When starting a new product , there is always a difficult question: how much should you build from the start? On one side, there is the MVP philosophy . Build only what you need, get it in front of customers, learn from their feedback and improve from there. Don’t spend months solving scalability problems for a product that might never have a scalability problem. Don’t automate processes before you even know whether those processes are the right ones. And don’t build a perfect architecture around requirements that will probably change anyway. On the other side, there is an equally convincing argument. If you already know something will eventually need to be automated , why build it manually first? If you know you will need APIs, scalability, proper monitoring and high availability, why postpone them? Doing the work twice is rarely cheaper than doing it properly once. Even worse, changing something later can become very difficult once customers are using it and depend on t...
Over the past decade, application security has changed dramatically. Yet the biggest shift is not that software has suddenly become less secure . The real change is that discovering vulnerabilities has become much easier , while fixing and distributing those fixes has become significantly harder . For software vendors, the bottleneck is no longer finding security issues. It is maintaining secure software throughout the entire lifecycle of a product. Not that long ago, finding vulnerabilities was largely a manual exercise. Internal penetration tests, customer security assessments and occasional code reviews uncovered issues that developers would then address before the next release. Today, vulnerability discovery is continuous and increasingly automated . Static Application Security Testing (SAST) tools such as SonarQube analyze every build for insecure coding patterns. Dynamic Application Security Testing (DAST) has become a standard part of many security programs, both int...