diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml
index c1bd30fe7e..49156a1648 100644
--- a/.github/workflows/CI.yml
+++ b/.github/workflows/CI.yml
@@ -95,16 +95,16 @@ jobs:
         continue-on-error: ${{ matrix.version == 'nightly' }}
         id: build_libenzyme
         run: |
-          julia --project=deps -e 'using Pkg; Pkg.instantiate()'
-          julia --project=deps deps/build_local.jl
+          julia --color=yes --project=deps -e 'using Pkg; Pkg.instantiate()'
+          julia --color=yes --project=deps deps/build_local.jl
           cp LocalPreferences.toml test/
       - name: Build libEnzyme MacOS
         if: ${{ matrix.libEnzyme == 'local' && matrix.os == 'macOS-latest'}}
         continue-on-error: ${{ matrix.version == 'nightly' }}
         id: build_libenzyme_mac
         run: |
-          julia --project=deps -e 'using Pkg; Pkg.instantiate()'
-          SDKROOT=`xcrun --show-sdk-path` julia --project=deps deps/build_local.jl
+          julia --color=yes --project=deps -e 'using Pkg; Pkg.instantiate()'
+          SDKROOT=`xcrun --show-sdk-path` julia --color=yes --project=deps deps/build_local.jl
           cp LocalPreferences.toml test/
       - uses: julia-actions/julia-buildpkg@v1
         if: matrix.version != 'nightly' || steps.build_libenzyme.outcome == 'success' || steps.build_libenzyme_mac.outcome == 'success'
@@ -287,19 +287,18 @@ jobs:
           version: '1'
       - uses: julia-actions/cache@v2
       - run: |
-          julia --project=docs -e '
+          julia --color=yes --project=docs -e '
             using Pkg
-            Pkg.develop([PackageSpec(path="lib/EnzymeCore"), PackageSpec(path="lib/EnzymeTestUtils"), PackageSpec(path=pwd())])
             Pkg.instantiate()'
         env:
           JULIA_PKG_SERVER_REGISTRY_PREFERENCE: eager
       - run: |
-          julia --project=docs -e '
+          julia --color=yes --project=docs -e '
             using Documenter: DocMeta, doctest
             using Enzyme
             DocMeta.setdocmeta!(Enzyme, :DocTestSetup, :(using Enzyme); recursive=true)
             doctest(Enzyme)'
-      - run: julia --project=docs docs/make.jl
+      - run: julia --color=yes --project=docs docs/make.jl
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }}
diff --git a/.gitignore b/.gitignore
index 09ad77f58c..6f1a0e7a15 100644
--- a/.gitignore
+++ b/.gitignore
@@ -7,5 +7,6 @@ lib/EnzymeCore/Manifest.toml
 /test/Manifest.toml
 /docs/Manifest.toml
 /docs/build/
+/docs/src/generated/
 
 .vscode
diff --git a/docs/Project.toml b/docs/Project.toml
index 14301cf64d..a59b66cfe1 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -1,9 +1,16 @@
 [deps]
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
+EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
+EnzymeTestUtils = "12d8515a-0907-448a-8884-5fe00fdf1c5a"
 Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [compat]
 Documenter = "1"
 Literate = "2"
+
+[sources]
+Enzyme = {path = ".."}
+EnzymeCore = {path = "../lib/EnzymeCore"}
+EnzymeTestUtils = {path = "../lib/EnzymeTestUtils"}
diff --git a/docs/make.jl b/docs/make.jl
index 4f2eea837d..06b1373006 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -1,6 +1,3 @@
-pushfirst!(LOAD_PATH, joinpath(@__DIR__, "..")) # add Enzyme to environment stack
-pushfirst!(LOAD_PATH, joinpath(@__DIR__, "..", "lib")) # add EnzymeCore to environment stack
-
 using Enzyme
 using EnzymeCore
 using EnzymeTestUtils
diff --git a/docs/src/index.md b/docs/src/index.md
index 3c1c31b4af..b631435997 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -227,7 +227,7 @@ Enzyme provides convenience functions for second-order derivative computations,
 
 Unlike [`autodiff`](@ref) and [`gradient`](@ref), a mode is not specified. Here, Enzyme will choose to perform forward over reverse mode (generally the fastest for this type of operation).
 
-```jldoctest hvp; filter = r"([0-9]+\\.[0-9]{8})[0-9]+" => s"\\1***"
+```jldoctest hvp; filter = r"([0-9]+\.[0-9]{8})[0-9]+" => s"\1***"
 julia> f(x) = sin(x[1] * x[2]);
 
 julia> hvp(f, [2.0, 3.0], [5.0, 2.7])
@@ -238,7 +238,7 @@ julia> hvp(f, [2.0, 3.0], [5.0, 2.7])
 
 Enzyme also provides an in-place variant which will store the hessian vector product in a pre-allocated array (this will, however, still allocate another array for storing an intermediate gradient).
 
-```jldoctest hvp2; filter = r"([0-9]+\\.[0-9]{8})[0-9]+" => s"\\1***"
+```jldoctest hvp2; filter = r"([0-9]+\.[0-9]{8})[0-9]+" => s"\1***"
 julia> f(x) = sin(x[1] * x[2])
 f (generic function with 1 method)
 
@@ -254,7 +254,7 @@ julia> res
 
 Finally. Enzyme provides a second in-place variant which simultaneously computes both the hessian vector product, and the gradient. This function uses no additional allocation, and is much more efficient than separately computing the hvp and the gradient.
 
-```jldoctest hvp3; filter = r"([0-9]+\\.[0-9]{8})[0-9]+" => s"\\1***"
+```jldoctest hvp3; filter = r"([0-9]+\.[0-9]{8})[0-9]+" => s"\1***"
 julia> f(x) = sin(x[1] * x[2]);
 
 julia> res = Vector{Float64}(undef, 2);