Has anyone else experienced previously fixed bugs or deleted components unexpectedly reappearing when using the Replit agent?
I’ve been using the Replit agent extensively to build web applications for work over the past few months, and overall, it’s been a fantastic experience. However, I’ve noticed a recurring issue: once the project codebase reaches a certain complexity or when I’ve spent a long period working within the same large file, previously deleted or fixed components tend to resurface.
I believe this happens primarily because:
-
Residual comments: Old comments referencing past bugs or removed features remain in the code, misleading the agent when it processes new requests. I’ve observed instances where the agent encounters an outdated comment about non-existent code and mistakenly reintroduces the previously deleted or corrected feature back into the project.
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File size and complexity: As development progresses, the agent tends to keep code within a single, increasingly large file rather than splitting it into manageable, modular components. This practice seems to exacerbate the problem because the agent selectively searches a sprawling file, making it easier for “sleeper” or “zombie” code segments to persist unnoticed and reappear later.
A particularly interesting example occurred when a large route file included contradictory comments: one comment described a bug from removed code, while a newer comment directly above instructed the agent explicitly not to reintroduce that bug. Upon examining the agent’s reasoning, I found that it prioritized the outdated comment about the broken feature, disregarding clear guidance to the contrary.
To mitigate this, I’ve considered potential solutions such as:
- Finding a way to encourage the agent to automatically and proactively split large files into smaller, modular ones as development progresses. So the agent can continually read the whole file instead of searching for specific features only in a large one.
- Drawback - I have not found a way to get the agent to enforce this rule consistently
- Conducting periodic “spring cleaning” to refactor and reorganize files, removing outdated comments without disrupting existing functionality.
- Everytime I do this claude 3.7 goes wild and breaks things beyond repair
- Introducing timestamps or relational tags connecting comments to their corresponding code segments, enabling the agent to recognize and prioritize recent edits and instructions easily.
- Drawback - Not sure how this would work, & it seems it may make the file size and selective context editing worse because the agent is using input tokens on the timestamps and relations to edits/snippets instead of the actual code base.
Has anyone encountered similar issues, or found effective workflows or solutions to manage large, evolving codebases with the Replit agent? I’d greatly appreciate hearing your insights and experiences.
I have the same issue, I have heavily documented my app and features and have a versioning for each feature and even the documentation to keep everything up to date. I use extra checkpoints to do this but after blowing up my system after an ugrade it was necessary to keep things organized and have something for the system to reference before making huge or unnecessary changes. I have a huge system with many many features, I depreciate old code and document it, I stopped dumping features without archiving documentation on it and why, then I prompt it to reference these docs before removing or updating, and or making a new feature. It’s not perfect but it has helped me along the way.
IZIOS Diamond System Documentation
AI Development Reference: For AI assistants working on this project, please review the AI Development Reference before making any changes.
Documentation Structure
The IZIOS documentation is organized into the following main categories:
Guides
Guides provide detailed step-by-step instructions for implementing specific features or functionality:
- API Guides (
/guides/api/) - Instructions for working with APIs and integrations
- Development Guides (
/guides/development/) - Implementation instructions for developers
- Feature Guides (
/guides/features/) - Explanations of specific system features
- Integration Guides (
/guides/integration/) - Guides for external service integrations
Reference
Reference documents contain definitive technical specifications and standards:
- Schema References - Comprehensive schema documentation
- API References - Complete API specifications
- Field References - Definitive field naming and specifications
Reports
Reports provide assessments, analyses, and progress updates:
- Status Reports - Current state of specific systems or initiatives
- Analysis Reports - In-depth examinations of system components
- Audit Reports - Security and performance evaluation results
Standards
Standards define the rules, conventions, and best practices for development:
- Coding Standards - Coding conventions and best practices
- Security Standards - Security requirements and guidelines
- API Standards - API design and implementation rules
Archive
The archive contains historical documentation that has been superseded by newer versions:
- Legacy Documents - Older versions of documentation
- Historical Guides - Previous implementation approaches
Core Documentation
