The perceived decline in software quality is often a matter of perspective. In the early era of personal computing, software was frequently 'horrible' by modern standards, characterized by extreme instability. A primary factor in this was the 'quality floor' imposed by physical distribution. Because software was shipped on floppy disks or CDs, companies had only one chance to ensure a product worked 'out of the box.' This stood in stark contrast to modern continuous deployment, where software can be updated and patched indefinitely. Despite this distribution constraint, early systems like Windows suffered from frequent 'Blue Screens of Death'—kernel panics often triggered by buggy device drivers or the operating system's failure to reclaim resources from finished programs.
Beyond system-wide crashes, the user experience was defined by the trauma of data loss. Early applications often lacked reliable autosave features or failed to flush buffered writes, meaning a single crash could erase hours of work. This lack of reliability created a lasting psychological habit among users; even in modern environments like Google Docs, where autosaving is standard, many users still reflexively press 'Ctrl+S' out of a deep-seated fear of losing their progress. Furthermore, software was heavily constrained by hardware. Limited memory and CPU speeds led to specific programming flaws, such as games crashing if a unit count exceeded 255. To manage these limitations, some hardware even included a 'TURBO' button to manually slow down a processor so that older, timing-dependent applications could run without breaking.
Modern software faces a different set of challenges: bloat, extreme complexity, and increased latency. While the 'micro-level' of software—the individual lines of code and libraries—has become much more reliable and easier to test, the 'macro-level' architecture has shifted. Many modern applications now run as complex web-based monstrosities, which can introduce noticeable delays in user interaction. This shift represents a trade-off: we have traded the fragility and hardware-specific quirks of the past for a more stable but significantly more complex and abstracted computing environment. The primary source notes that while modern software is often slower and more complex due to having 'too many cooks in the kitchen,' it remains fundamentally more stable than the systems of the 1990s.