The Engineering Notebook — page 10 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.
Developer Tools Redis vs DragonflyDB 2026: Which Cache Actually Wins?
I'd pick Redis for teams that need a battle-tested ecosystem and broad client support; I'd pick DragonflyDB if you're hitting Redis's single-threaded ceiling and want 25× throughput on the same hardware without a rewrite.
AI and Machine Learning Python vs TypeScript for AI in 2026: Which Should You Build With?
I'd pick Python for any serious LLM pipeline or ML workload in 2026 — the ecosystem gap is still too wide to ignore. TypeScript wins the moment your AI feature lives inside a full-stack product and your team is already shipping Node.
Developer Tools Zed vs Cursor 2026: Performance-First or AI-First Editor?
I'd pick Zed if raw speed and a distraction-free environment are non-negotiable, and Cursor if AI pair-programming is genuinely your daily workflow. The fault line isn't features — it's whether you want the editor to get out of your way or get in your loop.
Frontend and Mobile Next.js App Router vs Pages Router 2026: Which Should You Use?
I'd pick the App Router for any greenfield production app in 2026 — its RSC model cuts client JS meaningfully. I'd stick with Pages Router only if I'm maintaining 50k+ lines of existing code and can't justify a migration sprint.
Developer Tools WSL2 vs Native Linux 2026: Which Dev Environment Wins?
I'd pick WSL2 for Windows-first teams shipping to Linux servers, and Native Linux for anyone running GPU workloads, containers at scale, or needing bare-metal latency. The fault line isn't ideology — it's kernel access and how much your toolchain fights Windows.
Developer Tools GitHub Copilot vs Claude Code 2026: Which AI Coding Tool Wins?
I'd pick GitHub Copilot for large enterprise teams already in the Microsoft ecosystem, and Claude Code for solo engineers or small startups who need deep reasoning on complex, multi-file refactors. Here's exactly where the fault line sits in 2026.
AI and Machine Learning Claude API vs OpenAI API 2026: Pricing, Limits & Dev Experience
I'd pick Claude API for long-context reasoning and complex coding tasks, and OpenAI API for ecosystem depth and multimodal production pipelines. Here's the exact fault line I hit running both in parallel for six months on a real SaaS codebase.
Developer Tools SQLite vs PostgreSQL 2026: Which DB Wins for App Backends?
I'd pick SQLite for single-server apps under ~10k daily active users and PostgreSQL the moment you need concurrent writes, multi-node deployments, or a team larger than one. The fault line isn't size — it's concurrency and operational complexity.
AI and Machine Learning Groq vs Together AI 2026: Which Inference API Is Actually Faster?
I'd pick Groq when raw token throughput is the make-or-break metric — it's still the fastest hosted inference I've tested at under $1/M tokens for Llama 3. I'd pick Together AI when model variety, fine-tuning, or multimodal pipelines matter more than milliseconds.
Technology AI Voice Detector: Detect AI Audio & Speech [2026]
62% of organizations faced a deepfake attack last year. Here's how AI voice detectors actually work, 5 tools compared with accuracy benchmarks, and manual detection techniques for spotting synthetic speech.
Cybersecurity The Complete Guide to AI Security in 2026
AI and LLM security in 2026 spans prompt injection, supply chain attacks, agent control flow vulnerabilities, and model misuse. This complete guide maps every major threat vector and links to 26 in-depth breakdowns so you can defend your AI systems today.
AI and Machine Learning The Complete Guide to AI Hardware in 2026
A complete 2026 guide to AI hardware — covering GPUs, Apple Silicon, edge devices, CPUs, and the semiconductor supply chain — so you can choose the right setup for running local LLMs and AI workloads without wasting money.