The following documents form the primary reference for the IZIOS diamond management system:
System Overview
Data Standards
API Reference
Developer Guides
Integration Guides
Feature Guides
Reports
Documentation Principles
- Single Source of Truth - Each concept or feature has a single, definitive reference
- Consistency - All documentation follows the same formats and naming conventions
- Practical Examples - Each document includes code examples and implementation guidance
- Current Accuracy - Documents are regularly reviewed and updated to maintain accuracy
Documentation Updates
When updating the system:
- Update the relevant guide or reference document with any changes
- Keep the field reference in
reference/original_csv_fields.md as the single source of truth for field names
- If creating new standalone documents, place them in the appropriate category folder
- Regularly review and confirm document accuracy during development cycles
- Move obsolete documents to the archive folder rather than deleting them
Version History
| Version |
Date |
Description |
Maintainer |
| 2.2.0 |
2025-05-08 |
Added optical attributes and certificate handling documentation |
Hypler (hypler.com) |
| 2.1.0 |
2025-05-06 |
Added database schema documentation |
Hypler (hypler.com) |
| 2.0.0 |
2025-05-04 |
Reorganized documentation structure |
Hypler (hypler.com) |
| 1.0.0 |
2025-05-03 |
Initial comprehensive documentation |
Hypler (hypler.com) |
docs/
├── diamond-import/ # Diamond import system documentation
│ ├── README.md # Overview of diamond import system
│ ├── field-mapping.md # Field mapping documentation
│ ├── configuration-guide.md # Configuration guide
│ ├── troubleshooting.md # Troubleshooting guide
│ ├── database-schema.md # Database schema documentation
│ └── migration-guide.md # Migration guide for import system
├── ai-content/ # AI system documentation
│ ├── index.md # Overview of AI documentation
│ ├── implementation-guide.md # Implementation guide
│ ├── prompt-engineering.md # Prompt engineering guide
│ ├── cost-optimization.md # Cost optimization guide
│ └── reference/ # API reference documentation
├── guides/ # General user and developer guides
│ ├── getting-started.md # Getting started guide
│ ├── development-workflow.md # Development workflow guide
│ ├── deployment.md # Deployment guide
│ └── testing.md # Testing guide
├── standards/ # Coding and documentation standards
│ ├── code-style.md # Code style guide
│ ├── documentation.md # Documentation standards
│ └── git-workflow.md # Git workflow guide
├── reference/ # API and component reference
│ ├── api/ # API reference
│ ├── components/ # Component reference
│ └── database/ # Database reference
├── archive/ # Archived documentation
│ ├── ai-documentation/ # Archived AI documentation
│ ├── legacy-import/ # Archived import documentation
│ └── old-guides/ # Archived guides
├── README.md # Main documentation README
├── AI_DEVELOPMENT_REFERENCE.md # AI development reference
├── CSV_FIELD_MAPPING.md # CSV field mapping reference
└── migration-log.md # Log of all system migrations
1 Like
How much do you think this helps? Does it respect these? I have built these before, and it’s as if they don’t exist.
Thank you for taking the time to put all this together! I am planning a re-design for a work site, and I’ll try to implement these! Thanks again, I really appreciate it!!
@hypler One thought crossed my mind, though - do you experience a lot “reading” check points with this system (checkpoints that seem primarily used to re-establish context with minimal to no changes)? Or does the file structure for the documentation allow the agent to minimize the number of input tokens allocated towards establishing this context? I know you mentioned you have to use additional checkpoints, setting it up, but I’m curious to know if it increases the reading checkpoints and the context reset points (where the agent reminds itself what it is doing/what has been done).
Regardless, I still plan on doing this because I think it will cut down on the backtracking fixes, which is the biggest cost for projects right now. If it goes well for the site re-design, I would love to go even further in this direction and actually to metric test for further revinments - my initial thought on how I could do this:
- Outline a simple project completely
- Implement your practice from the start and track the time to completion, number of zombie bug occurrences, context reset point, total files read, and the total cost
- Then, for a control comparison, rebuild the same project from scratch without these practices and measure the same metrics
- Iterate to improve methodology further
I would love to hear your thoughts on this type of experiment or what you think would be useful to measure!
It might even be fun to put together a “Vibe Coding Cup” competition once a solid baseline project and core metrics are established to push the implementation of these systems even further!
1 Like
Honestly it’s all still up in the air how much this helps, but I’m acting as if I will be bringing in external developers (ie windsurf, or other agents) to help debug the code. I figured wether ai or actual developers can help fix issues if I heavily document, I am probably paying 10% more to the system on additional reads, yea so it’s not cheap but have had better luck working on isolated features with some of these references.
