diff --git a/Project.toml b/Project.toml
index 73cc681..ebbe4ae 100644
--- a/Project.toml
+++ b/Project.toml
@@ -30,6 +30,7 @@ ForwardDiff = "0.10.36"
 Functors = "0.4.11"
 JET = "0.9.6"
 MLDataDevices = "1.0.0"
+ReTestItems = "1.24.0"
 ReverseDiff = "1.15.3"
 Test = "1.10"
 Tracker = "0.2.34"
@@ -37,10 +38,8 @@ Zygote = "0.6.70"
 julia = "1.10"
 
 [extras]
-Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
-Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
-ExplicitImports = "7d51a73a-1435-4ff3-83d9-f097790105c7"
 ReTestItems = "817f1d60-ba6b-4fd5-9520-3cf149f6a823"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Aqua", "Documenter", "ExplicitImports", "ReTestItems"]
+test = ["ReTestItems", "Test"]
diff --git a/src/autodiff.jl b/src/autodiff.jl
index 455d8d6..6e2b66d 100644
--- a/src/autodiff.jl
+++ b/src/autodiff.jl
@@ -25,7 +25,7 @@ function gradient(f::F, ad::AutoEnzyme{<:Enzyme.ReverseMode}, args...) where {F}
     Enzyme.autodiff(ad.mode, f, Enzyme.Active, args_activity...)
     return Tuple(map(enumerate(args)) do (i, x)
         needs_gradient(x) && return args_activity[i].dval
-        return CRC.ZeroTangent()
+        return CRC.NoTangent()
     end)
 end
 
@@ -78,6 +78,35 @@ function gradient(f::F, grad_fn::GFN, args...) where {F, GFN <: Function}
 end
 
 # Main Functionality to Test Gradient Correctness
+"""
+    test_gradients(f, args...; skip_backends=[], broken_backends=[], kwargs...)
+
+Test the gradients of `f` with respect to `args` using the specified backends.
+
+## Arguments
+
+  - `f`: The function to test the gradients of.
+  - `args`: The arguments to test the gradients of. Only `AbstractArray`s are considered
+    for gradient computation. Gradients wrt all other arguments are assumed to be
+    `NoTangent()`.
+
+## Keyword Arguments
+
+  - `skip_backends`: A list of backends to skip.
+  - `broken_backends`: A list of backends to treat as broken.
+  - `kwargs`: Additional keyword arguments to pass to `check_approx`.
+
+## Example
+
+```julia
+julia> f(x, y, z) = x .+ sum(abs2, y.t) + sum(y.x.z)
+
+julia> x = (; t=rand(10), x=(z=[2.0],))
+
+julia> test_gradients(f, 1.0, x, nothing)
+
+```
+"""
 function test_gradients(f, args...; skip_backends=[], broken_backends=[], kwargs...)
     on_gpu = get_device_type(args) isa AbstractGPUDevice
     total_length = mapreduce(__length, +, Functors.fleaves(args); init=0)
@@ -102,14 +131,14 @@ function test_gradients(f, args...; skip_backends=[], broken_backends=[], kwargs
     # Test the gradients
     ∂args_gt = gradient(f, backends[1], args...)  # Should be Zygote in most cases
 
-    @assert backends[1] ∉ broken_backends "first backend cannot be broken"
+    @assert backends[1]∉broken_backends "first backend cannot be broken"
 
     @testset "gradtest($(f))" begin
-        @testset "$(backends[1]) vs $(backend)" for backend in backends[2:end]
+        @testset "$(nameof(typeof(backends[1])))() vs $(nameof(typeof(backend)))()" for backend in backends[2:end]
             broken = backend in broken_backends
             @test begin
                 ∂args = allow_unstable() do
-                    gradient(f, backend, args...)
+                    return gradient(f, backend, args...)
                 end
                 check_approx(∂args, ∂args_gt; kwargs...)
             end broken=broken
diff --git a/src/jet.jl b/src/jet.jl
index db6f769..23963bd 100644
--- a/src/jet.jl
+++ b/src/jet.jl
@@ -7,7 +7,7 @@ const JET_TARGET_MODULES = Ref{Union{Nothing, Vector{String}}}(nothing)
 This sets `target_modules` for all JET tests when using [`@jet`](@ref).
 """
 function jet_target_modules!(list::Vector{String}; force::Bool=false)
-    if JET_TARGET_MODULES[] !== nothing && !force
+    if JET_TARGET_MODULES[] === nothing || (force && JET_TARGET_MODULES[] !== nothing)
         JET_TARGET_MODULES[] = list
         @info "JET_TARGET_MODULES set to $list"
         return list
diff --git a/test/unit_tests.jl b/test/unit_tests.jl
index e69de29..f435a4d 100644
--- a/test/unit_tests.jl
+++ b/test/unit_tests.jl
@@ -0,0 +1,13 @@
+@testitem "@jet" begin
+    LuxTestUtils.jet_target_modules!(["LuxTestUtils"])
+
+    @jet sum([1, 2, 3]) target_modules=(Base, Core)
+end
+
+@testitem "test_gradients" begin
+    f(x, y, z) = x .+ sum(abs2, y.t) + sum(y.x.z)
+
+    x = (; t=rand(10), x=(z=[2.0],))
+
+    test_gradients(f, 1.0, x, nothing)
+end