diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 6804013..a3bd0bd 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -1,54 +1,41 @@
 name: CI
 
 on:
-  pull_request:
+  push:
     branches:
       - main
+  pull_request:
+    types: [opened, synchronize, reopened]
+
+permissions:
+  actions: write
+  contents: read
 
 jobs:
   test:
-    runs-on: ${{ matrix.os }}
+    runs-on:
+      labels: cuda
     strategy:
-        matrix:
-            os: [ubuntu-latest, windows-latest, self-hosted]
+      matrix:
+        julia-version: ['1']
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
-
-      - name: Set up Julia
-        uses: julia-actions/setup-julia@v2
+      - uses: julia-actions/install-juliaup@v2
         with:
-          version: '1.11'
-
+          channel: ${{ matrix.julia-version }}
       - name: Cache Julia artifacts
         uses: actions/cache@v3
-        with:
-          path: ~/.julia/artifacts
-          key: artifacts-${{ runner.os }}-${{ hashFiles('**/Project.toml') }}-${{ hashFiles('**/Manifest.toml') }}
-          restore-keys: artifacts-${{ runner.os }}-
-
-      - name: Cache Julia packages
-        uses: actions/cache@v3
-        with:
-          path: ~/.julia/compiled
-          key: compiled-${{ runner.os }}-${{ hashFiles('**/Project.toml') }}-${{ hashFiles('**/Manifest.toml') }}
-          restore-keys: compiled-${{ runner.os }}-
-
-
-      - name: Install package dependencies
-        run: |
-          julia --project=. -e 'using Pkg; Pkg.add(PackageSpec(url="https://github.com/lanl-ansi/GOC3Benchmark.jl")); Pkg.instantiate(); Pkg.precompile()'
-
-      - name: Check for CUDA availability
-        id: check-cuda
-        shell: bash
-        run: |
-          if command -v nvidia-smi &> /dev/null; then
-            echo "cuda=true" >> $GITHUB_OUTPUT
-          else
-            echo "cuda=false" >> $GITHUB_OUTPUT
-          fi
-
       - name: Run tests
+        shell: julia --project=. --color=yes {0}
         run: |
-          julia --project=. -e 'using Pkg; Pkg.test(; test_args=["cuda=${{ steps.check-cuda.outputs.cuda }}"])'
\ No newline at end of file
+          using Pkg;
+          Pkg.Registry.update()
+          Pkg.test(; coverage=true)
+      - uses: julia-actions/julia-processcoverage@v1
+        with:
+          directories: src
+      - uses: codecov/codecov-action@v5
+        with:
+          file: lcov.info
+          token: ${{ secrets.CODECOV_TOKEN }}
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index d2fc95a..1e9b4b2 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -11,15 +11,24 @@ jobs:
   build:
     runs-on:
       labels: cuda
+    strategy:
+      matrix:
+        julia-version: ['1']
     steps:
-      - uses: actions/checkout@v2
-      - uses: julia-actions/setup-julia@latest
+      - uses: actions/checkout@v4
+      - uses: julia-actions/install-juliaup@v2
         with:
-          version: '1'
-      - name: Install dependencies
-        run: julia --project=docs/ -e 'using Pkg; Pkg.add(PackageSpec(url="https://github.com/lanl-ansi/GOC3Benchmark.jl")); Pkg.Registry.update(); Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate(); Pkg.precompile()'
-      - name: Build and deploy
+          channel: ${{ matrix.julia-version }}
+      - name: Cache Julia artifacts
+        uses: actions/cache@v3
+      - name: Instantiate the dependencies
+        shell: julia --project=docs/ --color=yes {0}
+        run: |
+          using Pkg;
+          Pkg.Registry.update();
+          Pkg.instantiate();
+      - name: Build and deploy documentation
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # If authenticating with GitHub Actions token
           DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }} # If authenticating with SSH deploy key
-        run: julia --project=. docs/make.jl
+        run: julia --project=docs/ --color=yes docs/make.jl
diff --git a/Project.toml b/Project.toml
index 1d75bf8..e9a854d 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,5 @@
 name = "ExaModelsPower"
 uuid = "2fff4b78-0b6c-428d-bac8-85ccea8c4bdf"
-authors = ["Sungho Shin <sshin@anl.gov>"]
 version = "0.1.0"
 
 [deps]
@@ -17,7 +16,7 @@ Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 ExaModels = "~0.9"
 PowerModels = "~0.21"
 JLD2 = "~0.5"
-CUDA = "~5"
+CUDA = "5 - 5.8.2"
 MadNLP = "~0.8"
 MadNLPGPU = "~0.7"
 
@@ -33,3 +32,6 @@ NLPModelsJuMP = "792afdf1-32c1-5681-94e0-d7bf7a5df49e"
 
 [targets]
 test = ["Test", "MadNLP", "MadNLPGPU", "KernelAbstractions", "CUDA", "Ipopt", "JuMP", "NLPModelsJuMP"]
+
+[sources]
+GOC3Benchmark = {url = "https://github.com/lanl-ansi/GOC3Benchmark.jl", rev = "588f356"}	
diff --git a/README.md b/README.md
index 3a94602..f024ebc 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,11 @@
 # ExaModelsPower.jl
 ExaModelsPower.jl is an optimal power flow models using ExaModels.jl
 
-![CI](https://github.com/exanauts/ExaModelsPower.jl/actions/workflows/ci.yml/badge.svg)
+[![CI](https://github.com/MadNLP/ExaModelsPower.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/MadNLP/ExaModelsPower.jl/actions/workflows/ci.yml)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
-[![doc](https://img.shields.io/badge/docs-stable-blue.svg)](https://exanauts.github.io/ExaModelsPower.jl/stable) 
-[![doc](https://img.shields.io/badge/docs-dev-blue.svg)](https://exanauts.github.io/ExaModelsPower.jl/dev) 
+[![doc](https://img.shields.io/badge/docs-stable-blue.svg)](https://madsuite.org/ExaModelsPower.jl/stable/) 
+[![doc](https://img.shields.io/badge/docs-dev-blue.svg)](https://madsuite.org/ExaModelsPower.jl/dev/) 
+[![codecov](https://codecov.io/gh/MadNLP/ExaModelsPower.jl/graph/badge.svg?token=ybOObxcXhB)](https://codecov.io/gh/MadNLP/ExaModelsPower.jl)
 
 ## Usage
 ### Static optimal power flow
diff --git a/docs/Project.toml b/docs/Project.toml
index 80182ed..2d90f1a 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -6,3 +6,10 @@ CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
 MadNLP = "2621e9c9-9eb4-46b1-8089-e8c72242dfb6"
 MadNLPGPU = "d72a61cc-809d-412f-99be-fd81f4b8a598"
+ExaModelsPower = "2fff4b78-0b6c-428d-bac8-85ccea8c4bdf"
+
+[compat]
+CUDA = "5 - 5.8.2"
+
+[sources]
+ExaModelsPower = {path = ".."}