We ship full-stack AI applications that go from zero to production — seamless front-end, robust back-end, scalable APIs, and ongoing performance tuning. All paired with DevOps-mindset, so your product works when users need it most.
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Cloud-ready AI applications
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Scalable infrastructure & APIs
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Front-end & user experience build-out
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Ongoing monitoring & optimization

At Devin.no, Full-Stack & Deployment is more than just “making it work” — it’s about making it work reliably, scalably, and without friction. Once your AI product design, model, or strategy is ready, we bridge it into production with infrastructure that can grow, front-end experiences that feel polished, and monitoring that catches issues before they become crises.
What that means practically:
Building the infrastructure backbone: serverless or containerized deployments, API design, cloud setup, security, etc.
Beyond backend: building front-ends / user experiences that align with your users’ expectations and product goals. Responsive, performant, intuitive.
Deployment that scales: we design APIs and systems so that they handle load, latency, failures gracefully. Infrastructure as code, CI/CD pipelines, etc.
Performance, monitoring & iteration: once things are live, we don’t just “set and forget.” We instrument, track errors and usage, optimize for speed and cost, iterating where needed.
We know launching is only the start — good infrastructure and deployment setup reduces technical debt, avoids downtime, and keeps you agile when it’s time to expand or pivot.
Cloud architecture plan: choosing provider(s), infrastructure type (containers, serverless, hybrid), region, scaling strategy
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API & backend buildout: REST / GraphQL / other endpoints, data models, integrations, authentication / authorization where relevant
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Front-end UX / UI buildout: responsive designs, performance-tuned interfaces, polish consistent with design system
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CI/CD / DevOps setup: automated builds, deployments, staging/production workflows, rollback strategies, secrets management
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Monitoring & observability: logging, metrics, health checks, alerting, error tracking
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Performance optimization: load testing, latency profiling, cost analysis (compute, storage, bandwidth)
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Security & compliance considerations: basic security hardening, data protection, secure communication, permissions, etc.
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Deployment & Handoff package: deployment scripts or IaC templates, configuration files, environment variable management, documentation for operation & future scaling
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