Developers are using AI Wrong
10 months ago
- #AI Workflow
- #Memory Systems
- #Productivity
- Current AI workflows often involve repetitive corrections and context re-explanation, leading to frustration.
- David Cramer's approach of using manual rules files for LLM context is noted but seen as inefficient.
- The author highlights the issue of AI systems not retaining information between conversations, likening it to training from scratch daily.
- Giga, an AI memory system, is introduced as a solution to build persistent knowledge by learning from user interactions.
- The 'reflect' command in Giga allows the AI to identify and save patterns, improving decision-making over time.
- Recommendations for improving AI workflows include leveraging conversation history, incremental context building, and focusing on systems over individual chats.
- The future of AI is envisioned as systems that remember and learn, akin to human team members, rather than just more powerful models.
- Giga is currently in private beta, with the author inviting interested parties to request a demo.