Tag
The author argues that AI agents are finally becoming practically useful for real work, highlighting coding assistants, research summarization, and business automation as key areas of improvement. They emphasize that narrow, focused agents outperform fully autonomous ones.
The author argues that autonomous AI agents are overrated without structured business context and scoped jobs, sharing practical insights from client work where agents run on fixed cadences with human oversight on writes.
A skeptical software engineer argues that chatbots are overhyped and that the real value of AI lies in using language models as reliable compute components in engineering systems, encouraging developers to integrate AI into practical applications beyond conversational interfaces.