AI agents shouldn’t become CAPTCHA solvers: discover how monetisation-driven UX patterns have turned the web into a hostile environment and what honest design can do to reverse the trend.
Why do engineering teams keep rewriting frontends? Let’s explore the leadership bias and tech churn that makes refactors feel harder—yet ultimately more sustainable.
Lynx could revolutionize cross-platform mobile development with its unique approach and performance benefits. Is it time to switch from React Native or Flutter?
Should SaaS founders buy or build their MVP? We compare pre-built apps vs custom development across cost, time, scalability, and code quality — so you can choose the right foundation for your product.
Discover how branded types can improve your TypeScript code quality, make your intent clearer, and catch bugs before they even compile.
Building desktop apps with NativePHP misuses Laravel’s core strengths, creating potential security risks and practical limitations.
Many SaaS startups over-engineer their architecture with microservices. Here's why that's usually a costly mistake—and what to do instead.
A great product roadmap balances business goals with technical sustainability. Ignoring engineering input leads to technical debt and bottlenecks that slow growth. In this video, we discuss how SaaS teams can integrate engineering priorities into the roadmap for long-term success.
Selecting the right tech stack is critical for AI startups. Python is essential for data science, but the backend, frontend, and infrastructure choices determine scalability and efficiency. Explore the best tech stack combinations, hosting tools, and ETL solutions to future-proof your AI startup.