diff --git a/codeflash/code_utils/instrument_existing_tests.py b/codeflash/code_utils/instrument_existing_tests.py
index b16606357..99ec98370 100644
--- a/codeflash/code_utils/instrument_existing_tests.py
+++ b/codeflash/code_utils/instrument_existing_tests.py
@@ -684,27 +684,6 @@ def visit_ImportFrom(self, node: ast.ImportFrom) -> None:
                     )
 
 
-def instrument_source_module_with_async_decorators(
-    source_path: Path, function_to_optimize: FunctionToOptimize, mode: TestingMode = TestingMode.BEHAVIOR
-) -> tuple[bool, str | None]:
-    if not function_to_optimize.is_async:
-        return False, None
-
-    try:
-        with source_path.open(encoding="utf8") as f:
-            source_code = f.read()
-
-        modified_code, decorator_added = add_async_decorator_to_function(source_code, function_to_optimize, mode)
-
-        if decorator_added:
-            return True, modified_code
-
-    except Exception:
-        return False, None
-    else:
-        return False, None
-
-
 def inject_async_profiling_into_existing_test(
     test_path: Path,
     call_positions: list[CodePosition],
@@ -1288,25 +1267,29 @@ def leave_Module(self, original_node: cst.Module, updated_node: cst.Module) -> c
 
 
 def add_async_decorator_to_function(
-    source_code: str, function: FunctionToOptimize, mode: TestingMode = TestingMode.BEHAVIOR
-) -> tuple[str, bool]:
-    """Add async decorator to an async function definition.
+    source_path: Path, function: FunctionToOptimize, mode: TestingMode = TestingMode.BEHAVIOR
+) -> bool:
+    """Add async decorator to an async function definition and write back to file.
 
     Args:
     ----
-        source_code: The source code to modify.
+        source_path: Path to the source file to modify in-place.
         function: The FunctionToOptimize object representing the target async function.
         mode: The testing mode to determine which decorator to apply.
 
     Returns:
     -------
-        Tuple of (modified_source_code, was_decorator_added).
+        Boolean indicating whether the decorator was successfully added.
 
     """
     if not function.is_async:
-        return source_code, False
+        return False
 
     try:
+        # Read source code
+        with source_path.open(encoding="utf8") as f:
+            source_code = f.read()
+
         module = cst.parse_module(source_code)
 
         # Add the decorator to the function
@@ -1318,10 +1301,17 @@ def add_async_decorator_to_function(
             import_transformer = AsyncDecoratorImportAdder(mode)
             module = module.visit(import_transformer)
 
-        return sort_imports(code=module.code, float_to_top=True), decorator_transformer.added_decorator
+        modified_code = sort_imports(code=module.code, float_to_top=True)
     except Exception as e:
         logger.exception(f"Error adding async decorator to function {function.qualified_name}: {e}")
-        return source_code, False
+        return False
+    else:
+        if decorator_transformer.added_decorator:
+            with source_path.open("w", encoding="utf8") as f:
+                f.write(modified_code)
+            logger.debug(f"Applied async {mode.value} instrumentation to {source_path}")
+            return True
+        return False
 
 
 def create_instrumented_source_module_path(source_path: Path, temp_dir: Path) -> Path:
diff --git a/codeflash/context/unused_definition_remover.py b/codeflash/context/unused_definition_remover.py
index 7fdee53c0..2a288d861 100644
--- a/codeflash/context/unused_definition_remover.py
+++ b/codeflash/context/unused_definition_remover.py
@@ -469,22 +469,32 @@ def remove_unused_definitions_by_function_names(code: str, qualified_function_na
         qualified_function_names: Set of function names to keep. For methods, use format 'classname.methodname'
 
     """
-    module = cst.parse_module(code)
-    # Collect all definitions (top level classes, variables or function)
-    definitions = collect_top_level_definitions(module)
+    try:
+        module = cst.parse_module(code)
+    except Exception as e:
+        logger.debug(f"Failed to parse code with libcst: {type(e).__name__}: {e}")
+        return code
 
-    # Collect dependencies between definitions using the visitor pattern
-    dependency_collector = DependencyCollector(definitions)
-    module.visit(dependency_collector)
+    try:
+        # Collect all definitions (top level classes, variables or function)
+        definitions = collect_top_level_definitions(module)
 
-    # Mark definitions used by specified functions, and their dependencies recursively
-    usage_marker = QualifiedFunctionUsageMarker(definitions, qualified_function_names)
-    usage_marker.mark_used_definitions()
+        # Collect dependencies between definitions using the visitor pattern
+        dependency_collector = DependencyCollector(definitions)
+        module.visit(dependency_collector)
 
-    # Apply the recursive removal transformation
-    modified_module, _ = remove_unused_definitions_recursively(module, definitions)
+        # Mark definitions used by specified functions, and their dependencies recursively
+        usage_marker = QualifiedFunctionUsageMarker(definitions, qualified_function_names)
+        usage_marker.mark_used_definitions()
 
-    return modified_module.code if modified_module else ""
+        # Apply the recursive removal transformation
+        modified_module, _ = remove_unused_definitions_recursively(module, definitions)
+
+        return modified_module.code if modified_module else ""  # noqa: TRY300
+    except Exception as e:
+        # If any other error occurs during processing, return the original code
+        logger.debug(f"Error processing code to remove unused definitions: {type(e).__name__}: {e}")
+        return code
 
 
 def print_definitions(definitions: dict[str, UsageInfo]) -> None:
diff --git a/codeflash/github/PrComment.py b/codeflash/github/PrComment.py
index 4de25230a..fe0ff095e 100644
--- a/codeflash/github/PrComment.py
+++ b/codeflash/github/PrComment.py
@@ -21,15 +21,17 @@ class PrComment:
     winning_behavior_test_results: TestResults
     winning_benchmarking_test_results: TestResults
     benchmark_details: Optional[list[BenchmarkDetail]] = None
+    original_async_throughput: Optional[int] = None
+    best_async_throughput: Optional[int] = None
 
