Founder, AI, SaaS, and engineering thinking: practical posts on building things that actually ship.
How I used Gemma 4 and WebGPU to run a private, offline AI assistant entirely in the browser: no API keys, no server, no cloud costs.
Behind the scenes of building api-forge: what Claude Code skills are, how the /backend skill prompt is structured, the design decisions behind the 3-layer architecture, and how to build your own skill.
Step-by-step tutorial: scaffold a complete Express + TypeScript API using the api-forge /backend skill in Claude Code. Covers setup, architecture, validation, error handling, and adding resources.
api-forge is a Claude Code skill that scaffolds production-grade Express + TypeScript APIs in minutes. One command. No boilerplate. No forgotten patterns.
Build a production REST API with Node.js and TypeScript — typed routes, Zod validation, error middleware, and patterns that prevent runtime failures.
UUID v4 vs v7, GUID vs UUID, and when to use UUIDs over auto-increment IDs — with crypto.randomUUID() examples for Node.js and the browser.
A technical co-founder is not just a developer with equity. The traits that matter are not the ones most founders screen for — and the mismatches that destroy startups are predictable.
Dev agency contracts look standard until something goes wrong. Seven questions that reveal who actually works on your project, who owns the code, and how scope gets handled when reality meets the proposal.
Hiring your first developer is one of the highest-stakes decisions a non-technical founder makes. Here is how to evaluate candidates, spot red flags, and structure the engagement — without writing a line of code.
Pricing AI features wrong is the fastest way to destroy your SaaS margins. Per-seat vs usage-based vs token passthrough — the real math and the model that protects you.
Technical debt is not a developer problem — it is a business problem. What it actually costs, when to pay it down, and how to talk about it with your team and your board.
Every founder faces the build vs buy decision. Most get it wrong by building what they should buy and buying what they should build. Here is the framework that stops the waste.
Validating an AI product idea? Here's exactly what a 5-day MVP sprint looks like — features, scope, stack, and realistic cost expectations.
Add AI to your existing product without a rewrite. A guide for founders on integration points, build vs. buy, and shipping AI features safely.
Wrong hiring decision at early stage kills runway. When to hire a freelance AI engineer, use an agency, or build an in-house team.
Math.random() is predictable — use Node.js crypto.randomBytes, crypto.randomInt, and crypto.randomUUID for safe tokens, IDs, and passwords.
Your AI product architecture will make or break scalability. How to design an AI SaaS system that scales without a full rewrite.
Type OpenAI and Vertex AI responses in Node.js — use TypeScript with Zod to catch shape mismatches and prevent runtime failures in production AI apps.
Most AI features fail not because of the model — but because of poor problem definition. Here's what product-minded builders do differently.
OWASP-aligned password security for web developers — hashing, storage, reset flows, timing attacks, and the mistakes that leave your users vulnerable.
Hash passwords in Node.js with bcryptjs: cost factor, timing attack prevention, async patterns, and OWASP 2026 recommendations.
Deploy a Node.js + Vertex AI app to Cloud Run — Dockerfile, authentication, Artifact Registry, and continuous deployment step by step.
A practical guide to building autonomous AI agents with LangChain.js in Node.js — tools, agent executors, memory, and real working code examples.
Prompt engineering for production LLM apps — system prompts, temperature, context injection, few-shot examples, and structured output validation.
Chroma vs Pinecone vs pgvector — setup, query speed, scalability, and 2026 pricing for production RAG pipelines. Which vector database should you pick?
AI costs out of control? Cut OpenAI and Gemini API spend with model selection, caching, prompt optimization, and batching — without degrading user experience.
Most devs give the 3-step answer. The full version — DNS, TCP, TLS, load balancers, app servers, databases — with the depth that gets you hired.
The junior dev job market isn't broken — it's a filter. What junior developers must do to be in the 2 that stay, get hired, and build real careers.
Most developers are experts at HOW to build — but WHY and WHAT to build are where real product thinking lives. A Design Sprint changed how I see this gap.
Monitor LLM apps in production — track latency, token usage, error rates, and hallucinations with practical tools and observability strategies.
OpenAI vs Vertex AI — cost, reliability, model quality, and OpenAI-compatible endpoints on Vertex. Which platform wins for SaaS in 2026?
Set up @google-cloud/vertexai in Node.js — authentication, getGenerativeModel, generateContent, streaming responses, and production patterns.
A practical guide to building Retrieval Augmented Generation (RAG) pipelines using JavaScript, LangChain.js, and OpenAI — with working Node.js code examples.
How to integrate Google Cloud AI and Vertex AI into a Node.js app — authentication, API setup, Cloud Run deployment, and production patterns for 2026.
JavaScript vs TypeScript: advantages, disadvantages, and when to use each — a practical guide for web developers choosing between the two.