Latest engineering dispatches — practical deep dives on architecture, performance, and tooling.
A mid-2026 cost-benefit breakdown comparing self-hosted Coolify to Vercel, Render, DigitalOcean App Platform, and Fly.io — including the workloads where the cloud still beats self-hosting.
A deployment-and-scale-driven comparison of Qdrant, Pinecone, Weaviate, Milvus, and Redis for production RAG, with a decision framework for teams choosing at the selection stage.
A blueprint for orchestrating multiple LLM agents — Diversity, Privacy, QA Curation, expert deliberation, reasoning models, and label-targeted generation — to build custom synthetic QA evaluation sets for RAG systems.
A walkthrough of a self-hosted CI/CD pipeline where GitHub Actions builds the Docker image, calls Coolify's deploy API, and runs a two-phase polling loop so failures surface in CI rather than disappearing silently.
A reproducible LlamaIndex pipeline that sweeps chunk sizes against latency, faithfulness, and relevancy using GPT-4 as an LLM judge, so RAG teams can ship chunk configurations backed by evidence.
A practical look at how Apache Arrow's zero-copy, memory-mapped storage lets Hugging Face Datasets handle multi-GB datasets on ordinary laptops, and when to choose Dataset over IterableDataset.
A guided tour of Coolify's internals — SSH-based Docker deploys, the Sentinel metrics agent, dynamic Traefik routing, the upgrade script, and the Laravel/Fastify/SvelteKit codebase.
A practical guide to choosing between Keras preprocessing layers and tf.image-based augmentation, and between offline pre-generation and online on-the-fly execution, based on dataset size, compute budget, and reproducibility requirements.
A diagnostic guide that maps three recurring failures of system prompts — conflicting signals, attention scarcity, and state erosion — to the structural fixes that resolve each one.
A practitioner's guide to using a knowledge graph as durable agent memory, with Graphiti's EntityNode and episode pipeline as the concrete read/write loop.
A practical breakdown of Milvus standalone's three containers — etcd, MinIO, and Milvus — including their internal roles, Compose wiring, and the scaling path that comes before Kubernetes.
A side-by-side comparison of Caveman output compression, provider prompt caching, and tiered model routing — with concrete per-million-token math and a recommended stack order.
A practical breakdown of the n8n AI Starter Kit's five Docker services, how n8n orchestrates while MCP processes AI tasks, and how to pick a hosting environment from laptop to datacenter.
A head-to-head comparison of Coolify and Dokploy across orchestration (plain Docker vs Docker Swarm), control plane (Laravel vs Next.js), and Traefik editability.