-    def to_json(self) -> dict[str, Union[dict[str, dict[str, int]], int, str, Optional[list[BenchmarkDetail]]]]:
+    def to_json(self) -> dict[str, Union[str, int, dict[str, dict[str, int]], list[BenchmarkDetail], None]]:
         report_table = {
             test_type.to_name(): result
             for test_type, result in self.winning_behavior_test_results.get_test_pass_fail_report_by_type().items()
             if test_type.to_name()
         }
 
-        return {
+        result: dict[str, Union[str, int, dict[str, dict[str, int]], list[BenchmarkDetail], None]] = {
             "optimization_explanation": self.optimization_explanation,
             "best_runtime": humanize_runtime(self.best_runtime),
             "original_runtime": humanize_runtime(self.original_runtime),
@@ -42,6 +44,12 @@ def to_json(self) -> dict[str, Union[dict[str, dict[str, int]], int, str, Option
             "benchmark_details": self.benchmark_details if self.benchmark_details else None,
         }
 
+        if self.original_async_throughput is not None and self.best_async_throughput is not None:
+            result["original_async_throughput"] = str(self.original_async_throughput)
+            result["best_async_throughput"] = str(self.best_async_throughput)
+
+        return result
+
 
 class FileDiffContent(BaseModel):
     oldContent: str  # noqa: N815
diff --git a/codeflash/optimization/function_optimizer.py b/codeflash/optimization/function_optimizer.py
index 7dc7f7dd3..1861bbe0a 100644
--- a/codeflash/optimization/function_optimizer.py
+++ b/codeflash/optimization/function_optimizer.py
@@ -607,26 +607,32 @@ def determine_best_candidate(
                         original_async_throughput=original_code_baseline.async_throughput,
                         best_throughput_until_now=None,
                     ) and quantity_of_tests_critic(candidate_result):
-                        tree.add("This candidate is faster than the original code. 🚀")  # TODO: Change this description
-                        tree.add(f"Original summed runtime: {humanize_runtime(original_code_baseline.runtime)}")
-                        tree.add(
-                            f"Best summed runtime: {humanize_runtime(candidate_result.best_test_runtime)} "
-                            f"(measured over {candidate_result.max_loop_count} "
-                            f"loop{'s' if candidate_result.max_loop_count > 1 else ''})"
-                        )
-                        tree.add(f"Speedup percentage: {perf_gain * 100:.1f}%")
-                        tree.add(f"Speedup ratio: {perf_gain + 1:.3f}X")
-                        if (
+                        # For async functions, prioritize throughput metrics over runtime
+                        is_async = (
                             original_code_baseline.async_throughput is not None
                             and candidate_result.async_throughput is not None
-                        ):
+                        )
+
+                        if is_async:
                             throughput_gain_value = throughput_gain(
                                 original_throughput=original_code_baseline.async_throughput,
                                 optimized_throughput=candidate_result.async_throughput,
                             )
+                            tree.add("This candidate has better async throughput than the original code. 🚀")
                             tree.add(f"Original async throughput: {original_code_baseline.async_throughput} executions")
                             tree.add(f"Optimized async throughput: {candidate_result.async_throughput} executions")
                             tree.add(f"Throughput improvement: {throughput_gain_value * 100:.1f}%")
+                            tree.add(f"Throughput ratio: {throughput_gain_value + 1:.3f}X")
+                        else:
+                            tree.add("This candidate is faster than the original code. 🚀")
+                            tree.add(f"Original summed runtime: {humanize_runtime(original_code_baseline.runtime)}")
+                            tree.add(
+                                f"Best summed runtime: {humanize_runtime(candidate_result.best_test_runtime)} "
+                                f"(measured over {candidate_result.max_loop_count} "
+                                f"loop{'s' if candidate_result.max_loop_count > 1 else ''})"
+                            )
+                            tree.add(f"Speedup percentage: {perf_gain * 100:.1f}%")
+                            tree.add(f"Speedup ratio: {perf_gain + 1:.3f}X")
                         line_profile_test_results = self.line_profiler_step(
                             code_context=code_context,
                             original_helper_code=original_helper_code,
@@ -681,22 +687,31 @@ def determine_best_candidate(
                                 )
                             )
                     else:
-                        tree.add(
-                            f"Summed runtime: {humanize_runtime(best_test_runtime)} "
-                            f"(measured over {candidate_result.max_loop_count} "
-                            f"loop{'s' if candidate_result.max_loop_count > 1 else ''})"
-                        )
-                        tree.add(f"Speedup percentage: {perf_gain * 100:.1f}%")
-                        tree.add(f"Speedup ratio: {perf_gain + 1:.3f}X")
-                        if (
+                        # For async functions, prioritize throughput metrics over runtime even for slow candidates
+                        is_async = (
                             original_code_baseline.async_throughput is not None
                             and candidate_result.async_throughput is not None
-                        ):
+                        )
+
+                        if is_async:
                             throughput_gain_value = throughput_gain(
                                 original_throughput=original_code_baseline.async_throughput,
                                 optimized_throughput=candidate_result.async_throughput,
                             )
-                            tree.add(f"Throughput gain: {throughput_gain_value * 100:.1f}%")
+                            tree.add(f"Async throughput: {candidate_result.async_throughput} executions")
+                            tree.add(f"Throughput change: {throughput_gain_value * 100:.1f}%")
+                            tree.add(
+                                f"(Runtime for reference: {humanize_runtime(best_test_runtime)} over "
+                                f"{candidate_result.max_loop_count} loop{'s' if candidate_result.max_loop_count > 1 else ''})"
+                            )
+                        else:
+                            tree.add(
+                                f"Summed runtime: {humanize_runtime(best_test_runtime)} "
+                                f"(measured over {candidate_result.max_loop_count} "
+                                f"loop{'s' if candidate_result.max_loop_count > 1 else ''})"
+                            )
+                            tree.add(f"Speedup percentage: {perf_gain * 100:.1f}%")
+                            tree.add(f"Speedup ratio: {perf_gain + 1:.3f}X")
 
