Latest engineering dispatches — practical deep dives on architecture, performance, and tooling.
A practical walkthrough of NocoBase's Workflow plugin: the four key concepts (workflow, trigger, node, execution), the three trigger types, and how nodes form event-driven automation.
A practical deployment guide for running Windmill on your own infrastructure using Docker Compose, covering the server-worker-Postgres architecture, the bundled Caddy stack, and VPS sizing.
A pragmatic guide to choosing a Creative Commons or Open Data Commons license for a first Hugging Face dataset, grounded in EU publisher rights and attribution conventions.
A focused comparison of Caveman's in-band prompt discipline and Headroom's out-of-band local compression proxy, framed around where each tool intervenes in the agent-to-provider pipeline.
A pragmatic case for hiring 1099 contractors before W-2 employees when bootstrapping a SaaS, with guidance on which roles to externalize first and a TinyPilot case study.
An operational comparison of recursive, semantic, section-aware, and late chunking for RAG ingestion, with guidance on which method fits which document type.
A practical buyer's guide that compares Caveman variants against external alternatives, helping readers pick a compressed-output skill based on workflow, model, and stack rather than headline token-savings numbers.
Why pure vector search misses exact product codes and names, and how to assemble the three-stage production baseline: parallel BM25 and dense candidate generation, Reciprocal Rank Fusion to merge the ranked lists, and a cross-encoder reranker for final ordering — implemented with Qdrant and Cohere.
How to move PocketBase beyond standalone mode: embedding it as a Go library with custom hooks, routes, and migrations — plus why JavaScript handlers can't see variables declared outside their scope.
A layer-by-layer breakdown of the tools a solo SaaS founder actually pays for in 2026 — Toggl, Linear, daily.dev, SwipeGrowth, trial tracking, and the AI stack — with itemized monthly costs and free-tier-first upgrade rules.
Shipping one RAG deployment to many organizations forces a hard question: one shared Qdrant collection with tenant filters, or a separate collection per customer? This guide compares both isolation strategies, explains how Qdrant's filterable HNSW keeps tenant data fast and separated, and maps how…
Ragas doesn't just write questions — it builds a knowledge graph from your documents and then evolves simple prompts into reasoning, conditioning, and multi-context challenges. Here is what the generator LLM, the critic LLM, and the embedding model are actually doing inside testset generation, and…