The Engineering Notebook — page 16 of 32
Notes on building with AI, agents & the modern stack.
Deep dives on AI/ML, RAG systems, agent engineering, and senior-engineer architecture decisions — a new post every week.
AI and Machine Learning pgvector vs Pinecone 2026: Which Vector DB Should You Actually Use?
pgvector wins for teams already on Postgres who want simplicity and cost control; Pinecone wins for production AI apps that need managed, millisecond-scale vector search at massive scale. Your infrastructure context is the deciding factor.
AI and Machine Learning Milvus vs Qdrant 2026: Which Vector DB Wins for Production RAG?
Qdrant wins for lean, fast RAG deployments where simplicity and filtering speed matter most; Milvus wins for large-scale enterprise workloads demanding billion-vector search and deep ecosystem integrations. Your stack size and ops maturity should make this an easy call.
AI and Machine Learning Pydantic AI vs LangChain 2026: Type-Safe or Flexible — Which Wins?
Pydantic AI wins for production teams that need type-safe, validated LLM outputs with minimal abstraction overhead; LangChain wins for rapid prototyping and broad ecosystem coverage. Your choice hinges on whether you value strictness or speed-to-market.
AI and Machine Learning Pinecone vs Weaviate 2026: Which Vector DB Actually Wins?
Pinecone wins for teams that need zero-ops managed infrastructure and fast time-to-production. Weaviate wins for teams that want open-source flexibility, hybrid search, and full data sovereignty.
AI and Machine Learning Apple M4 Max vs M5 Max for Local AI in 2026: Which Wins?
The M5 Max wins for serious local AI workloads in 2026, offering ~40% more neural engine throughput and a larger memory ceiling. The M4 Max remains the smart buy for budget-conscious developers who don't need cutting-edge inference speed.
AI and Machine Learning Mac Studio M4 Max vs RTX 4090 PC: Best Local AI Rig in 2026?
The Mac Studio M4 Max wins for plug-and-play local LLM work with massive unified memory; the RTX 4090 PC wins for raw CUDA throughput and flexibility. Your budget, workflow, and model size determine which is worth every dollar.
AI and Machine Learning Raspberry Pi 5 vs Jetson Orin Nano 2026: Which Edge AI Board Wins?
The Jetson Orin Nano wins for serious edge AI workloads with its dedicated GPU and CUDA ecosystem, while the Raspberry Pi 5 wins for cost-sensitive prototyping, general computing, and hobbyist projects. Neither is universally better — it depends entirely on whether you need inferencing horsepower or affordability.
Developer Tools Text Generation WebUI vs Ollama 2026: Which Local LLM Tool Wins?
Ollama wins for developers who want a fast, CLI-first runtime with clean API integration; Text Generation WebUI wins for researchers and power users who need deep model control and a browser-based interface. Your choice hinges on whether you optimize for simplicity or configurability.
Developer Tools vLLM vs Ollama 2026: Production Power or Developer Ease?
vLLM wins for high-throughput production deployments where every token/second counts; Ollama wins for local developer workflows where setup speed and portability matter most. Pick wrong and you'll either over-engineer a side project or under-power a real API.
Developer Tools Ollama vs llama.cpp 2026: Which Local LLM Tool Actually Wins?
Ollama wins for developers who want a fast, polished setup with REST APIs and model management. llama.cpp wins for power users squeezing every last token of performance from their hardware.
AI and Machine Learning LangChain vs LlamaIndex 2026: Which LLM Framework Should You Pick?
LangChain wins for building complex, multi-step AI agents and conversational workflows; LlamaIndex wins for production-grade RAG pipelines and data-heavy retrieval systems. Choose based on whether your app is agent-first or retrieval-first.
AI and Machine Learning RTX 5090 vs RTX 4090 for AI in 2026: Which GPU Actually Wins?
The RTX 5090 wins for bleeding-edge AI training and large model inference, but the RTX 4090 remains the smarter buy for most local AI workloads in 2026. Here's exactly when each GPU earns its place.