Update Claude instructions

Author: jennybc

CLAUDE.md

@@ -80,37 +80,3 @@ Some of the files below `crates/amalthea/src/comm/` are automatically generated
 Such files always have `// @generated` at the top and SHOULD NEVER be edited "by hand".
 If changes are needed in these files, that must happen in the separate Positron source repository and the comms for R and Python must be regenerated.
 
-## Current Work in Progress
-
-### Convert to Code Feature for Data Explorer
-
-**Feature**: Backend implementation of "convert to code" for Positron's data explorer in R, allowing users to generate R code (dplyr syntax) that replicates their UI-based data manipulations (filters, sorting).
-
-**Status**:
-- ✅ R implementation has been created with awareness of the Python implementation
-- ✅ Core feature is implemented and working with dplyr syntax
-- ✅ Unit tests exist for string output validation
-- ✅ An MVP exists of a test that validates the result of executing generated code
-
-**Key files in R implementation**:
-- `crates/ark/src/data_explorer/convert_to_code.rs` - Core conversion logic with traits and handlers + tests
-- `crates/ark/src/data_explorer/r_data_explorer.rs` - Data explorer integration
-- `crates/ark/tests/data_explorer.rs` - Integration tests for data explorer
-
-**Key files in Python implementation** (for reference):
-- `../positron/extensions/positron-python/python_files/posit/positron/convert.py` - Core conversion logic
-- `../positron/extensions/positron-python/python_files/posit/positron/data_explorer.py` - Main data explorer (see `convert_to_code` methods around lines 1408, 2297)
-- `../positron/extensions/positron-python/python_files/posit/positron/tests/test_convert.py` - Execution validation tests
-
-**Architecture comparison**:
-- Both R and Python use similar trait/abstract class patterns for extensibility
-- R uses `PipeBuilder` for clean pipe chain generation; Python uses `MethodChainBuilder`
-- Both have comprehensive filter/sort handlers with type-aware value formatting
-
-**Possible next steps**:
-1. Add more execution tests, e.g. for sorting, or combined filtering and sorting
-1. Consider a "tidyverse" syntax instead of or in addition to "dplyr", where
-   we would use stringr function for text search filters
-1. Dig in to non-syntactic column names
-1. Dig in to filtering for date and datetime columns
-1. Handle "base" and "data.table" syntaxes

crates/ark/src/data_explorer/CLAUDE.md

@@ -0,0 +1,33 @@
+# Data Explorer - Convert to Code Feature
+
+Backend implementation of "convert to code" for Positron's data explorer in R, allowing users to generate R code (dplyr syntax) that replicates their UI-based data manipulations (filters, sorting).
+
+## Key Files
+
+### Core Implementation
+- `convert_to_code.rs` - Core conversion logic with traits and handlers + comprehensive tests
+- `r_data_explorer.rs` - Data explorer integration with convert-to-code support
+
+### Tests
+- `../../../tests/data_explorer.rs` - Integration tests for data explorer including extensive sorting tests
+
+## Architecture
+
+The R implementation follows similar patterns to the Python implementation:
+
+- **Trait-based design** for extensibility with `FilterHandler`, `SortHandler`, and `CodeConverter` traits
+- **PipeBuilder** for clean pipe chain generation (similar to Python's `MethodChainBuilder`)
+- **Comprehensive filter/sort handlers** with type-aware value formatting
+- **Non-syntactic column name handling** using backticks when needed
+
+## Future Enhancements
+
+1. Consider a "tidyverse" syntax where stringr functions are used for text search filters
+2. Handle "base" and "data.table" syntaxes in addition to dplyr
+
+## Reference Implementation
+
+For architectural reference, see the Python implementation:
+- `../positron/extensions/positron-python/python_files/posit/positron/convert.py` - Core conversion logic
+- `../positron/extensions/positron-python/python_files/posit/positron/data_explorer.py` - Main data explorer integration
+- `../positron/extensions/positron-python/python_files/posit/positron/tests/test_convert.py` - Execution validation tests