                     if is_LSP_enabled():
                         lsp_log(LspMarkdownMessage(markdown=tree_to_markdown(tree)))
@@ -1502,7 +1517,8 @@ def process_review(
         raise_pr = not self.args.no_pr
         staging_review = self.args.staging_review
         opt_review_response = ""
-        if raise_pr or staging_review:
+        # Skip optimization review for async functions for now
+        if (raise_pr or staging_review) and not self.function_to_optimize.is_async:
             data["root_dir"] = git_root_dir()
             try:
                 opt_review_response = self.aiservice_client.get_optimization_review(
@@ -1510,8 +1526,12 @@ def process_review(
                 )
             except Exception as e:
                 logger.debug(f"optimization review response failed, investigate {e}")
-            data["optimization_review"] = opt_review_response
+        # Always set optimization_review in data (empty string for async functions)
+        data["optimization_review"] = opt_review_response
         if raise_pr and not staging_review and opt_review_response != "low":
+            # Ensure root_dir is set for PR creation (needed for async functions that skip opt_review)
+            if "root_dir" not in data:
+                data["root_dir"] = git_root_dir()
             data["git_remote"] = self.args.git_remote
             check_create_pr(**data)
         elif staging_review:
@@ -1579,15 +1599,11 @@ def establish_original_code_baseline(
         test_env = self.get_test_env(codeflash_loop_index=0, codeflash_test_iteration=0, codeflash_tracer_disable=1)
 
         if self.function_to_optimize.is_async:
-            from codeflash.code_utils.instrument_existing_tests import instrument_source_module_with_async_decorators
+            from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-            success, instrumented_source = instrument_source_module_with_async_decorators(
+            success = add_async_decorator_to_function(
                 self.function_to_optimize.file_path, self.function_to_optimize, TestingMode.BEHAVIOR
             )
-            if success and instrumented_source:
-                with self.function_to_optimize.file_path.open("w", encoding="utf8") as f:
-                    f.write(instrumented_source)
-                logger.debug(f"Applied async instrumentation to {self.function_to_optimize.file_path}")
 
         # Instrument codeflash capture
         with progress_bar("Running tests to establish original code behavior..."):
@@ -1632,19 +1648,11 @@ def establish_original_code_baseline(
             console.rule()
             with progress_bar("Running performance benchmarks..."):
                 if self.function_to_optimize.is_async:
-                    from codeflash.code_utils.instrument_existing_tests import (
-                        instrument_source_module_with_async_decorators,
-                    )
+                    from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-                    success, instrumented_source = instrument_source_module_with_async_decorators(
+                    add_async_decorator_to_function(
                         self.function_to_optimize.file_path, self.function_to_optimize, TestingMode.PERFORMANCE
                     )
-                    if success and instrumented_source:
-                        with self.function_to_optimize.file_path.open("w", encoding="utf8") as f:
-                            f.write(instrumented_source)
-                        logger.debug(
-                            f"Applied async performance instrumentation to {self.function_to_optimize.file_path}"
-                        )
 
                 try:
                     benchmarking_results, _ = self.run_and_parse_tests(
@@ -1767,19 +1775,11 @@ def run_optimized_candidate(
             for module_abspath in original_helper_code:
                 candidate_helper_code[module_abspath] = Path(module_abspath).read_text("utf-8")
             if self.function_to_optimize.is_async:
-                from codeflash.code_utils.instrument_existing_tests import (
-                    instrument_source_module_with_async_decorators,
-                )
+                from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-                success, instrumented_source = instrument_source_module_with_async_decorators(
+                add_async_decorator_to_function(
                     self.function_to_optimize.file_path, self.function_to_optimize, TestingMode.BEHAVIOR
                 )
-                if success and instrumented_source:
-                    with self.function_to_optimize.file_path.open("w", encoding="utf8") as f:
-                        f.write(instrumented_source)
-                    logger.debug(
-                        f"Applied async behavioral instrumentation to {self.function_to_optimize.file_path} for candidate {optimization_candidate_index}"
-                    )
 
             try:
                 instrument_codeflash_capture(
@@ -1820,19 +1820,11 @@ def run_optimized_candidate(
             if test_framework == "pytest":
                 # For async functions, instrument at definition site for performance benchmarking
                 if self.function_to_optimize.is_async:
-                    from codeflash.code_utils.instrument_existing_tests import (
-                        instrument_source_module_with_async_decorators,
-                    )
+                    from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-                    success, instrumented_source = instrument_source_module_with_async_decorators(
+                    add_async_decorator_to_function(
                         self.function_to_optimize.file_path, self.function_to_optimize, TestingMode.PERFORMANCE
                     )
-                    if success and instrumented_source:
-                        with self.function_to_optimize.file_path.open("w", encoding="utf8") as f:
-                            f.write(instrumented_source)
-                        logger.debug(
-                            f"Applied async performance instrumentation to {self.function_to_optimize.file_path} for candidate {optimization_candidate_index}"
-                        )
 
