The AI orientation tax: it's missing context, not discipline
A developer reflects on the challenges of managing multiple AI projects, highlighting the importance of context over discipline.
- Context is crucial in AI project management, more so than discipline.
- Developers should prioritize tasks based on context, not just discipline.
- Lack of context can lead to project delays and mismanagement.
A developer shares their experience with managing multiple AI projects, pointing out the difficulties of keeping track of progress and prioritizing tasks. They argue that context is key to successful project management, rather than relying solely on discipline. This perspective is relevant to developers working on complex AI projects, where context is often lacking.
The developer's anecdote illustrates the challenges of managing multiple projects simultaneously, where it's easy to lose sight of what needs to be done. They suggest that context, rather than discipline, is the missing link in successful project management. This idea is worth considering for developers who struggle with prioritizing tasks and keeping track of progress.
The article highlights the importance of context in AI project management, emphasizing the need for developers to stay focused and adaptable in the face of complex and ever-changing projects.
Understanding the importance of context in AI project management can help developers prioritize tasks more effectively.
The article provides a relatable perspective on the challenges of managing multiple projects, highlighting the need for context in AI project management.
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