Building AI Applications That Actually Solve Problems
AI is only useful when it solves a real user or business problem.
Read ↗Practical thoughts on building, fixing and improving websites, applications, AI products and digital systems.
AI can accelerate development, but the resulting application still needs architecture, testing, security, performance and maintainability.
Read Insight ↗AI is only useful when it solves a real user or business problem.
Read ↗A practical way to investigate applications generated or accelerated using AI tools.
Read ↗Why generated code still needs engineering judgement and review.
Read ↗Understanding when a React-based frontend makes sense and when it doesn't.
Read ↗Component architecture can improve consistency, maintenance and development speed.
Read ↗Separating content and presentation can unlock flexibility, but it isn't always the right choice.
Read ↗A polished interface still needs to solve the user's actual problem.
Read ↗Turning vague requirements into something developers and users can actually work with.
Read ↗Product interfaces need to support workflows, not just look good in a design file.
Read ↗A look at the common technical causes behind slow websites.
Read ↗Accessibility is part of product quality, not something to add at the end.
Read ↗Not every old piece of code needs to be rewritten. Knowing what matters is critical.
Read ↗Tell us what you're trying to build, fix or improve.
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