Unlocking AI Efficiency: The Power of Tiered Memory Architecture in Development
At Cortex TMS, our journey with AI coding assistants like Claude Code revealed a critical flaw: traditional documentation—like lengthy READMEs—just doesn’t cut it. Here’s what we discovered during our six-month development phase:
- Key Observations:
- AI often forgets architectural decisions.
- A significant 40% of commits needed corrections.
- Repeated questions indicated AI’s memory issues.
To combat this, we implemented a Three-Tier System:
- HOT (Immediate tasks)
- WARM (Occasional reference)
- COLD (Archived information)
Results:
- Reduced pattern violations by 80%.
- Cut down back-and-forth feature discussions by 50%.
This structured approach boosted AI reliability, allowing for seamless development. Are you facing similar challenges with AI forgetting crucial details? Let’s connect and explore potential solutions!
🔗 Share your experiences below!