From our engineering blog
Practical perspectives on AI, cloud, and building software that lasts — written by the Ruswix Lab team.
Building Production-Ready RAG Systems That Actually Scale
Retrieval-augmented generation is easy to demo and hard to productionize. We break down chunking strategies, embedding choices, evaluation, and the guardrails that keep answers grounded.
From Chatbots to Agents: Designing Systems That Take Action
Autonomous agents can plan, call tools, and complete multi-step tasks. Here's how we architect reliable agentic workflows with the right balance of autonomy and human oversight.
Cutting Cloud Costs Without Cutting Corners
Right-sizing, autoscaling, spot instances, and a FinOps culture can shrink your bill by 30–50%. A practical playbook for sustainable cloud spend on AWS and Azure.
Shipping an MVP That Won't Need a Rewrite
Speed and scalability aren't opposites. The architecture decisions that keep an early-stage product fast to build today and ready to grow tomorrow.
How We Use AI Internally to Ship Faster
AI isn't just something we build for clients — it's how we work. A look at how AI-assisted development, code review, and testing accelerate our delivery without sacrificing quality.
Microservices vs. Monolith: Choosing What Fits
The architecture debate has no universal winner. A framework for deciding based on team size, domain complexity, and your real scaling needs — not hype.