I agree sometimes it goes rogue still, but i prompt in the references to these rules and i make it feature dependent, it has dropped my error rate significantly since i started working this way, even when a problem happens its isolated to a feature instead of breaking the entire system. It’s much less of a problem to rebuild an isolated feature instead of an entire system with multiple working modules already working. This is all in conjunction with using the checkpoint reverts, but if you are in a new chat or accidentally start a new chat (which i have done) this gives you the best chance to try to reverse course by giving the agent breadcrumbs to follow. Food for thought. Keep in mind all these are very specific for my system since it has to work with other existing systems like our suppliers API / FTP and very large spreadsheets, and also WooCommerce.
Depending on what you are building you will need to adjust around what you need, this may be overkill but it’s needed for me because of all the working parts I have to manage. I am almost done finalizing features so maybe I will do a tour of my code structure, backend ui systems and the front end, as well as showing how I got everything to work with Wordpress / Woo and the supplier systems I am tapping into.
I also will be hooking this system up to a custom local vision model that does optical analysis using vision AI systems for Diamond grading for a proprietary scoring system we are using on our site. This is for later in the year it’s not ready yet and I have to finalize 1.0 features this week. I am building this to function by the end of the month fully operational with Woo as the e-commerce payment management system. The part i built on replit is the sophisticated search engine for diamonds and diamond management. It has alot of moving pieces but i think it’s going to be really cool when i’m done.
IZIOS Development Agent Guide
Version: 1.0.0
Last Updated: May 3, 2025
Development Company: Hypler
Lead Developer: Jeffrey Jones
AI Development Support: Replit Agent (Claude 3 Opus)
Overview
This guide establishes the framework and rules for AI development agents working on the IZIOS diamond management platform. It ensures consistent, maintainable, and high-quality feature development that aligns with the established architecture and best practices.
Core Development Principles
1. Documentation-First Development
CRITICAL RULE: Always reference current documentation before implementing any new feature.
The foundation of all development work is the existing documentation. Before writing any code:
- Consult Primary Documentation
- Never Reference Archived Documentation
- Always use the most recent documentation in the main directory
- Archived documents (in
/archive) should be treated as historical references only
- If you need information only available in archived docs, recommend updating the primary docs first
- Verify Feature Compatibility
- Ensure new features align with existing component interfaces
- Validate that data models support required operations
- Check for potential conflicts with other features
2. Documentation Update Workflow
- For Minor Feature Updates:
- Update relevant sections in existing documentation
- Add code examples showing usage patterns
- Increment minor version number in affected documents
- For Major Feature Additions:
- Create new feature-specific documentation following established templates
- Add entry to main documentation index in README.md
- Update system reference documentation to include new feature
- Increment major version number
- For Feature Removals or Replacements:
- Move obsolete documentation to
/archive directory
- Add prefix to filename indicating deprecation (e.g.,
DEPRECATED_FEATURE_NAME.md)
- Update main documentation to reference new replacement feature
- Create a migration guide if necessary
3. Documentation Versioning System
All documentation will follow semantic versioning (MAJOR.MINOR.PATCH):
Version: X.Y.Z
Where:
- X (MAJOR): Incremented for incompatible API changes or significant feature overhauls
- Y (MINOR): Incremented for backward-compatible feature additions
- Z (PATCH): Incremented for backward-compatible bug fixes or minor text updates
The main README.md file should maintain a version history table for all significant updates.
