Product
Why teams keep choosing Postgres for everything
Postgres has absorbed the roles of Redis, Elasticsearch, and Pinecone through extensions. The interesting question is what specialty databases still earn their keep.
Category
Engineering, design, and the technical decisions that shape what you ship. Build-versus-buy, internal tools, and product tradeoffs from people doing the work.
25 articles
Product
Postgres has absorbed the roles of Redis, Elasticsearch, and Pinecone through extensions. The interesting question is what specialty databases still earn their keep.
Product
Modern cars show what unchecked data collection becomes: a liability that costs trust, money, and control. Treat privacy as a product feature, not an afterthought.
Product
AI token spend behaves like cloud spend, not a SaaS subscription. The fix is rationalizing usage by value, setting budgets, and building cost sensors into the workflow.
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Vibe coding accelerates prototypes and quietly accumulates security and maintainability debt. The fix is not more willpower but sensors built into the workflow.
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Public design systems converged on primitive, semantic, and component tokens. What they still argue about, and what a team without a design-systems staff should copy.
Product
Retool, ToolJet, Appsmith, or custom: the admin-panel decision is mostly about how much your team's time costs and how strange your data is.
Product
Coding agents are net-positive on greenfield velocity and net-negative on legacy maintainability. The scaffolding around the agent decides which one you get.
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Why Amazon Prime Video, Shopify, and GitHub reversed microservices decisions, and what the modular monolith actually means.
Product
Auth0's Okta-era pricing has permanently shifted the auth provider calculation. Here is how the options stack up in 2026.
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How Auth0, Algolia, and Stripe pricing changes and technical lock-in can cost startups months of engineering time and 15x price hikes.
Product
How small vendor choices made in week one compound into expensive migrations by year three, and a pre-commitment checklist to avoid the trap.
Product
A practical account of building an internal CRM at a small team. What worked, what we would throw away, and the math that actually decided it.