How teams use Shipwright AI
From writing the first line of code to scaling to millions of users, explore the specific workflows that Shipwright AI accelerates for modern engineering teams.
AI-Assisted Development
From requirements to working code in minutes.
Shipwright AI doesn't just write boilerplate. By maintaining a deep semantic graph of your entire codebase, it acts as a senior pair programmer that understands your architecture, naming conventions, and business logic.
- Generate complex, multi-file features from a single prompt.
- Automatically write comprehensive unit and integration tests.
- Refactor legacy code with architectural awareness.
- Translate natural language requirements into exact code implementations.
Automated Deployment Pipelines
Push to production with absolute confidence.
Remove the fragility from your deployments. Shipwright AI automatically analyzes your project structure to generate optimal, secure, and fast CI/CD pipelines that deploy your code reliably every single time.
- Zero-config pipelines for Next.js, Node.js, Python, and Go.
- Automatic creation of ephemeral preview environments for pull requests.
- Built-in deployment approval gates and rollback mechanisms.
- Native integration with GitHub Actions and AWS CodePipeline.
Infrastructure Management
Cloud resources without the complexity.
Managing AWS doesn't have to require a dedicated DevOps team. Describe the architecture you need, and Shipwright AI will provision secure, scalable infrastructure using industry-standard Infrastructure-as-Code.
- Visual infrastructure designer backed by Terraform/CloudFormation.
- Automated VPC, security group, and IAM role configuration.
- Database provisioning with automated backups and read replicas.
- Continuous monitoring for infrastructure drift and security misconfigurations.
Operational Visibility
Know exactly what is happening across your stack.
Stop bouncing between five different dashboards to debug an error. We unify your application logs, infrastructure metrics, and deployment events into a single, cohesive timeline.
- Centralized log aggregation with AI-powered anomaly detection.
- Real-time application health metrics and automated alerting.
- Deployment correlation (see exactly which PR caused a spike in errors).
- Cost visibility and optimization recommendations.
Have a custom use case?
Our platform is built to be extensible, and we're recruiting design partners to help us support complex, custom engineering workflows.
Talk to our Engineering Team