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
- Backends
How should you plan a migration off Railway?
Ben SabicContent Engineer - Containers
4 Railway alternatives for web apps, APIs, and workers
Ben SabicContent Engineer - Build with AI
5 ways to add long-term memory to an AI agent
Anshuman BhardwajContent Engineer - Build with AI
What is a durable AI agent?
Anshuman BhardwajContent Engineer - Build with AI
Short-term vs. long-term memory for AI agents: what's the difference?
Anshuman BhardwajContent Engineer - Build with AI
6 kinds of agents that need a persistent workspace
Anshuman BhardwajContent Engineer - Backends
Where should you host a Python API?
Ben SabicContent Engineer - Backends
6 types of backend workloads and where each one runs best
Ben SabicContent Engineer - Backends
Queues vs. workflows: when should you use each?
Ben SabicContent Engineer - Backends
7 Python backend use cases for Next.js
Ben SabicContent Engineer - Backends
How to connect a Python AI agent to a Next.js app
Ben SabicContent Engineer - Enterprise Apps and Agents
How do you govern AI apps and agents built by employees?
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