Add-ons
Premium Features
Enhance your Pyckle experience with powerful add-ons designed to maximize your code intelligence and streamline your workflow.
Custom PyckLM Tuning
Your codebase speaks its own language. Teach Pyckle to understand it.
Every codebase has unique conventions, naming patterns, and architectural decisions that generic embedding models struggle to capture. Custom PyckLM Tuning fine-tunes our embedding model specifically on your code, learning the semantic relationships between your functions, classes, and modules.
The tuning process analyzes your codebase structure, commit history, and documentation to build a model that understands what "the auth handler" or "that validation logic" means in your specific context. This typically results in 2-3x better retrieval accuracy compared to out-of-the-box embeddings.
What you get
- Custom embedding model trained on your codebase
- 2-3x improvement in semantic search accuracy
- Better understanding of domain-specific terminology
- Improved retrieval for internal naming conventions
- One free model refresh within 90 days of purchase
Ideal for: Teams with large codebases, proprietary frameworks, or specialized domains where generic models miss important context.
Codebase Refresh
Keep your index current when your code evolves.
Codebases change. New features get added, old modules get refactored, and entire architectures can shift over time. When your code diverges significantly from its indexed state, search quality degrades.
A Codebase Refresh re-indexes your entire project from scratch, capturing all structural changes, new files, renamed modules, and updated documentation. Unlike incremental updates, a full refresh ensures complete consistency.
What you get
- Complete re-indexing of your codebase
- Updated file maps and dependency graphs
- Fresh analysis of code structure and relationships
- Removal of stale references to deleted files
- Priority processing (typically completed within 1 hour)
Ideal for: Teams who've completed major refactors, added significant new features, or haven't refreshed in several months.
Multi-platform Export
One index, every AI coding tool.
Your team doesn't all use the same tools. Some prefer Cursor, others swear by GitHub Copilot, and a few have switched to Windsurf. Without Multi-platform Export, each tool operates in isolation.
This add-on generates configuration files tailored for each major AI coding assistant. All exports draw from the same indexed codebase, ensuring consistency across your entire team.
Supported platforms
- Claude Code (CLAUDE.md)
- Cursor (.cursorrules, .cursorcontext)
- GitHub Copilot (custom instructions)
- Windsurf (workspace context)
- Continue.dev (context providers)
- Generic formats for other tools
Ideal for: Teams with diverse tooling preferences, or developers who switch between multiple AI assistants.
Dynamic Threshold Monitoring
Smarter retrieval that adapts to how you search.
Semantic search relies on similarity thresholds to decide what's relevant. The optimal threshold varies based on query type, codebase density, and even time of day.
Dynamic Threshold Monitoring continuously analyzes your query patterns and adjusts retrieval parameters in real-time. The system learns from implicit feedback and builds a profile of your search behavior.
What you get
- Automatic threshold adjustment based on query type
- Learning from your search patterns and behavior
- Better precision for specific queries
- Better recall for exploratory searches
- Monthly analytics reports on search quality
Ideal for: Power users who search frequently and want consistently relevant results without manual tuning.
Dynamic Codebase Monitoring
Your index stays fresh automatically.
Manual refreshes are a chore. You finish a feature, push to main, and three days later realize your Pyckle index is stale.
Dynamic Codebase Monitoring watches your repository for significant changes and triggers automatic re-indexing when needed. It integrates with GitHub, GitLab, and Bitbucket webhooks to detect pushes in real-time.
What you get
- Automatic re-indexing on significant code changes
- GitHub, GitLab, and Bitbucket integration
- Configurable sensitivity (commit count, file changes, etc.)
- Email notifications when index updates complete
- Change logs showing what was added/modified/removed
Ideal for: Active repositories with frequent commits, teams who forget to manually refresh, or CI/CD-driven workflows.
Query Pattern Training
The more you search, the smarter Pyckle gets.
Every search you run is a signal about what matters in your codebase. Query Pattern Training captures these signals and uses them to continuously improve your personalized model.
The system builds query-to-code mappings based on your actual usage. When you search "error handling" and spend time in src/utils/errors.ts, that association strengthens.
What you get
- Continuous learning from your search behavior
- Personalized ranking based on your usage patterns
- Query-to-code association mapping
- Improved results for frequently searched concepts
- Quarterly model evolution reports
- Ability to export learned patterns for team sharing
Ideal for: Long-term Pyckle users who want search quality that improves over time without manual intervention.
Ready to enhance your workflow?
Visit your dashboard to add any of these features to your account.
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