Product perspectives and deep technical write-ups from the engineers building CodeHaste.
Three changes that mattered more than the framework we were using.
The metrics that actually predict whether your RAG system will hold up in production.
Most Core Web Vitals advice targets marketing sites — enterprise web apps have a different bottleneck.
A decision framework based on team size, not vendor marketing.
How we bake WCAG compliance into component libraries instead of retrofitting it.
A decision framework based on what the app actually needs to do, not which framework has the loudest fans.
Three ways to make an LLM know about your business, and how to tell which one actually fits your problem.
Team topology decides this more often than technical requirements do.
Running on two clouds isn't the same thing as being resilient, portable, or negotiating from strength — here's what actually gets you those things.
The gap between a working prototype and a production LLM feature is almost never the model.
The riskiest part of most legacy modernization projects is the plan to replace everything at once.
The three most common data pipeline mistakes we see, and the architecture that avoids them.
Compliance requirements don't have to mean slower deployments — they just require the pipeline to prove more of its work.
Headless solves a real problem for some teams and creates one for others — here's how to tell which side you're on.
Most analytics dashboards get built and then quietly ignored — here's what makes the difference.
Most "AI agent" pitches skip the part where something can actually go wrong.
The patterns that keep Terraform maintainable once more than one person is touching it.
Offline-first isn't a caching layer bolted onto an online-first app — it's a different starting assumption.
The migration itself is rarely where a cloud migration budget actually goes over.
Most failed transformation programs didn't pick the wrong technology — they picked the wrong order.
A WCAG-compliant interface and a genuinely usable one aren't automatically the same thing.
Bad data doesn't usually show up as an error — it shows up as a wrong decision nobody traces back to its source.
A message queue is a coordination tool, not an upgrade — here's how to tell if your problem actually needs one.
Most API breakage isn't caused by a bad change — it's caused by not knowing who's still calling the old shape.
Most "platform engineering" adoption is a rebrand. The version that actually changes anything looks different.
The productivity gain is real and narrower than the pitch — and the review debt it creates is easy to miss until it isn't.
The decision usually gets framed as cost versus control. The variable that actually predicts regret is neither.
Every point-to-point connection feels like the fast option in the moment it's built — the cost shows up later, and it compounds.