                 try:
                     candidate_benchmarking_results, _ = self.run_and_parse_tests(
diff --git a/codeflash/result/create_pr.py b/codeflash/result/create_pr.py
index 55f3713fd..f888f710a 100644
--- a/codeflash/result/create_pr.py
+++ b/codeflash/result/create_pr.py
@@ -220,6 +220,8 @@ def check_create_pr(
                 winning_behavior_test_results=explanation.winning_behavior_test_results,
                 winning_benchmarking_test_results=explanation.winning_benchmarking_test_results,
                 benchmark_details=explanation.benchmark_details,
+                original_async_throughput=explanation.original_async_throughput,
+                best_async_throughput=explanation.best_async_throughput,
             ),
             existing_tests=existing_tests_source,
             generated_tests=generated_original_test_source,
@@ -270,6 +272,8 @@ def check_create_pr(
                 winning_behavior_test_results=explanation.winning_behavior_test_results,
                 winning_benchmarking_test_results=explanation.winning_benchmarking_test_results,
                 benchmark_details=explanation.benchmark_details,
+                original_async_throughput=explanation.original_async_throughput,
+                best_async_throughput=explanation.best_async_throughput,
             ),
             existing_tests=existing_tests_source,
             generated_tests=generated_original_test_source,
diff --git a/codeflash/result/explanation.py b/codeflash/result/explanation.py
index 7b28f8ac1..23135a09a 100644
--- a/codeflash/result/explanation.py
+++ b/codeflash/result/explanation.py
@@ -30,8 +30,14 @@ class Explanation:
 
     @property
     def perf_improvement_line(self) -> str:
-        runtime_improvement = self.speedup
+        # speedup property already handles choosing between runtime and throughput
+        return f"{self.speedup_pct} improvement ({self.speedup_x} faster)."
 
+    @property
+    def speedup(self) -> float:
+        runtime_improvement = (self.original_runtime_ns / self.best_runtime_ns) - 1
+
+        # Use throughput improvement if we have async metrics and throughput is better
         if (
             self.original_async_throughput is not None
             and self.best_async_throughput is not None
@@ -43,15 +49,9 @@ def perf_improvement_line(self) -> str:
 
             # Use throughput metrics if throughput improvement is better or runtime got worse
             if throughput_improvement > runtime_improvement or runtime_improvement <= 0:
-                throughput_pct = f"{throughput_improvement * 100:,.0f}%"
-                throughput_x = f"{throughput_improvement + 1:,.2f}x"
-                return f"{throughput_pct} improvement ({throughput_x} faster)."
-
-        return f"{self.speedup_pct} improvement ({self.speedup_x} faster)."
+                return throughput_improvement
 
-    @property
-    def speedup(self) -> float:
-        return (self.original_runtime_ns / self.best_runtime_ns) - 1
+        return runtime_improvement
 
     @property
     def speedup_x(self) -> str:
@@ -68,21 +68,6 @@ def __str__(self) -> str:
         best_runtime_human = humanize_runtime(self.best_runtime_ns)
 
         # Determine if we're showing throughput or runtime improvements
-        runtime_improvement = self.speedup
-        is_using_throughput_metric = False
-
-        if (
-            self.original_async_throughput is not None
-            and self.best_async_throughput is not None
-            and self.original_async_throughput > 0
-        ):
-            throughput_improvement = throughput_gain(
-                original_throughput=self.original_async_throughput, optimized_throughput=self.best_async_throughput
-            )
-
-            if throughput_improvement > runtime_improvement or runtime_improvement <= 0:
-                is_using_throughput_metric = True
-
         benchmark_info = ""
 
         if self.benchmark_details:
@@ -123,7 +108,7 @@ def __str__(self) -> str:
             console.print(table)
             benchmark_info = cast("StringIO", console.file).getvalue() + "\n"  # Cast for mypy
 
-        if is_using_throughput_metric:
+        if self.original_async_throughput is not None and self.best_async_throughput is not None:
             performance_description = (
                 f"Throughput improved from {self.original_async_throughput} to {self.best_async_throughput} operations/second "
                 f"(runtime: {original_runtime_human} → {best_runtime_human})\n\n"
diff --git a/codeflash/verification/concolic_testing.py b/codeflash/verification/concolic_testing.py
index 8f30a1562..83e9aed46 100644
--- a/codeflash/verification/concolic_testing.py
+++ b/codeflash/verification/concolic_testing.py
@@ -36,7 +36,7 @@ def generate_concolic_tests(
 
     if (
         test_cfg.concolic_test_root_dir
-        and isinstance(function_to_optimize_ast, (ast.FunctionDef, ast.AsyncFunctionDef))
+        and isinstance(function_to_optimize_ast, ast.FunctionDef)
         and has_typed_parameters(function_to_optimize_ast, function_to_optimize.parents)
     ):
         logger.info("Generating concolic opcode coverage tests for the original code…")
diff --git a/tests/test_async_run_and_parse_tests.py b/tests/test_async_run_and_parse_tests.py
index 9a97c4570..b273f135a 100644
--- a/tests/test_async_run_and_parse_tests.py
+++ b/tests/test_async_run_and_parse_tests.py
@@ -11,7 +11,7 @@
 from codeflash.models.models import CodePosition, FunctionParent, TestFile, TestFiles, TestingMode, TestType
 from codeflash.optimization.optimizer import Optimizer
 from codeflash.verification.instrument_codeflash_capture import instrument_codeflash_capture
-from codeflash.code_utils.instrument_existing_tests import instrument_source_module_with_async_decorators, inject_profiling_into_existing_test
+from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function, inject_profiling_into_existing_test
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
 def test_async_bubble_sort_behavior_results() -> None:
@@ -51,17 +51,16 @@ async def test_async_sort():
         func = FunctionToOptimize(function_name="async_sorter", parents=[], file_path=Path(fto_path), is_async=True)
 
