diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index acfe1490b2..fd7aa1a14c 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -11,7 +11,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        julia-version: ["1.6", "1.8", "1.9"]
+        julia-version: ["1.6", "1.9", "1.10"]
         os: [ubuntu-latest, macOS-latest, windows-latest]
     steps:
       - uses: actions/checkout@v4
diff --git a/src/solvers/augmented_Lagrangian_method.jl b/src/solvers/augmented_Lagrangian_method.jl
index 42a7c0ef72..0d0f2acb09 100644
--- a/src/solvers/augmented_Lagrangian_method.jl
+++ b/src/solvers/augmented_Lagrangian_method.jl
@@ -318,8 +318,8 @@ function augmented_Lagrangian_method!(
     evaluation::AbstractEvaluationType=AllocatingEvaluation(),
     ϵ::Real=1e-3,
     ϵ_min::Real=1e-6,
-    ϵ_exponent=1 / 100,
-    θ_ϵ=(ϵ_min / ϵ)^(ϵ_exponent),
+    ϵ_exponent::Real=1 / 100,
+    θ_ϵ::Real=(ϵ_min / ϵ)^(ϵ_exponent),
     μ::Vector=ones(length(get_inequality_constraints(M, cmo, p))),
     μ_max::Real=20.0,
     λ::Vector=ones(length(get_equality_constraints(M, cmo, p))),
@@ -332,9 +332,9 @@ function augmented_Lagrangian_method!(
     sub_cost=AugmentedLagrangianCost(cmo, ρ, μ, λ),
     sub_grad=AugmentedLagrangianGrad(cmo, ρ, μ, λ),
     sub_kwargs=(;),
-    sub_stopping_criterion=StopAfterIteration(300) |
-                           StopWhenGradientNormLess(ϵ) |
-                           StopWhenStepsizeLess(1e-8),
+    sub_stopping_criterion::StoppingCriterion=StopAfterIteration(300) |
+                                              StopWhenGradientNormLess(ϵ) |
+                                              StopWhenStepsizeLess(1e-8),
     sub_state::AbstractManoptSolverState=decorate_state!(
         QuasiNewtonState(
             M,
@@ -359,9 +359,9 @@ function augmented_Lagrangian_method!(
             sub_kwargs...,
         ),
     ),
-    stopping_criterion::StoppingCriterion=StopAfterIteration(300) | (
-        StopWhenSmallerOrEqual(:ϵ, ϵ_min) & StopWhenChangeLess(1e-10)
-    ),
+    stopping_criterion::StoppingCriterion=StopAfterIteration(300) |
+                                          StopWhenSmallerOrEqual(:ϵ, ϵ_min) |
+                                          StopWhenChangeLess(1e-10),
     kwargs...,
 ) where {O<:Union{ConstrainedManifoldObjective,AbstractDecoratedManifoldObjective}}
     alms = AugmentedLagrangianMethodState(
diff --git a/test/solvers/test_augmented_lagrangian.jl b/test/solvers/test_augmented_lagrangian.jl
index f10eda564d..9b156eae69 100644
--- a/test/solvers/test_augmented_lagrangian.jl
+++ b/test/solvers/test_augmented_lagrangian.jl
@@ -16,27 +16,6 @@ using LinearAlgebra: I, tr
         p0 = project(M, ones(d))
         sol = augmented_Lagrangian_method(M, f, grad_f, p0; g=g, grad_g=grad_g)
         @test distance(M, sol, v0) < 8 * 1e-4
-        if isnan(distance(M, sol, v0))
-            print(sol)
-            augmented_Lagrangian_method(
-                M,
-                f,
-                grad_f,
-                p0;
-                g=g,
-                grad_g=grad_g,
-                debug=[
-                    :Iteration,
-                    :Cost,
-                    :Stop,
-                    :Iterate,
-                    " | ",
-                    (:Change, "Δp : %1.5e"),
-                    1,
-                    "\n",
-                ],
-            )
-        end
         sol2 = copy(M, p0)
         augmented_Lagrangian_method!(M, f, grad_f, sol2; g=g, grad_g=grad_g)
         @test sol2 == sol