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The Self-Improving Agent: How CVC Learns From Its Mistakes

Jai Kumar MeenaMarch 8, 20266 min read
LearningMemorySelf-ImprovingLessons

The Self-Improving Agent: How CVC Learns From Its Mistakes

The Lessons System

When you correct Sofia, she doesn't just fix the immediate issue. She silently records the pattern in .cvc/lessons.md:

markdown
## Lessons Learned

- When editing Python imports, always check if the module is already imported before adding a new import line.
- User prefers pytest fixtures over setUp/tearDown class methods.
- This project uses FastAPI dependency injection — don't use global variables for request state.

These lessons are auto-loaded at the start of every session. Sofia reads her own mistakes and proactively avoids them. Over time, she becomes increasingly tailored to your preferences, your project, and your coding style.

Cross-Session Memory

Beyond lessons, CVC maintains a persistent memory system across sessions:

  • Session summaries stored in ~/.cvc/memory.md
  • Workspace-aware recall — memories from the current project are prioritized
  • Up to 50 entries spanning weeks or months of AI interaction
    Blog — CVC & AI Engineering | Jai Kumar Meena