         # For async functions, instrument the source module directly with decorators
-        source_success, instrumented_source = instrument_source_module_with_async_decorators(
+        source_success = add_async_decorator_to_function(
             fto_path, func, TestingMode.BEHAVIOR
         )
 
         assert source_success
-        assert instrumented_source is not None
+        
+        # Verify the file was modified
+        instrumented_source = fto_path.read_text("utf-8")
         assert '''import asyncio\nfrom typing import List, Union\n\nfrom codeflash.code_utils.codeflash_wrap_decorator import \\\n    codeflash_behavior_async\n\n\n@codeflash_behavior_async\nasync def async_sorter(lst: List[Union[int, float]]) -> List[Union[int, float]]:\n    """\n    Async bubble sort implementation for testing.\n    """\n    print("codeflash stdout: Async sorting list")\n    \n    await asyncio.sleep(0.01)\n    \n    n = len(lst)\n    for i in range(n):\n        for j in range(0, n - i - 1):\n            if lst[j] > lst[j + 1]:\n                lst[j], lst[j + 1] = lst[j + 1], lst[j]\n    \n    result = lst.copy()\n    print(f"result: {result}")\n    return result\n\n\nclass AsyncBubbleSorter:\n    """Class with async sorting method for testing."""\n    \n    async def sorter(self, lst: List[Union[int, float]]) -> List[Union[int, float]]:\n        """\n        Async bubble sort implementation within a class.\n        """\n        print("codeflash stdout: AsyncBubbleSorter.sorter() called")\n        \n        # Add some async delay\n        await asyncio.sleep(0.005)\n        \n        n = len(lst)\n        for i in range(n):\n            for j in range(0, n - i - 1):\n                if lst[j] > lst[j + 1]:\n                    lst[j], lst[j + 1] = lst[j + 1], lst[j]\n        \n        result = lst.copy()\n        return result\n''' in instrumented_source
 
-        # Write the instrumented source back
-        fto_path.write_text(instrumented_source, "utf-8")
-
         # Add codeflash capture
         instrument_codeflash_capture(func, {}, tests_root)
 
@@ -179,16 +178,16 @@ async def test_async_class_sort():
             is_async=True,
         )
 
-        source_success, instrumented_source = instrument_source_module_with_async_decorators(
+        source_success = add_async_decorator_to_function(
             fto_path, func, TestingMode.BEHAVIOR
         )
 
         assert source_success
-        assert instrumented_source is not None
+        
+        # Verify the file was modified
+        instrumented_source = fto_path.read_text("utf-8")
         assert "@codeflash_behavior_async" in instrumented_source
 
-        fto_path.write_text(instrumented_source, "utf-8")
-
         instrument_codeflash_capture(func, {}, tests_root)
 
         opt = Optimizer(
@@ -293,16 +292,16 @@ async def test_async_perf():
         func = FunctionToOptimize(function_name="async_sorter", parents=[], file_path=Path(fto_path), is_async=True)
 
         # Instrument the source module with async performance decorators
-        source_success, instrumented_source = instrument_source_module_with_async_decorators(
+        source_success = add_async_decorator_to_function(
             fto_path, func, TestingMode.PERFORMANCE
         )
 
         assert source_success
-        assert instrumented_source is not None
+        
+        # Verify the file was modified
+        instrumented_source = fto_path.read_text("utf-8")
         assert '''import asyncio\nfrom typing import List, Union\n\nfrom codeflash.code_utils.codeflash_wrap_decorator import \\\n    codeflash_performance_async\n\n\n@codeflash_performance_async\nasync def async_sorter(lst: List[Union[int, float]]) -> List[Union[int, float]]:\n    """\n    Async bubble sort implementation for testing.\n    """\n    print("codeflash stdout: Async sorting list")\n    \n    await asyncio.sleep(0.01)\n    \n    n = len(lst)\n    for i in range(n):\n        for j in range(0, n - i - 1):\n            if lst[j] > lst[j + 1]:\n                lst[j], lst[j + 1] = lst[j + 1], lst[j]\n    \n    result = lst.copy()\n    print(f"result: {result}")\n    return result\n\n\nclass AsyncBubbleSorter:\n    """Class with async sorting method for testing."""\n    \n    async def sorter(self, lst: List[Union[int, float]]) -> List[Union[int, float]]:\n        """\n        Async bubble sort implementation within a class.\n        """\n        print("codeflash stdout: AsyncBubbleSorter.sorter() called")\n        \n        # Add some async delay\n        await asyncio.sleep(0.005)\n        \n        n = len(lst)\n        for i in range(n):\n            for j in range(0, n - i - 1):\n                if lst[j] > lst[j + 1]:\n                    lst[j], lst[j + 1] = lst[j + 1], lst[j]\n        \n        result = lst.copy()\n        return result\n''' == instrumented_source
 
-        fto_path.write_text(instrumented_source, "utf-8")
-
         instrument_codeflash_capture(func, {}, tests_root)
 
         opt = Optimizer(
@@ -397,12 +396,14 @@ async def async_error_function(lst):
 
         func = FunctionToOptimize(function_name="async_error_function", parents=[], file_path=Path(fto_path), is_async=True)
 
