We automated everything except knowing what's going on
eversole.dev
March 3, 2026
6 min read
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50/100
Summary
The democratization of software has significantly reduced the cost and time required to build products, enabling individuals to launch ideas quickly with the help of AI agents. However, the underlying systems supporting this rapid development are struggling, and the personnel maintaining them are becoming overwhelmed.
Key Takeaways
- The cost of building software has dramatically decreased, allowing individuals with ideas and AI agents to ship products quickly, often in a weekend.
- The complexity of modern software systems has increased significantly, leading to a disconnect where many developers do not fully understand the systems they create.
- There is a growing crisis in software engineering where the number of people maintaining systems is shrinking, while the pace of change and deployment is accelerating.
- Effective engineering relies on understanding system connections and risks, but this understanding is often fragmented and lost across multiple tools and teams.
Community Sentiment
Positives
- The ability to automate legacy codebases allows for rapid development, but it raises questions about understanding the underlying systems and their implications.
- Trusting established systems like SQL or logging frameworks enables developers to focus on higher-level tasks, which can enhance productivity.
- The anecdote about AI generating a simple web app highlights the potential for AI to streamline development, especially for solo entrepreneurs.
Concerns
- Relying on automation without understanding can lead to unforeseen issues, as evidenced by the past experiences with bugs in complex systems.
- The disparity between solo entrepreneurs and employed developers raises concerns about the sustainability and maintenance of AI-generated solutions.
