Add Reproducer & Debugging Tools section to README.md (#161)

Summary:
This update enhances the README.md by introducing a new section on Reproducer & Debugging Tools. Key features include:
- Standalone Script Generation for extracting kernels into self-contained Python scripts.
- Tensor Data Reconstruction to preserve actual tensor data or use statistical approximations.
- Custom Templates for flexible reproducer workflows.
- Bug Isolation to facilitate sharing reproducible test cases for debugging.

Additionally, the Usage Guide link has been updated to reflect the new content. This change aims to improve user understanding and accessibility of debugging tools within TritonParse.

Pull Request resolved: #161

Reviewed By: xuzhao9

Differential Revision: D84164346

Pulled By: FindHao

fbshipit-source-id: 2a6ec83cbfb3a927b9ed7c3d79b14d6f03e16ab0

Author: FindHao

README.md

@@ -16,13 +16,18 @@
 - **📝 Multi-format IR Support** - View TTGIR, TTIR, LLIR, PTX, and AMDGCN
 - **🎯 Interactive Code Views** - Click-to-highlight corresponding lines across IR stages
 
+### 🔧 Reproducer & Debugging Tools
+- **🔄 Standalone Script Generation** - Extract any kernel into a self-contained Python script
+- **💾 Tensor Data Reconstruction** - Preserve actual tensor data or use statistical approximation
+- **🎯 Custom Templates** - Flexible reproducer templates for different workflows
+- **🐛 Bug Isolation** - Share reproducible test cases for debugging and collaboration
+
 ### 📊 Structured Logging & Analysis
 - **📝 Compilation & Launch Tracing** - Capture detailed events with source mapping
 - **🔍 Stack Trace Integration** - Full Python stack traces for debugging
 - **📈 Metadata Extraction** - Comprehensive kernel statistics
 
 ### 🛠️ Developer Tools
-- **🔧 Reproducer Generation** - Generate standalone Python scripts to reproduce kernels
 - **🌐 Browser-based Interface** - No installation required, works in your browser
 - **🔒 Privacy-first** - All processing happens locally, no data uploaded
 
@@ -69,6 +74,41 @@ tritonparse.utils.unified_parse("./logs/", out="./parsed_output")
 
 > **🔒 Privacy Note**: Your trace files are processed entirely in your browser - nothing is uploaded to any server!
 
+### 3. Generate Reproducers (Optional)
+
+Extract any kernel into a standalone, executable Python script for debugging or testing:
+
+```bash
+# Generate reproducer from first launch event
+tritonparse reproduce ./parsed_output/trace.ndjson.gz --line 2 --out-dir repro_output
+
+# Run the generated reproducer
+cd repro_output/<kernel_name>/
+python repro_*.py
+```
+
+**Python API:**
+```python
+from tritonparse.reproducer.orchestrator import reproduce
+
+result = reproduce(
+    input_path="./parsed_output/trace.ndjson.gz",
+    line_index=1,           # Which launch event (1-based)
+    out_dir="repro_output"
+)
+```
+
+<details>
+<summary>🎯 Common Reproducer Use Cases (click to expand)</summary>
+
+- **🐛 Bug Isolation**: Extract a failing kernel into a minimal standalone script
+- **⚡ Performance Testing**: Benchmark specific kernels without running the full application
+- **🤝 Team Collaboration**: Share reproducible test cases with colleagues or in bug reports
+- **📊 Regression Testing**: Compare kernel behavior and performance across different versions
+- **🔍 Deep Debugging**: Modify and experiment with kernel parameters in isolation
+
+</details>
+
 ## 🛠️ Installation
 
 **For basic usage (trace generation):**
@@ -99,7 +139,7 @@ pip install triton
 |----------|-------------|
 | **[🏠 Wiki Home](https://github.com/meta-pytorch/tritonparse/wiki)** | Complete documentation and quick navigation |
 | **[📦 Installation](https://github.com/meta-pytorch/tritonparse/wiki/01.-Installation)** | Setup guide for all scenarios |
-| **[📋 Usage Guide](https://github.com/meta-pytorch/tritonparse/wiki/02.-Usage-Guide)** | Complete workflow, examples, and reproducer |
+| **[📋 Usage Guide](https://github.com/meta-pytorch/tritonparse/wiki/02.-Usage-Guide)** | Complete workflow, reproducer generation, and examples |
 | **[🌐 Web Interface](https://github.com/meta-pytorch/tritonparse/wiki/03.-Web-Interface-Guide)** | Master the visualization interface |
 | **[🔧 Developer Guide](https://github.com/meta-pytorch/tritonparse/wiki/04.-Developer-Guide)** | Contributing and architecture overview |
 | **[📝 Code Formatting](https://github.com/meta-pytorch/tritonparse/wiki/05.-Code-Formatting)** | Formatting standards and tools |