-        source_success, instrumented_source = instrument_source_module_with_async_decorators(
+        source_success = add_async_decorator_to_function(
             fto_path, func, TestingMode.BEHAVIOR
         )
 
         assert source_success
-        assert instrumented_source is not None
+        
+        # Verify the file was modified
+        instrumented_source = fto_path.read_text("utf-8")
         
         expected_instrumented_source = """import asyncio
 from typing import List, Union
@@ -459,8 +460,6 @@ async def async_error_function(lst):
     raise ValueError("Test error")
 """
         assert expected_instrumented_source == instrumented_source
-
-        fto_path.write_text(instrumented_source, "utf-8")
         instrument_codeflash_capture(func, {}, tests_root)
 
         opt = Optimizer(
@@ -554,12 +553,11 @@ async def test_async_multi():
 
         func = FunctionToOptimize(function_name="async_sorter", parents=[], file_path=Path(fto_path), is_async=True)
 
-        source_success, instrumented_source = instrument_source_module_with_async_decorators(
+        source_success = add_async_decorator_to_function(
             fto_path, func, TestingMode.BEHAVIOR
         )
 
         assert source_success
-        fto_path.write_text(instrumented_source, "utf-8")
         instrument_codeflash_capture(func, {}, tests_root)
 
         opt = Optimizer(
@@ -670,12 +668,11 @@ async def test_async_edge_cases():
 
         func = FunctionToOptimize(function_name="async_sorter", parents=[], file_path=Path(fto_path), is_async=True)
 
-        source_success, instrumented_source = instrument_source_module_with_async_decorators(
+        source_success = add_async_decorator_to_function(
             fto_path, func, TestingMode.BEHAVIOR
         )
 
         assert source_success
-        fto_path.write_text(instrumented_source, "utf-8")
         instrument_codeflash_capture(func, {}, tests_root)
 
         opt = Optimizer(
@@ -973,17 +970,17 @@ async def test_mixed_sorting():
 
         async_func = FunctionToOptimize(function_name="async_merge_sort", parents=[], file_path=Path(mixed_fto_path), is_async=True)
 
-        source_success, instrumented_source = instrument_source_module_with_async_decorators(
+        source_success = add_async_decorator_to_function(
             mixed_fto_path, async_func, TestingMode.BEHAVIOR
         )
 
         assert source_success
-        assert instrumented_source is not None
+        
+        # Verify the file was modified
+        instrumented_source = mixed_fto_path.read_text("utf-8")
         assert "@codeflash_behavior_async" in instrumented_source
         assert "async def async_merge_sort" in instrumented_source
         assert "def sync_quick_sort" in instrumented_source  # Should preserve sync function
-
-        mixed_fto_path.write_text(instrumented_source, "utf-8")
         instrument_codeflash_capture(async_func, {}, tests_root)
 
         opt = Optimizer(
diff --git a/tests/test_instrument_async_tests.py b/tests/test_instrument_async_tests.py
index bd526ecc6..16332ee3e 100644
--- a/tests/test_instrument_async_tests.py
+++ b/tests/test_instrument_async_tests.py
@@ -54,7 +54,7 @@ def temp_dir():
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
-def test_async_decorator_application_behavior_mode():
+def test_async_decorator_application_behavior_mode(temp_dir):
     async_function_code = '''
 import asyncio
 
@@ -78,18 +78,22 @@ async def async_function(x: int, y: int) -> int:
     return x * y
 '''
 
+    test_file = temp_dir / "test_async.py"
+    test_file.write_text(async_function_code)
+
     func = FunctionToOptimize(
-        function_name="async_function", file_path=Path("test_async.py"), parents=[], is_async=True
+        function_name="async_function", file_path=test_file, parents=[], is_async=True
     )
 
-    modified_code, decorator_added = add_async_decorator_to_function(async_function_code, func, TestingMode.BEHAVIOR)
+    decorator_added = add_async_decorator_to_function(test_file, func, TestingMode.BEHAVIOR)
 
     assert decorator_added
+    modified_code = test_file.read_text()
     assert modified_code.strip() == expected_decorated_code.strip()
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
-def test_async_decorator_application_performance_mode():
+def test_async_decorator_application_performance_mode(temp_dir):
     async_function_code = '''
 import asyncio
 
@@ -113,18 +117,22 @@ async def async_function(x: int, y: int) -> int:
     return x * y
 '''
 
+    test_file = temp_dir / "test_async.py"
+    test_file.write_text(async_function_code)
+
     func = FunctionToOptimize(
-        function_name="async_function", file_path=Path("test_async.py"), parents=[], is_async=True
+        function_name="async_function", file_path=test_file, parents=[], is_async=True
     )
 
-    modified_code, decorator_added = add_async_decorator_to_function(async_function_code, func, TestingMode.PERFORMANCE)
+    decorator_added = add_async_decorator_to_function(test_file, func, TestingMode.PERFORMANCE)
 
     assert decorator_added
+    modified_code = test_file.read_text()
     assert modified_code.strip() == expected_decorated_code.strip()
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
-def test_async_class_method_decorator_application():
+def test_async_class_method_decorator_application(temp_dir):
     async_class_code = '''
 import asyncio
 
@@ -162,21 +170,25 @@ def sync_method(self, a: int, b: int) -> int:
         return a - b
 '''
 
+    test_file = temp_dir / "test_async.py"
+    test_file.write_text(async_class_code)
+
     func = FunctionToOptimize(
         function_name="async_method",
-        file_path=Path("test_async.py"),
+        file_path=test_file,
         parents=[{"name": "Calculator", "type": "ClassDef"}],
         is_async=True,
     )
 
