SMRTR summary
A new guide demonstrates how to build a Retrieval-Augmented Generation (RAG) AI agent using TypeScript and the Langbase SDK. The tutorial covers creating AI memory, uploading documents, performing RAG retrieval, and generating responses with LLMs, enabling developers to create more accurate and context-aware AI systems.
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
Read the original articleThis archive is built from SMRTR newsletter stories. Subscribe for hand-picked stories without the extra noise.
When choosing between WebSockets and SSE for real-time apps, event ordering matters more than speed. WebSockets preserve causal order naturally; SSE requires extra complexity to...
Add Markdown content negotiation to your site so AI agents skip HTML bloat and read your content directly, saving tokens and latency.
TypePHP is a new AOT compiler that turns PHP into native machine code via C++, written entirely in self-hosting PHP.
Registering CSS custom properties with @property changes when and where their values are computed, with surprising effects on sibling-index(), relative units, and URLs.
AI agents are flipping software development: code is no longer the source of truth — runtime behavior and verified outcomes are.
Filter GitHub's full incident history by service and severity to get a reliability picture that actually matches your stack.