THE TECNOSTACK BLOG
Practical guides to AI, web and mobile development, e-commerce, cloud and software decisions for teams in Saudi Arabia and the GCC, in Arabic and English.
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Add an LLM to a legacy system in controlled stages: inventory touchpoints and data owners, pilot a read-only feature, run it in shadow mode, widen a routed rollout with rollback ready, and add write-back last.
Choose between prompt engineering, RAG and fine-tuning by diagnosing why answers fail: unclear instructions, missing knowledge or a consistent behavior problem. Then apply the smallest change that fixes the measured failure.
Enterprise RAG searches your own documents when a question arrives and gives the most relevant passages to a language model as context. Built well, it checks permissions before the model sees anything, cites what it used and declines when nothing it may use supports an answer.
Hydrogen builds a custom storefront on Shopify's commerce backend; Medusa gives your team commerce building blocks with managed or self-hosted deployment. Decide who owns each layer, then test local payments, refunds and e-invoicing before you commit.
Most business processes do not need a fully autonomous AI agent. This playbook helps CTOs decide when model-directed autonomy is justified, how to bound it with tool permissions and human approval, and which outcomes to measure before scaling.
AI can speed up the drafting work around a design system, from token documentation to variant matrices and scaffold code. The tokens, components, accessibility decisions and Arabic/RTL review still need an owner on your team. Here is where to draw that line.