-    modified_code, decorator_added = add_async_decorator_to_function(async_class_code, func, TestingMode.BEHAVIOR)
+    decorator_added = add_async_decorator_to_function(test_file, func, TestingMode.BEHAVIOR)
 
     assert decorator_added
+    modified_code = test_file.read_text()
     assert modified_code.strip() == expected_decorated_code.strip()
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
-def test_async_decorator_no_duplicate_application():
+def test_async_decorator_no_duplicate_application(temp_dir):
     already_decorated_code = '''
 from codeflash.code_utils.codeflash_wrap_decorator import codeflash_behavior_async
 import asyncio
@@ -188,28 +200,17 @@ async def async_function(x: int, y: int) -> int:
     return x * y
 '''
 
-    expected_reformatted_code = '''
-import asyncio
-
-from codeflash.code_utils.codeflash_wrap_decorator import \\
-    codeflash_behavior_async
-
-
-@codeflash_behavior_async
-async def async_function(x: int, y: int) -> int:
-    """Already decorated async function."""
-    await asyncio.sleep(0.01)
-    return x * y
-'''
+    test_file = temp_dir / "test_async.py"
+    test_file.write_text(already_decorated_code)
 
     func = FunctionToOptimize(
-        function_name="async_function", file_path=Path("test_async.py"), parents=[], is_async=True
+        function_name="async_function", file_path=test_file, parents=[], is_async=True
     )
 
-    modified_code, decorator_added = add_async_decorator_to_function(already_decorated_code, func, TestingMode.BEHAVIOR)
+    decorator_added = add_async_decorator_to_function(test_file, func, TestingMode.BEHAVIOR)
 
+    # Should not add duplicate decorator
     assert not decorator_added
-    assert modified_code.strip() == expected_reformatted_code.strip()
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
@@ -247,20 +248,20 @@ async def test_async_function():
     func = FunctionToOptimize(function_name="async_function", parents=[], file_path=Path("my_module.py"), is_async=True)
 
     # First instrument the source module
-    from codeflash.code_utils.instrument_existing_tests import instrument_source_module_with_async_decorators
+    from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-    source_success, instrumented_source = instrument_source_module_with_async_decorators(
+    source_success = add_async_decorator_to_function(
         source_file, func, TestingMode.BEHAVIOR
     )
 
     assert source_success is True
-    assert instrumented_source is not None
+    
+    # Verify the file was modified
+    instrumented_source = source_file.read_text()
     assert "@codeflash_behavior_async" in instrumented_source
     assert "from codeflash.code_utils.codeflash_wrap_decorator import" in instrumented_source
     assert "codeflash_behavior_async" in instrumented_source
 
-    source_file.write_text(instrumented_source)
-
     success, instrumented_test_code = inject_profiling_into_existing_test(
         test_file, [CodePosition(8, 18), CodePosition(11, 19)], func, temp_dir, "pytest", mode=TestingMode.BEHAVIOR
     )
@@ -304,22 +305,21 @@ async def test_async_function():
     func = FunctionToOptimize(function_name="async_function", parents=[], file_path=Path("my_module.py"), is_async=True)
 
     # First instrument the source module
-    from codeflash.code_utils.instrument_existing_tests import instrument_source_module_with_async_decorators
+    from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-    source_success, instrumented_source = instrument_source_module_with_async_decorators(
+    source_success = add_async_decorator_to_function(
         source_file, func, TestingMode.PERFORMANCE
     )
 
     assert source_success is True
-    assert instrumented_source is not None
+    
+    # Verify the file was modified
+    instrumented_source = source_file.read_text()
     assert "@codeflash_performance_async" in instrumented_source
     # Check for the import with line continuation formatting
     assert "from codeflash.code_utils.codeflash_wrap_decorator import" in instrumented_source
     assert "codeflash_performance_async" in instrumented_source
 
-    # Write the instrumented source back
-    source_file.write_text(instrumented_source)
-
     # Now test the full pipeline with source module path
     success, instrumented_test_code = inject_profiling_into_existing_test(
         test_file, [CodePosition(8, 18)], func, temp_dir, "pytest", mode=TestingMode.PERFORMANCE
@@ -371,23 +371,22 @@ async def test_mixed_functions():
         function_name="async_function", parents=[], file_path=Path("my_module.py"), is_async=True
     )
 
-    from codeflash.code_utils.instrument_existing_tests import instrument_source_module_with_async_decorators
+    from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-    source_success, instrumented_source = instrument_source_module_with_async_decorators(
+    source_success = add_async_decorator_to_function(
         source_file, async_func, TestingMode.BEHAVIOR
     )
 
     assert source_success
-    assert instrumented_source is not None
+    
+    # Verify the file was modified
+    instrumented_source = source_file.read_text()
     assert "@codeflash_behavior_async" in instrumented_source
     assert "from codeflash.code_utils.codeflash_wrap_decorator import" in instrumented_source
     assert "codeflash_behavior_async" in instrumented_source
     # Sync function should remain unchanged
     assert "def sync_function(x: int, y: int) -> int:" in instrumented_source
 
-    # Write instrumented source back
-    source_file.write_text(instrumented_source)
-
     success, instrumented_test_code = inject_profiling_into_existing_test(
         test_file,
         [CodePosition(8, 18), CodePosition(11, 19)],
@@ -403,7 +402,7 @@ async def test_mixed_functions():
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
-def test_async_function_qualified_name_handling():
+def test_async_function_qualified_name_handling(temp_dir):
     nested_async_code = '''
 import asyncio
 
@@ -415,14 +414,17 @@ async def nested_async_method(self, x: int) -> int:
             return x * 2
 '''
 
+    test_file = temp_dir / "test_nested.py"
+    test_file.write_text(nested_async_code)
+
     func = FunctionToOptimize(
         function_name="nested_async_method",
-        file_path=Path("test_nested.py"),
+        file_path=test_file,
         parents=[{"name": "OuterClass", "type": "ClassDef"}, {"name": "InnerClass", "type": "ClassDef"}],
         is_async=True,
     )
 
