Articles
Technical write-ups, product case studies, and practical lessons from building AI-powered software, digital catalogs, and automation tooling.
LangGraph in 2026: building production AI agents as state machines, not chatbots
Why graph-based orchestration won the production agent argument, how LangGraph models agents as cyclic state machines, and the architectural decisions that matter when you put one in front of real users.
Reactify Solutions
Engineering Team
13 min read
Model Context Protocol in 2026: building production AI integrations on a real standard
How MCP turned the N×M integration problem into N+M, what the protocol actually looks like under the hood, and the patterns we use to ship MCP servers that survive enterprise security reviews.
Reactify Solutions
Engineering Team
14 min read
How we built Quicktalog: OCR and GPT for turning paper menus into digital catalogs in 30 seconds
A technical walkthrough of how we combined Tesseract OCR with OpenAI to let small businesses digitize a printed menu in under a minute, and what we learned along the way.
Reactify Solutions
Engineering Team
8 min read
Building unbg: how we run AI background removal 100% in the browser
Why we built unbg with ONNX Runtime Web and WebAssembly instead of a server, what we learned about running neural networks client-side, and why it changes the privacy story for image tools.
Reactify Solutions
Engineering Team
7 min read
Building production RAG systems with Next.js, LangChain, and the Vercel AI SDK
A practical architecture for shipping RAG-powered features in Next.js. Ingestion with LangChain, retrieval with pgvector, streaming with the Vercel AI SDK, and the tradeoffs that actually matter.
Reactify Solutions
Engineering Team
12 min read
End-to-end analytics with Microsoft Fabric: Lakehouse to Power BI in one workspace
A practical walkthrough of building a production analytics pipeline in Microsoft Fabric. Ingestion, Lakehouse, Dataflow Gen2, semantic model, Direct Lake Power BI, and the decisions that save you from rebuilding it in a year.
Reactify Solutions
Data Engineering Team
11 min read
The Next.js SEO checklist for 2026: what actually matters
An opinionated, practical SEO checklist for Next.js apps. Skip the 200-item audits. This is the 10% of work that delivers 90% of the results for modern sites.
Reactify Solutions
Engineering Team
10 min read
Building production AI agents with tool use: patterns that actually work
Tool selection, retry and timeout strategy, evaluation, and the guardrails that keep an agent from falling over in production. A practical architecture built from real client work.
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Engineering Team
10 min read
A quick introduction to building apps with React Native
A practical intro for React developers who want to ship a mobile app without learning Swift or Kotlin. Expo setup, component differences, navigation, native APIs, and shipping to the stores.
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Mobile Engineering Team
9 min read
Ditch the SaaS stack: PostgreSQL is the only backend you need for Next.js apps
Postgres has grown extensions that cover almost every common backend need. Vector search, scheduling, full-text search, queues, realtime, auth. This is how to collapse your stack down to one database.
Reactify Solutions
Engineering Team
13 min read
Shipping installable PWAs with Next.js 16: the 2026 guide
What it takes to ship a real, installable PWA on Next.js 16 today. Manifest, icons, service worker, push notifications, and the iOS quirks that trip teams up. With Quicktalog as the worked example.
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Engineering Team
10 min read
Cutting OpenAI API costs: caching, batching, and model routing in production
Three techniques that have reliably cut our OpenAI costs by 40% to 70% in production, without degrading output quality. Real patterns from running AI features at scale on Quicktalog and client work.
Reactify Solutions
Engineering Team
11 min read