Backends
7 Python backend use cases for Next.js
See when a Python backend adds value to a Next.js app, with examples for AI, data analysis, document processing, predictions, and existing applications.
Ben SabicContent Engineer
Articles
Technical articles on building and shipping applications and agents
Featured articles
- Enterprise Apps and Agents
Using decision models in enterprise apps
Use decision models in enterprise apps to classify requests and suggest routes, with trusted business rules, human review, and an AI SDK code example.
Ben SabicContent Engineer - Decision models
5 things you can build with AI Gateway's Decision API
Build five tools with AI Gateway's Decision API using Luna, Microsoft Decision-1, Jev, Liquid d1, and Laya, with runnable code examples.
Ben SabicContent Engineer
All articles
- Build with AI
8 open source coding agents for production workflows
Ben SabicContent Engineer - Build with AI
What does it take to run computer-use agents in production?
Ben SabicContent Engineer - Build with AI
When should agents use browser or desktop automation?
Ben SabicContent Engineer - Build with AI
What is computer use?
Ben SabicContent Engineer - Backends
Where should you host background workers?
Ben SabicContent Engineer - Backends
DigitalOcean App Platform alternatives: Which fits your app?
Ben SabicContent Engineer - Backends
Where should you deploy instead of AWS App Runner?
Ben SabicContent Engineer - Backends
4 Northflank alternatives for deploying apps and workers
Ben SabicContent Engineer - General
Use Claude API credits with Vercel AI Gateway
Ben SabicContent Engineer - General
Use ChatGPT API credits with Vercel AI Gateway
Ben SabicContent Engineer - Backends
How do you migrate a Docker app from a VPS?
Ben SabicContent Engineer - Backends
4 Fly.io alternatives for web apps and workers
Ben SabicContent Engineer
All topics
Explore articles by topic across the index.
- AI GatewayRate limiting and monitoring for AI APIs
- AI ObservabilityTrace tokens, latency, and model cost
- AI SDKFramework for building AI applications
- BackendsBuild and run backends for modern applications. Explore practical guides to APIs, Python, background jobs, and durable workflows, with advice on choosing compute, connecting your frontend, and deploying services that fit your application's needs on Vercel.
- Build with AILearn about agentic development
- CDNGlobal network with instant caching
- Chat SDKOpen-source SDK for building chatbots
- Coding AgentsWorking with Codex, Claude Code, and more
- ContainersDocker Containers on Vercel
- Decision modelsClassify, route, and score with decision models and APIs.
- DomainsBuy, transfer, and manage domains
- EngineeringSystem design, databases, and architecture
- Enterprise Apps and AgentsExplore how enterprises develop, deploy, and govern internal apps and AI agents. Learn about citizen development, shadow AI, access controls, and agent auditing, with practical guidance for turning employee-built tools into supported business applications.
- Feature FlagsShip and roll back without redeploying
- FrameworksDeploy any framework with zero configuration
- Next.jsFull-stack framework for AI app UIs
- Preview DeploymentsTest changes before production
- RetailLearn about building and deploying e-commerce apps at scale.
- SecuritySecurity
- Skew ProtectionPrevent stale content serving
- TurborepoHigh-performance build system for monorepos
- v0Updates about our AI-powered product, v0.
- Vercel DropDeploy to Vercel without Git
- Vercel FirewallProtect against malicious traffic
- Vercel FunctionsServerless functions for logic
- Vercel PluginGive coding agents real Vercel expertise
- Vercel QueuesVercel Queues
- Vercel SandboxIsolated execution environment for code
- Vercel WorkflowAutomation and orchestration platform
- WebSocketsRealtime connections on Vercel
