diff --git a/.JuliaFormatter.toml b/.JuliaFormatter.toml
deleted file mode 100644
index 8a19c90..0000000
--- a/.JuliaFormatter.toml
+++ /dev/null
@@ -1,2 +0,0 @@
-style = "sciml"
-annotate_untyped_fields_with_any = false
diff --git a/.github/workflows/FormatCheck.yml b/.github/workflows/FormatCheck.yml
index 7e46c8d..6762c6f 100644
--- a/.github/workflows/FormatCheck.yml
+++ b/.github/workflows/FormatCheck.yml
@@ -1,13 +1,19 @@
-name: "Format Check"
+name: format-check
 
 on:
   push:
     branches:
+      - 'master'
       - 'main'
+      - 'release-'
     tags: '*'
   pull_request:
 
 jobs:
-  format-check:
-    name: "Format Check"
-    uses: "SciML/.github/.github/workflows/format-check.yml@v1"
+  runic:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: fredrikekre/runic-action@v1
+        with:
+          version: '1'
diff --git a/ext/FastPowerEnzymeExt.jl b/ext/FastPowerEnzymeExt.jl
index bca131b..2349034 100644
--- a/ext/FastPowerEnzymeExt.jl
+++ b/ext/FastPowerEnzymeExt.jl
@@ -5,7 +5,9 @@ import FastPower: fastpower
 using Enzyme
 using Enzyme.EnzymeRules: FwdConfig
 
-Enzyme.EnzymeRules.@easy_rule(FastPower.fastpower(x, y),
-    (y * fastpower(x, y - 1), Ω * log(x)))
+Enzyme.EnzymeRules.@easy_rule(
+    FastPower.fastpower(x, y),
+    (y * fastpower(x, y - 1), Ω * log(x))
+)
 
 end
diff --git a/ext/FastPowerMonteCarloMeasurementsExt.jl b/ext/FastPowerMonteCarloMeasurementsExt.jl
index d161cb1..9398620 100644
--- a/ext/FastPowerMonteCarloMeasurementsExt.jl
+++ b/ext/FastPowerMonteCarloMeasurementsExt.jl
@@ -3,9 +3,11 @@ module FastPowerMonteCarloMeasurementsExt
 using FastPower
 using MonteCarloMeasurements
 
-@inline function FastPower.fastpower(x::MonteCarloMeasurements.AbstractParticles,
-        y::MonteCarloMeasurements.AbstractParticles)
-    x^y
+@inline function FastPower.fastpower(
+        x::MonteCarloMeasurements.AbstractParticles,
+        y::MonteCarloMeasurements.AbstractParticles
+    )
+    return x^y
 end
 
 end
diff --git a/test/runtests.jl b/test/runtests.jl
index 6761f56..d2b24d3 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -7,7 +7,7 @@ const GROUP = get(ENV, "GROUP", "All")
 if GROUP == "All" || GROUP == "Core"
     @testset "Fast log2" begin
         for x in 0.001:0.001:1.2 # (0, 1+something] is the domain which a controller uses
-            @test log2(x)≈fastlog2(Float32(x)) atol=1e-3
+            @test log2(x) ≈ fastlog2(Float32(x)) atol = 1.0e-3
         end
     end
 
@@ -15,31 +15,31 @@ if GROUP == "All" || GROUP == "Core"
         @test fastpower(1, 1) isa Float64
         @test fastpower(1.0, 1.0) isa Float64
         errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:1, y in 0.08:0.001:0.5]
-        @test maximum(errors) < 1e-4
+        @test maximum(errors) < 1.0e-4
 
         errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:1, y in 0.08:0.001:1000.0]
-        @test maximum(errors) < 1e-3
+        @test maximum(errors) < 1.0e-3
 
         errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:100, y in 0.08:0.001:1.0]
-        @test maximum(errors) < 1e-2
+        @test maximum(errors) < 1.0e-2
     end
 
     using ForwardDiff, ReverseDiff, Tracker, Mooncake
 
     function mooncake_derivative(f, x)
-        Mooncake.value_and_gradient!!(Mooncake.build_rrule(f, x), f, x)[2][2]
+        return Mooncake.value_and_gradient!!(Mooncake.build_rrule(f, x), f, x)[2][2]
     end
     @testset "Fast pow - Other AD Engines" begin
         x = 1.5123233245141
         y = 0.22352354326
         @test ForwardDiff.derivative(x -> fastpower(x, x + y), x) ≈
-              ForwardDiff.derivative(x -> ^(x, x + y), x)
+            ForwardDiff.derivative(x -> ^(x, x + y), x)
         @test Tracker.gradient(x -> fastpower(x, x + y), x)[1] ≈
-              Tracker.gradient(x -> ^(x, x + y), x)[1]
+            Tracker.gradient(x -> ^(x, x + y), x)[1]
         @test ReverseDiff.gradient(x -> fastpower(x[1], x[1] + y), [x])[1] ≈
-              ReverseDiff.gradient(x -> ^(x[1], x[1] + y), [x])[1]
+            ReverseDiff.gradient(x -> ^(x[1], x[1] + y), [x])[1]
         @test mooncake_derivative(x -> fastpower(x, x + y), x) ≈
-              mooncake_derivative(x -> ^(x, x + y), x)
+            mooncake_derivative(x -> ^(x, x + y), x)
     end
 end
 
@@ -48,12 +48,12 @@ if GROUP == "All" || GROUP == "Enzyme"
 
     @testset "Fast pow - Enzyme forward rule" begin
         @testset for RT in (Duplicated, DuplicatedNoNeed),
-            Tx in (Const, Duplicated),
-            Ty in (Const, Duplicated)
+                Tx in (Const, Duplicated),
+                Ty in (Const, Duplicated)
 
             x = 1.0
             y = 0.5
-            test_forward(fastpower, RT, (x, Tx), (y, Ty), atol = 1e-4, rtol = 1e-3)
+            test_forward(fastpower, RT, (x, Tx), (y, Ty), atol = 1.0e-4, rtol = 1.0e-3)
         end
     end
 
@@ -61,7 +61,7 @@ if GROUP == "All" || GROUP == "Enzyme"
         @testset for RT in (Active,), Tx in (Active, Const), Ty in (Active, Const)
             x = 1.0
             y = 0.5
-            test_reverse(fastpower, RT, (x, Tx), (y, Ty), atol = 1e-4, rtol = 1e-3)
+            test_reverse(fastpower, RT, (x, Tx), (y, Ty), atol = 1.0e-4, rtol = 1.0e-3)
         end
     end
 end