-    modified_code, decorator_added = add_async_decorator_to_function(nested_async_code, func, TestingMode.BEHAVIOR)
+    decorator_added = add_async_decorator_to_function(test_file, func, TestingMode.BEHAVIOR)
 
     expected_output = (
         """import asyncio
@@ -441,11 +443,13 @@ async def nested_async_method(self, x: int) -> int:
 """
     )
 
+    assert decorator_added
+    modified_code = test_file.read_text()
     assert modified_code.strip() == expected_output.strip()
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
-def test_async_decorator_with_existing_decorators():
+def test_async_decorator_with_existing_decorators(temp_dir):
     """Test async decorator application when function already has other decorators."""
     decorated_async_code = '''
 import asyncio
@@ -464,13 +468,17 @@ async def async_function(x: int, y: int) -> int:
     return x * y
 '''
 
+    test_file = temp_dir / "test_async.py"
+    test_file.write_text(decorated_async_code)
+
     func = FunctionToOptimize(
-        function_name="async_function", file_path=Path("test_async.py"), parents=[], is_async=True
+        function_name="async_function", file_path=test_file, parents=[], is_async=True
     )
 
-    modified_code, decorator_added = add_async_decorator_to_function(decorated_async_code, func, TestingMode.BEHAVIOR)
+    decorator_added = add_async_decorator_to_function(test_file, func, TestingMode.BEHAVIOR)
 
     assert decorator_added
+    modified_code = test_file.read_text()
     # Should add codeflash decorator above existing decorators
     assert "@codeflash_behavior_async" in modified_code
     assert "@my_decorator" in modified_code
@@ -481,25 +489,30 @@ async def async_function(x: int, y: int) -> int:
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
-def test_sync_function_not_affected_by_async_logic():
+def test_sync_function_not_affected_by_async_logic(temp_dir):
     sync_function_code = '''
 def sync_function(x: int, y: int) -> int:
     """Regular sync function."""
     return x + y
 '''
 
+    test_file = temp_dir / "test_sync.py"
+    test_file.write_text(sync_function_code)
+
     sync_func = FunctionToOptimize(
         function_name="sync_function",
-        file_path=Path("test_sync.py"),
+        file_path=test_file,
         parents=[],
         is_async=False,
     )
 
-    modified_code, decorator_added = add_async_decorator_to_function(
-        sync_function_code, sync_func, TestingMode.BEHAVIOR
+    decorator_added = add_async_decorator_to_function(
+        test_file, sync_func, TestingMode.BEHAVIOR
     )
 
     assert not decorator_added
+    # File should not be modified for sync functions
+    modified_code = test_file.read_text()
     assert modified_code == sync_function_code
 
 @pytest.mark.skipif(sys.platform == "win32", reason="pending support for asyncio on windows")
@@ -545,18 +558,18 @@ async def test_multiple_calls():
     )
 
     # First instrument the source module with async decorators
-    from codeflash.code_utils.instrument_existing_tests import instrument_source_module_with_async_decorators
+    from codeflash.code_utils.instrument_existing_tests import add_async_decorator_to_function
 
-    source_success, instrumented_source = instrument_source_module_with_async_decorators(
+    source_success = add_async_decorator_to_function(
         source_file, func, TestingMode.BEHAVIOR
     )
 
     assert source_success
-    assert instrumented_source is not None
+    
+    # Verify the file was modified
+    instrumented_source = source_file.read_text()
     assert "@codeflash_behavior_async" in instrumented_source
 
-    source_file.write_text(instrumented_source)
-
     import ast
 
     tree = ast.parse(test_code_multiple_calls)
diff --git a/uv.lock b/uv.lock
index 4259924e7..1177e7333 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,7 +2,8 @@ version = 1
 revision = 3
 requires-python = ">=3.9"
 resolution-markers = [
-    "python_full_version >= '3.13'",
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
     "python_full_version == '3.12.*'",
     "python_full_version == '3.11.*'",
     "python_full_version == '3.10.*'",
@@ -36,11 +37,11 @@ wheels = [
 
 [[package]]
 name = "asttokens"
-version = "3.0.0"
+version = "3.0.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/4a/e7/82da0a03e7ba5141f05cce0d302e6eed121ae055e0456ca228bf693984bc/asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7", size = 61978, upload-time = "2024-11-30T04:30:14.439Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload-time = "2025-11-15T16:43:48.578Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/25/8a/c46dcc25341b5bce5472c718902eb3d38600a903b14fa6aeecef3f21a46f/asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2", size = 26918, upload-time = "2024-11-30T04:30:10.946Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload-time = "2025-11-15T16:43:16.109Z" },
 ]
 
 [[package]]
@@ -72,11 +73,11 @@ wheels = [
 
 [[package]]
 name = "black"
-version = "25.9.0"
+version = "25.11.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "click", version = "8.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "click", version = "8.3.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
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 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
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+    "python_full_version >= '3.14'",
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     { name = "codeflash-benchmark" },
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     { name = "pydantic" },
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 [package.dev-dependencies]
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-    { name = "pre-commit" },
-    { name = "pytest-asyncio" },
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+    { name = "pre-commit", version = "4.4.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "pytest-asyncio", version = "1.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "pytest-asyncio", version = "1.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
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     { name = "types-cffi" },
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+    { name = "jax", version = "0.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
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     { name = "pandas" },
     { name = "pyrsistent" },
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-    { name = "torch" },
+    { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
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+    { name = "pytest", version = "9.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
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+resolution-markers = [
+    "python_full_version >= '3.9.2' and python_full_version < '3.10'",
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