Practical articles on building AI-powered software — what to build, what to skip, and how to ship it.
The structural reasons AI prototypes fail to become products, the cheap habit that prevents each one, and how to tell when a rewrite is the right call.
Five early decisions that are costly to reverse: data model, third-party boundaries, auth and tenancy, observability, and how you deploy and roll back.
A fair framework for choosing between native, Flutter, React Native and a PWA in 2026, based on team skills, platform features, performance and upkeep.
Which MVP scope cuts genuinely shorten a build, which ones only postpone the cost, and a simple two-question method for deciding what to cut and keep.
A practical way to decide, capability by capability, whether to buy a finished product, build it yourself, or glue existing APIs and models together.
How to add AI features to a live mobile app: where the model runs, keeping API keys off the device, streaming, failure states, cost, privacy and rollout.
A realistic look at MVP timelines — what makes them slow, what makes them fast, and how to ship something credible in weeks rather than months.