► Preflight ──► Deploy
   │                                    │
   └──────────── Verify ◄────────────────┘
                │
         Monitor / incident path
                │
    Status updates ◄──► Postmortem

Overview

ReleasePilot is a portfolio-grade demonstration of the control layer around shipping software: risk scoring, checklists, simulated deployment state machines, rollback readiness, incident linkage, structured communications, and postmortems.

Problem

Hiring managers and senior peers need evidence that a developer understands what happens after code merges: production risk, verification, operational communication, and recovery — not only feature delivery.

Why this is not CRUD

The product is built around state machines, deterministic simulation, and scoring logic. Lists and forms exist only as operational surfaces, not as the core value proposition.

Solution

A single command center ties releases to deployment runs, audit timelines, incident records, template-generated status updates, and postmortem structure — with honest labeling of what is simulated.

Release risk scoring

Weighted factors (environment, migrations, auth/billing surfaces, module count, rollback readiness, checklist gaps, history, coverage, blast radius) produce a 0–100 score with recommended actions. The logic is real; the inputs are seeded.

Deployment state machine

Transitions are pure functions: queue → preflight → deploy steps → verify → monitor → (optional) warning and rollback path. The hero scenario exercises rollback recommendation and incident creation in audit logs.

Incident and rollback workflow

Incidents reference releases; rollback actions emit audit events; postmortems reuse the same domain model for credible operational narratives.

Auditability

Every meaningful transition can append structured audit events with actor, severity, and linkage to release or incident identifiers — suited to a future persistent store.

Real vs demo

Real in repo	Demo / simulated
Domain model, risk engine, state machine	No live deploys or CI/CD hooks
Audit helpers, templates, tests	No monitoring APIs or database
Session UX	Optional localStorage only

Future integrations

GitHub Actions and deployment hooks
Vercel deployment status
Sentry / Datadog signals
Slack / Teams alerting
Linear / Jira change tickets
Postgres persistence and feature flag providers

What this demonstrates

Lead-level thinking about safe delivery: risk, verification, rollback, communication under pressure, and learning from incidents — expressed as a cohesive product UX.

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