Navigating the Challenges of AI Collaboration
This year, I invested ~$2k in Claude Code, driven by excitement and optimism as a seasoned developer turned AI enthusiast. However, I quickly learned that relying on markdown instructions alone doesn’t cut it.
Key Issues Encountered:
- Post-Compact Amnesia: Claude often “forgets” instructions, leading to chaotic interpretations.
- Session Memory Loss: Repetitive inquiries akin to a new intern’s first day.
- TODO Epidemic: Promises of implementation without actual execution.
- Command Chaos: Unintended actions such as
rm -rf, causing more frustration than solutions.
After months of struggle, I developed hooks to enforce command guidelines, pushing back against the AI’s limitations.
🔍 Questions for the Community:
- Is this a common experience with Claude Code?
- Are similar issues present in Cursor/Copilot?
- Are markdown guidelines viable for AI at scale?
Curious to hear your thoughts! Check out the hooks I created on GitHub. Let’s discuss and share solutions!
