Add placeholder troubleshooting docs

Author: GregoryComer

docs/source/using-executorch-ios.md

@@ -106,7 +106,7 @@ git clone https://github.com/pytorch/executorch.git --depth 1 --recurse-submodul
 python3 -m venv .venv && source .venv/bin/activate && pip install --upgrade pip
 ```
 
-4. Install the required dependencies, including those needed for the backends like [Core ML](build-run-coreml.md) or [MPS](build-run-mps.md), if you plan to build them as well:
+4. Install the required dependencies, including those needed for the backends like [Core ML](backends-coreml.md) or [MPS](backends-mps.md), if you plan to build them as well:
 
 ```bash
 ./install_executorch.sh --pybind coreml mps xnnpack

docs/source/using-executorch-troubleshooting.md

@@ -1,3 +1,20 @@
 # Profiling and Debugging
 
-Placeholder for top-level troubleshooting, profiling, and devtool docs
+ExecuTorch 
+
+## General Troubleshooting Steps
+
+- To troubleshoot failure of runtime API calls, such as loading or running a model, ensure that ExecuTorch framework logging is enabled. See [Logging](using-executorch-runtime-integration.md#logging) for more information.
+- As a prelimatinary step to troubleshoot slow run times, ensure that performance testing is being done in a release build, and that the model is delegated. See [Inference is Slow](using-executorch-faqs.md#inference-is-slow--performance-troubleshooting) for more information.
+- Check [Frequently Asked Questions](using-executorch-faqs.md) for common issues and questions encountered during install, model export, and runtime integration.
+
+## Developer Tools
+
+The ExecuTorch developer tools, or devtools, are a collection of tooling for troubleshooting model performance, numerics, and resource utilization. See [Introduction to the ExecuTorch Developer Tools](devtools-overview.md) for an overview of the available developer tools and usage.
+
+## Next Steps
+
+- [Frequently Asked Questions](using-executorch-faqs.md) for solutions to commonly encountered questions and issues.
+- [Introduction to the ExecuTorch Developer Tools](runtime-profiling.md) for a high-level introduction to available developer tooling.
+- [Using the ExecuTorch Developer Tools to Profile a Model](tutorials/devtools-integration-tutorial.md) for information on runtime performance profiling.
+- [Inspector APIs](runtime-profiling.md) for reference material on trace inspector APIs.