Feature Development Workflow
1. Pre-Development Phase
- Document Analysis
- Identify all documentation relevant to the feature area
- Note existing patterns, conventions, and interfaces
- Identify potential impact areas on other features
- Feature Specification
- Define clear requirements based on documentation review
- Outline necessary database changes
- Map UI/UX components required
- Identify API endpoints to create or modify
- Documentation Planning
- Determine which documents will need updates
- Plan for new documentation if creating major feature
- Prepare draft documentation updates
2. Implementation Phase
- Follow Established Patterns
- Use existing design patterns documented in codebase
- Adhere to naming conventions consistently
- Maintain separation of concerns as per architecture
- Incremental Implementation
- Implement database changes first
- Then develop service layer functionality
- Finally implement UI components
- Test at each stage
- Use Proper Feature Flags
- Implement feature flags for major changes
- Allow gradual rollout of functionality
- Document feature flag usage
3. Documentation Update Phase
- Update Technical Documentation
- Add all implementation details to relevant documents
- Include code examples of key usage patterns
- Document any API changes thoroughly
- Create User-Facing Documentation
- Develop clear usage instructions
- Add screenshots or videos of new features
- Document any changes to existing workflows
- Version Management
- Update version numbers in affected documents
- Maintain changelog entries
- Archive outdated documentation
IZIOS-Specific Development Rules
1. Data Management
- Case Standardization
- Database tables and columns must use snake_case naming (e.g.,
diamond_id, report_no)
- Database schema definitions must use camelCase property names with snake_case column names (e.g.,
diamondId: text('diamond_id'))
- Materialized views should map snake_case columns to camelCase field names (e.g.,
diamond_id AS "diamondId")
- Frontend props, variables, and component names must use camelCase
- API request and response parameters must use camelCase
- Database Operations
- Never perform destructive operations directly
- Always use transactions for critical operations
- Validate data before storage
- For migration needs, create proper migration scripts
- Field Naming
- Always consult Original CSV Fields document
- Maintain consistency with existing naming conventions
- Document any new fields added to the system
2. Feature Integration Guidelines
- SEO and Structured Data
- Feature Discovery
- Make new features discoverable through UI/UX cues
- Include proper analytics tracking for feature usage
- Implement appropriate accessibility attributes
- Favorites and Sharing Integration
3. Platform-Specific Considerations
- Mobile Responsiveness
- All new features must be fully responsive
- Test on various device sizes
- Implement touch-friendly interactions
- Performance Optimization
- Follow guidelines in SEO and Performance Guidelines
- Implement proper loading states
- Use pagination for large datasets
- Optimize image and asset loading
- Specialized Features
Authentication and Change Management
Document Signing and Approval
All significant feature updates require proper approval and authentication:
- Standard Attribution Format
Developed by Hypler (hypler.com)Lead Developer: Jeffrey JonesAI Assistance: Replit Agent (Claude 3 Opus)Date: YYYY-MM-DDVersion: X.Y.Z
- Change Log Requirements
- Document all significant changes
- Include reference to requirements/tickets
- Note any migration considerations
- Document testing performed
- Approval Process
- Lead developer review required for all documentation updates
- Version control commit messages must reference approval
- Major changes require stakeholder sign-off
Common Pitfalls to Avoid
1. Architecture Violations
- Bypassing Service Layer: Never access database directly from UI components
- Mixing Concerns: Keep clear separation between UI, business logic, and data access
- Reinventing Components: Use existing UI components rather than creating new ones
2. Documentation Neglect
- Outdated References: Never reference obsolete practices or patterns
- Incomplete Updates: Always update all affected documentation
- Missing Examples: Always include practical code examples
3. Performance Issues
- Unoptimized Queries: Always optimize database queries
- Missing Indices: Add appropriate database indices for new query patterns
- Large Payloads: Minimize data transferred between client and server
- Resource Leaks: Properly manage resources, especially for image processing
Development Standards Enforcement
1. Pre-Implementation Checks
Before implementing any new feature, verify:
- Current documentation has been consulted
- Feature adheres to architectural standards
- Database schema changes are properly planned
- UI/UX is consistent with existing patterns
- Integration points with existing features are identified
2. Implementation Guidelines
During implementation:
- Follow TDD (Test-Driven Development) approach
- Add proper error handling and logging
- Implement analytics tracking for usage
- Create appropriate validation mechanisms
- Ensure security best practices
3. Documentation Review
After implementation:
- Update all affected documentation
- Archive obsolete documentation
- Create new documentation for major features
- Update version numbers appropriately
- Add developer attribution
Cost-Saving Development Practices
1. Reuse Existing Components
- Search for existing functionality before building new
- Leverage the component library fully
- Adapt existing patterns rather than creating new ones
2. Incremental Feature Development
- Implement MVP features first
- Get user feedback before expanding scope
- Use feature flags for gradual rollout
3. Automated Testing
- Write comprehensive tests for new features
- Use test coverage as a quality metric
- Automate regression testing
Version History
| Version |
Date |
Changes |
Approved By |
| 1.0.0 |
2025-05-03 |
Initial guide creation |
Jeffrey Jones |
Appendix: Key Documentation Reference
Primary System Documents
Feature-Specific Documents
Integration Documents
By referencing this guide in all development work, we ensure consistency, quality, and alignment with the overall IZIOS platform architecture. Always consult relevant documentation before making system changes.
