diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 899df2d..e56d856 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -25,7 +25,7 @@ repos:
         language: system
         types_or: [c++, c]
         args: [
-          "--enable=warning,portability",
+          "--enable=warning,portability,performance",
           "--suppress=missingIncludeSystem",
           "--suppress=unusedFunction",
           "--suppress=normalCheckLevelMaxBranches",
diff --git a/examples/pytorch_integration.cpp b/examples/pytorch_integration.cpp
index b474121..a38dcf5 100644
--- a/examples/pytorch_integration.cpp
+++ b/examples/pytorch_integration.cpp
@@ -10,10 +10,9 @@
 struct TinyNet : torch::nn::Module {
   torch::nn::Linear fc1{nullptr}, fc2{nullptr};
 
-  TinyNet() {
-    fc1 = register_module("fc1", torch::nn::Linear(10, 32));
-    fc2 = register_module("fc2", torch::nn::Linear(32, 1));
-  }
+  TinyNet()
+      : fc1(register_module("fc1", torch::nn::Linear(10, 32))),
+        fc2(register_module("fc2", torch::nn::Linear(32, 1))) {}
 
   torch::Tensor forward(torch::Tensor x) {
     x = torch::relu(fc1->forward(x));
diff --git a/examples/telemetry_and_inference.cpp b/examples/telemetry_and_inference.cpp
index 4357ec7..006f238 100644
--- a/examples/telemetry_and_inference.cpp
+++ b/examples/telemetry_and_inference.cpp
@@ -13,10 +13,9 @@
 struct RegressionNet : torch::nn::Module {
   torch::nn::Linear fc1{nullptr}, fc2{nullptr};
 
-  RegressionNet() {
-    fc1 = register_module("fc1", torch::nn::Linear(1, 16));
-    fc2 = register_module("fc2", torch::nn::Linear(16, 1));
-  }
+  RegressionNet()
+      : fc1(register_module("fc1", torch::nn::Linear(1, 16))),
+        fc2(register_module("fc2", torch::nn::Linear(16, 1))) {}
 
   torch::Tensor forward(torch::Tensor x) {
     x = torch::tanh(fc1->forward(x));
diff --git a/src/optimizer.cpp b/src/optimizer.cpp
index 33cea2d..9debf1d 100644
--- a/src/optimizer.cpp
+++ b/src/optimizer.cpp
@@ -86,13 +86,11 @@ FCESOptimizer::FCESOptimizer(std::vector<torch::Tensor> params,
       population_(config_.population_size, 10000, EliteStrategy::Cumulative,
                   false, false, false, false, false,
                   config_.direct_construction, config_.use_banach_fission),
-      fitness_engine_(config_.grokking_coefficient) {
-
-  evolution_manager_ = std::make_unique<EvolutionManager>(
-      population_, 50, config_.auto_population, config_.direct_construction);
-
-  spectral_sensor_ = std::make_unique<SpectralSensor>();
-
+      fitness_engine_(config_.grokking_coefficient),
+      evolution_manager_(std::make_unique<EvolutionManager>(
+          population_, 50, config_.auto_population,
+          config_.direct_construction)),
+      spectral_sensor_(std::make_unique<SpectralSensor>()) {
   // Initial RAM backup
   backup_to_ram();