
From the team
Insights on AI and engineering.
AI engineering · Nov 2026
Context engineering beyond basic RAG
A vector store is not a context strategy. Chunking, hybrid search, reranking, and retrieval evaluation decide what the model is allowed to see.
Rearway team ·
AI engineering · Nov 2026
Tool selection in LangGraph agents: patterns that hold up in production
Graphs, routers, allowlists, and human interrupts. How we keep an agent on the tools it is supposed to use.
Rearway team ·
AI engineering · Nov 2026
When to fine-tune vs. prompt vs. RAG
A decision frame: instructions, documents, or a behaviour the base model will not hold. Evaluation comes before training.
Rearway team ·
AI engineering · Nov 2026
Deploying LLMs on AWS without the bill surprise
Autoscaling inference, caching, and separating batch from online traffic. Cost control is part of the serving design.
Rearway team ·
Product Deep Dive · Apr 2026
How Tandoor AI Helps Restaurants Retain Customers via WhatsApp
Discover how AI-powered customer engagement through WhatsApp is transforming restaurant loyalty — automating replies, upselling combos, and identifying repeat customers without a single app download.
Al Ameen K H · 5 min read
Software Architecture · Feb 2026
Building Future-Proof Software with Clean Architecture
An architectural approach that has helped me build scalable, maintainable, and future-proof applications by decoupling core logic from implementation details.
Al Ameen K H · 8 min read
Engineering · Dec 2025
Building AI Products, Not AI Features — Our Engineering Philosophy
Most companies bolt AI onto existing products. We architect with AI from day one. Here's how our AI-native approach delivers fundamentally different results for clients.
Nihad · 4 min read
Case Study · Nov 2025
From Zero to App Store — How We Ship Mobile Apps for Global Clients
A behind-the-scenes look at our process for taking mobile apps from concept to live on Play Store and App Store — with real examples from Proppz, DealBuddy, and Wizad.
Shamsuddeen · 6 min read
Engineering · May 2026
How We Build RAG at Rearway: From Basic Retrieval to Contextual Hybrid Search
Every RAG implementation we build is specific to the problem it's solving. Here's a breakdown of our architecture, from classic RAG to Contextual Hybrid Search.
Shamsuddeen K S · 5 min read
