Ruby on Rails Upgrade Services: How Nextware Systems Modernizes Legacy Rails Applications Without Breaking Production
Is Your Ruby on Rails Application Falling Behind?
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Hotwire in Practice: Turbo Frames vs Turbo Streams
When to reach for a Turbo Frame, when to broadcast a Turbo Stream, and how to keep a Hotwire app fast and debuggable.
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Scaling a Rails Monolith Without Microservices
Rails monoliths scale further than the internet admits. Service objects, good indexes, and background jobs get you remarkably far.
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Choosing a Vector Database for AI Search
pgvector, Pinecone, Qdrant, Weaviate — how to pick a vector store based on scale, filtering needs, and operational appetite.
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Building Reliable AI Workflows with LangChain
LangChain helps compose LLM steps, tools, and memory. Where it helps, where it gets in the way, and how to keep chains debuggable.
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Server Components in Next.js 15: A Practical Mental Model
RSC changes where code runs. A working mental model for fetching, the client boundary, and shipping less JavaScript.
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Subdomain and Multi-Tenant Routing in Next.js
Serving different apps or tenants by hostname — middleware rewrites, local development with .localhost, and production DNS.
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TypeScript Patterns That Actually Pay Off
Discriminated unions, branded types, and inference-friendly APIs — the handful of TS patterns worth the extra keystrokes.
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Zod and Runtime Validation at the Edges of Your App
Types vanish at runtime. Validate untrusted input with Zod at the boundary and infer your types from the schema.
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ISR and Caching Strategies in the Next.js App Router
Static, dynamic, and incremental — choosing a rendering strategy per route, and using revalidate and tags effectively.
Read moreAI Coding Assistants: Getting Real Value from Pair Programming with LLMs
AI assistants speed up the right tasks and slow down the wrong ones. How senior engineers actually use them well.
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MCP Explained: The Model Context Protocol for Tool-Using AI
MCP standardises how AI apps connect to tools and data sources. Why a common protocol matters and how servers and clients fit together.
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RAG Done Right: Retrieval-Augmented Generation in Production
Naive RAG is easy; good RAG is mostly retrieval engineering. Chunking, hybrid search, reranking, and evaluation that actually moves quality.
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Agentic AI: From Chatbots to Autonomous Workflows
Agents turn a language model into a system that plans, calls tools, and acts. What actually makes an agent reliable in production.
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Deploying with Docker and Kamal on a Plain VPS
Containerize once and deploy anywhere you can SSH. Kamal brings zero-downtime deploys and TLS to a cheap server.
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Background Jobs in Rails 8 with Solid Queue
Solid Queue brings durable, database-backed jobs to Rails by default. Setup, recurring tasks, and when you still want Sidekiq.
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Rails 8 Is Here: The No-PaaS Default Stack Explained
Rails 8 ships with Kamal 2, Solid Queue, Solid Cache and Propshaft, making a database-only, deploy-anywhere stack the default. Here is what changes.
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