Articles

Three TypeScript frameworks for three different positions on the spectrum

Three popular Go web frameworks compared on performance, DX, and ecosystem

Three approaches to TypeScript database access, which fits your project

Comparing two Heroku-style platforms, pricing, developer experience, and limits

Comparing an opinionated framework to a fast, schema-first one, plus a third option

Comparing the two most common Node.js backend frameworks, and a third option worth knowing

Two approaches to TypeScript ORMs compared, and when to skip the ORM layer

Two lightweight TypeScript frameworks compared, and what to use when you need more

Comparing Bun-native and infrastructure-aware TypeScript frameworks

One database with a vector extension, or two databases each doing one thing well?

When your Postgres can already do vector search, do you need a dedicated service?

Lightweight routing versus a full backend development platform

Express-inspired performance versus infrastructure-from-code

Two approaches to building Go backends, compared side by side

Comparing Go's most popular web framework with an infrastructure-from-code approach

Comparing two approaches to end-to-end type safety

Comparing edge-first and infrastructure-aware TypeScript frameworks

Comparing schema-validated vs infrastructure-aware TypeScript frameworks

Comparing enterprise-grade Node.js frameworks for building backends

Comparing the most popular Node.js framework with a modern alternative

Schemas, resolvers, code-first vs schema-first, and what actually ships

Redis-backed caching with automatic provisioning and type safety

Tool-calling endpoints, conversation storage, and async processing

How to use Neon's serverless PostgreSQL with modern TypeScript backends

Embed documents, store vectors in pgvector, search by meaning, and generate answers with an LLM

From zero to PostgreSQL with automatic provisioning

A practical guide to building distributed systems with type-safe service communication

A practical guide to building type-safe APIs with modern Go tooling

From zero to PostgreSQL with automatic provisioning

Secure your endpoints with JWT, sessions, or API keys

A practical guide to building distributed systems that don't fall apart

Schedule recurring tasks in your backend without external services

A practical guide to building type-safe APIs with modern tooling

Measured token spend across Encore, Express, Fastify, Hono, and NestJS when Claude Code builds the same realistic backend project.

Encore came in at $6.29 of token spend across three benchmark runs. NestJS came in at $12.69 for the same work with fewer passing tests.

We benchmarked Claude Code on five TypeScript backends. Cursor uses the same models, so the framework ranking and the numbers behind it port over directly.

We benchmarked Claude Code on five TypeScript backend frameworks. Only one shipped production-ready code on the first pass, and only one had a CLAUDE.md and MCP server in the box.

Five frameworks, the same coding agent, the same tests, and a 36-check production-readiness rubric. Which framework ships code an AI agent can build production-ready in one pass?

Hono ran cheapest in our AI-readiness benchmark and collapsed worst when the test suite started probing for production-readiness.

Fastify was the closest non-Encore result in our AI-readiness benchmark, and reaching that result still cost about twice as many tokens.

Claude Code on NestJS cost about twice as many tokens as the same agent on Encore, and shipped fewer working production-readiness checks.

What Claude Code shipped when we gave it the same backend tasks on Express and on Encore.

Evaluating NestJS, Encore, Moleculer, Fastify, and Hono for distributed systems

Patterns, communication, deployment, and avoiding distributed-monolith mistakes

Where to deploy when Vercel's pricing, limits, or scope stop fitting

What to use when CloudFormation limits and construct abstractions get in the way

How to organize modules, services, and shared code so the codebase scales

JWT, Passport strategies, guards, and how to wire it all together

Transports, patterns, deployment, and when a simpler approach makes sense

What to use when you've outgrown Google's BaaS

What to use when you need more infrastructure control than a shared platform

What to use when you've outgrown shared platform infrastructure

What to use now that SST is in maintenance mode

TypeScript backend frameworks for when you need more than Bun performance

What to use when you want infrastructure without separate config programs

What to use when HCL and state files aren't working for your team

What to use when you've outgrown Backend-as-a-Service

What to use when you want more control over your infrastructure

Understanding Anthropic's protocol for connecting AI models to tools and data

Understanding asynchronous messaging patterns for backend systems

A practical guide to choosing a Node.js framework for your backend

Go HTTP routers and frameworks beyond chi

Modern TypeScript frameworks for teams moving beyond Express

TypeScript backend frameworks beyond JSON Schema validation

TypeScript backend frameworks that skip the boilerplate

What to use when you need more than an edge-first framework

A practical comparison of pgvector, Pinecone, Qdrant, Weaviate, Milvus, Chroma, and LanceDB

Which frameworks produce the best results when AI writes the code

From the standard library to full-featured frameworks

A practical guide to choosing the right framework for your project