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Description
Current Problem:
Issue: DeepSeek's chat session limits are causing significant work loss and productivity issues when projects remain incomplete at session expiration.
Impact:
Hours/days of work lost when chat resets
Critical project context disappears
Developers must restart from scratch
Time and effort wasted repeatedly
Detailed Scenario:
A developer spends 4-5 hours working on a complex payment gateway project:
Multiple code files created and refined
Complex debugging sessions completed
Specific business logic implemented
Custom configurations tested
When the chat session expires before project completion:
✅ All context lost
✅ Code history disappeared
✅ Problem-solving progress erased
✅ Time investment wasted
Proposed Solutions:
Option 1: Project-Based Sessions
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FEATURE: Project Persistence
- Allow users to "Save as Project"
- Return to same project context anytime
- Maintain complete conversation history
- No time-based expiration for saved projects
Option 2: Extended Session Limits
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FEATURE: Session Extensions - Warn users before session expiration
- Option to extend current session
- Pay-per-extension model
- Grace period for active projects
Option 3: Export/Import Capability
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FEATURE: Conversation Backup - Export full conversation as JSON/text
- Import to continue where left off
- Project state saving/loading
User Impact Analysis:
Without This Feature:
❌ Productivity loss
❌ Developer frustration
❌ Project abandonment
❌ Time wastage
With This Feature:
✅ Continuous workflow
✅ Better user experience
✅ Higher completion rates
✅ Professional workflow support
Business Justification:
For Free Users:
Basic project saving (1-2 active projects)
Limited persistence period
For Pro Users:
Unlimited project persistence
Advanced export features
Priority session retention
Technical Implementation Suggestions:
Session State Storage
Project Naming & Organization
Context Preservation
Resume Capability
Urgency Level: HIGH
This feature addresses a critical pain point affecting developer productivity and project success rates. The current session limitations contradict the purpose of an AI coding assistant where complex projects often span multiple sessions.
Recommendation: Implement at least basic project saving functionality to prevent work loss and improve user satisfaction significantly.
