July 11, 2026·6 min read

Adding AI Features to a Next.js App: What Actually Works in Production

Practical patterns for shipping LLM-powered features in a Next.js application: API route proxies, streaming, cost control, and graceful failure.

AINext.jsNode.js

July 11, 2026·7 min read

RAG for Full Stack Developers: A Practical Introduction

What retrieval-augmented generation actually is, when you need it, and how to build a first version with PostgreSQL and pgvector, without a new database.

AIRAGPostgreSQL

July 11, 2026·5 min read

When You Do Not Need AI: Choosing Between an LLM and Plain Code

A pragmatic checklist for deciding whether a feature needs a language model, deterministic code, or a hybrid of both.

AIArchitectureEngineering

July 11, 2026·6 min read

Streaming LLM Responses in Next.js: From Spinner to First Token

How to stream model output through a Next.js route handler to the browser: ReadableStream on the server, incremental rendering on the client, and the abort and error states people forget.

AINext.jsUX

July 11, 2026·5 min read

Getting Reliable JSON out of an LLM

Prompting for JSON is not a parsing strategy. Schema validation, one smart retry, and tool-based output turn a probabilistic model into something your TypeScript code can trust.

AITypeScriptReliability

July 11, 2026·5 min read

Prompts Are Code: Versioning, Structure, and Testing

Prompts that live in string literals rot fast. Treating them as versioned, structured, tested artifacts is what keeps LLM features maintainable after launch.

AIPrompt EngineeringEngineering

July 11, 2026·6 min read

Building a Support Assistant on Your Own Docs

The architecture behind a chatbot that answers from your documentation and admits what it does not know: retrieval, guardrails, citations, and the metric that actually matters.

AIRAGChatbots

July 11, 2026·5 min read

LLM Cost Control: Caching Strategies That Actually Cut the Bill

Token bills grow with usage, and unlike servers you cannot right-size them after the fact. Exact-match caching, provider prompt caching, and honest measurement, in that order.

AIPerformanceCost

July 11, 2026·6 min read

Shipping with Claude Code and Codex Without Shipping Slop

AI coding tools are a real multiplier, and an equally real way to fill a codebase with unreviewed mediocrity. The habits that keep the speed and skip the mess.

AIClaude CodeDeveloper Tools

July 11, 2026·5 min read

Choosing the Right Model Tier: Stop Defaulting to the Flagship

Most AI features do not need the biggest model. Matching tasks to model tiers, with routing and fallback, cuts cost and latency without a visible quality drop.

AIArchitectureCost