What MCP is, and when your product needs one
More of your customers' work now runs through AI assistants. MCP is the standard way to let those assistants use your product.
Notes from the studio on planning, building and launching apps.
More of your customers' work now runs through AI assistants. MCP is the standard way to let those assistants use your product.
AI can make an app genuinely more useful. It works best when the first feature is narrow and the failure cases are planned for.
Cloud bills rarely jump because of one big decision. They creep up, one forgotten resource at a time.
A penetration test is only as useful as its scope. A few days of preparation get you a much better report.
New operating systems arrive every year. A little planning keeps them from becoming emergencies.
Security questionnaires arrive just as a deal gets serious. A little preparation turns a week of work into an afternoon.
A first release on Google Play involves more forms than most teams expect. None of them are hard if you start early.
Bigger customers ask for a SOC 2 report sooner than most teams expect. Readiness is mostly about writing down what you already do, then doing it consistently.
A beta is the cheapest place to find out what confuses people. It only works if you ask the right questions.
A first release is where most review problems surface, and most of them come from a short, predictable list.
Both approaches ship good apps. The right one depends on the product, the team and what happens after launch.
A first version should do one thing well. The hard part is deciding what waits.
Most app projects that stall were in trouble before the first line of code. These five questions catch it early.
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