The technical choices made early decide whether a project scales or stalls. These guides break down stack selection, architecture trade-offs, and build-vs-buy decisions in plain language, so you can commit with confidence.
19 guides in this topic
How to set up Drizzle ORM with PostgreSQL from scratch — schema definition, migrations, query patterns, connection pooling, and the configuration decisions that matter in production Next.js applications.
A technical guide to database indexes: B-tree internals, composite index column ordering, covering indexes, partial indexes, the write cost of over-indexing, EXPLAIN ANALYZE interpretation, and the common indexing mistakes that degrade production performance.
A deep dive into the three-part JWT structure, how signatures are generated and verified, stateless vs stateful auth, token expiry and refresh patterns, and the security mistakes that get production systems compromised.
A technical guide to message queues: the producer-consumer pattern, message acknowledgement, at-least-once vs exactly-once delivery, dead letter queues, when queues solve real problems vs when they add unnecessary complexity, and how to choose between Redis, SQS, and Kafka.
A technical guide to webhooks: the push vs pull model, HMAC-SHA256 signature verification, idempotency, the 5xx retry problem, delivery ordering guarantees, and how to build a reliable webhook handler that doesn't process events twice.
The two main approaches to multi-tenancy in SaaS products — row-level security and schema-per-tenant — with an honest comparison of when each makes sense, performance characteristics, migration costs, and the decision framework senior teams actually use.
A practical guide to implementing Stripe billing in a SaaS product — covering subscription models, metered usage, free trials, dunning, proration, and the specific edge cases that break billing implementations and cause revenue leakage.
How to structure a Next.js monorepo using Turborepo — workspace setup, shared packages, TypeScript configuration, CI caching, and the decisions that matter when the repo scales beyond one team.
How to configure TypeScript for fast builds and responsive IDE feedback — incremental compilation, tsconfig tuning, decoupling type checking from transpilation, and project references for monorepos.
A clear-eyed guide for SaaS founders deciding whether — and when — to pursue SOC 2 certification. What it costs, how long it takes, and the question you have to answer honestly before you start.
A practical framework for founders and engineering leads deciding whether to split their monolith — the three real signals that it's time, the signs it's too early, and the distributed systems complexity you'll be taking on if you do.
A practical guide for SaaS founders who've been told they need a penetration test — what's actually involved, when it's worth the investment, how to read the results, and what to do with them.
A detailed comparison of Medusa, Shopify (Hydrogen), and Saleor for headless e-commerce — features, pricing, flexibility, and which platform fits different business types.
A practical comparison of PostgreSQL and MySQL — features, performance, use cases, and when each database is the right choice. Written by a team that uses PostgreSQL for everything (and will tell you when MySQL is better).
A practical comparison of Prisma, Drizzle ORM, and TypeORM — developer experience, performance, type safety, migration tools, and which ORM fits different project types in the Node.js/TypeScript ecosystem.
An honest comparison of React, Vue, and Angular — performance, ecosystem, hiring, learning curve, and which framework makes sense for different types of projects. No tribalism, just trade-offs.
An honest comparison of REST and GraphQL APIs — performance, complexity, tooling, and the practical reality that most projects work fine with either. Here's how to choose without overthinking it.
A detailed comparison of Supabase and Firebase — database, authentication, real-time features, pricing, vendor lock-in, and which backend-as-a-service makes sense for different project types.
A practical comparison of deployment platforms — Vercel, AWS, Railway, Fly.io, and others. Cost, complexity, scalability, and when each platform is the right choice.
Stack choices, architecture trade-offs, build-vs-buy — a 30-minute call with senior engineers can save you months. No sales pitch, just a straight answer.
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