diff --git a/docs/pages.jl b/docs/pages.jl
index 9db75654f..762377418 100644
--- a/docs/pages.jl
+++ b/docs/pages.jl
@@ -11,5 +11,5 @@ pages = ["index.md",
     "Solvers" => Any["solvers/solvers.md"],
     "Advanced" => Any["advanced/developing.md"
                       "advanced/custom.md"],
-    "Release Notes" => "release_notes.md"
+    "Release Notes" => "release_notes.md",
 ]
diff --git a/docs/src/release_notes.md b/docs/src/release_notes.md
index 1e8514115..fcb5336bf 100644
--- a/docs/src/release_notes.md
+++ b/docs/src/release_notes.md
@@ -2,9 +2,9 @@
 
 ## v2.0
 
-* `LinearCache` changed from immutable to mutable. With this, the out of place interfaces like
-  `set_A` were deprecated for simply mutating the cache, `cache.A = ...`. This fixes some
-  correctness checks and makes the package more robust while improving performance.
-* The default algorithm is now type-stable and does not rely on a dynamic dispatch for the choice.
-* IterativeSolvers.jl and KrylovKit.jl were made into extension packages. 
-* Documentation of the solvers has changed to docstrings
\ No newline at end of file
+  - `LinearCache` changed from immutable to mutable. With this, the out of place interfaces like
+    `set_A` were deprecated for simply mutating the cache, `cache.A = ...`. This fixes some
+    correctness checks and makes the package more robust while improving performance.
+  - The default algorithm is now type-stable and does not rely on a dynamic dispatch for the choice.
+  - IterativeSolvers.jl and KrylovKit.jl were made into extension packages.
+  - Documentation of the solvers has changed to docstrings
diff --git a/src/LinearSolve.jl b/src/LinearSolve.jl
index c773fe92c..35b42e6c1 100644
--- a/src/LinearSolve.jl
+++ b/src/LinearSolve.jl
@@ -66,6 +66,29 @@ include("init.jl")
 include("extension_algs.jl")
 include("deprecated.jl")
 
+@generated function SciMLBase.solve!(cache::LinearCache, alg::AbstractFactorization;
+                                     kwargs...)
+    quote
+        if cache.isfresh
+            fact = do_factorization(alg, cache.A, cache.b, cache.u)
+            cache.cacheval = fact
+            cache.isfresh = false
+        end
+        y = _ldiv!(cache.u, get_cacheval(cache, $(Meta.quot(defaultalg_symbol(alg)))),
+                   cache.b)
+
+        #=
+        retcode = if LinearAlgebra.issuccess(fact)
+            SciMLBase.ReturnCode.Success
+        else
+            SciMLBase.ReturnCode.Failure
+        end
+        SciMLBase.build_linear_solution(alg, y, nothing, cache; retcode = retcode)
+        =#
+        SciMLBase.build_linear_solution(alg, y, nothing, cache)
+    end
+end
+
 @static if INCLUDE_SPARSE
     include("factorization_sparse.jl")
 end
@@ -82,7 +105,6 @@ isopenblas() = IS_OPENBLAS[]
 
 import PrecompileTools
 
-#=
 PrecompileTools.@compile_workload begin
     A = rand(4, 4)
     b = rand(4)
@@ -110,7 +132,6 @@ PrecompileTools.@compile_workload begin
     sol = solve(prob) # in case sparspak is used as default
     sol = solve(prob, SparspakFactorization())
 end
-=#
 
 export LUFactorization, SVDFactorization, QRFactorization, GenericFactorization,
        GenericLUFactorization, SimpleLUFactorization, RFLUFactorization,
diff --git a/src/factorization.jl b/src/factorization.jl
index a07eef238..b95c7ded7 100644
--- a/src/factorization.jl
+++ b/src/factorization.jl
@@ -6,29 +6,6 @@ function _ldiv!(x::Vector, A::Factorization, b::Vector)
     ldiv!(A, x)
 end
 
-@generated function SciMLBase.solve!(cache::LinearCache, alg::AbstractFactorization;
-                                     kwargs...)
-    quote
-        if cache.isfresh
-            fact = do_factorization(alg, cache.A, cache.b, cache.u)
-            cache.cacheval = fact
-            cache.isfresh = false
-        end
-        y = _ldiv!(cache.u, get_cacheval(cache, $(Meta.quot(defaultalg_symbol(alg)))),
-                   cache.b)
-
-        #=
-        retcode = if LinearAlgebra.issuccess(fact)
-            SciMLBase.ReturnCode.Success
-        else
-            SciMLBase.ReturnCode.Failure
-        end
-        SciMLBase.build_linear_solution(alg, y, nothing, cache; retcode = retcode)
-        =#
-        SciMLBase.build_linear_solution(alg, y, nothing, cache)
-    end
-end
-
 #RF Bad fallback: will fail if `A` is just a stand-in
 # This should instead just create the factorization type.
 function init_cacheval(alg::AbstractFactorization, A, b, u, Pl, Pr, maxiters::Int, abstol,