The author also ponders the impact of AI on software quality, suggesting that it could potentially worsen before improving. They invite readers to share their experiences with poor software and examples of high-quality software that inspire optimism for the future.
Key takeaways:
- The author observes that software quality seems to have declined recently, with basic functions being split across apps, unreliable cloud services, and poorly designed banking apps.
- The author questions whether the decline in software quality is due to a lack of focused work, an overemphasis on new trends at the expense of quality, or the rise of developers who lack a solid understanding of the fundamentals due to the availability of easy coding tools.
- The author also raises the question of what the rise of AI might mean for software quality, suggesting that things could get worse before they get better.
- The author invites readers to share their worst experiences with bad software and any examples of exceptionally good software that give them hope for the future.