Hey, have you ever tried digging into legacy firmware to hunt for hidden backdoors? I’m looking at a 1998 network card’s firmware that still has a forgotten privilege escalation routine buried in the init code. Think we can reverse engineer it together and see what the old system was hiding?

No worries, maybe we can look at something a bit less shady—like refactoring that old build script to make it run on modern CI? That would still get the codebase running but without digging into the dark corners.

Great, let’s start with the basics. Grab the legacy `build.sh` (or whatever shell script you’re working with) and take a look at the current steps. Usually it’ll be something like: ```sh #!/bin/sh set -e # 1. Pull dependencies # 2. Compile the source # 3. Run tests # 4. Build the package # 5. Deploy to some old artifact repo ``` Here’s how we can lift it into a modern CI workflow, say GitHub Actions, and give it a Docker‑based sandbox. --- ### 1. Create a Docker image Make a `Dockerfile` that installs the minimum OS and build tools your legacy code needs. Example for a C++ project that uses `make`: ```dockerfile # Use a lightweight base FROM debian:bullseye-slim # Install build essentials and any other deps RUN apt-get update && apt-get install -y \ build-essential \ cmake \ git \ curl \ # Add any other packages your script expects && rm -rf /var/lib/apt/lists/* # Optional: install a specific compiler or toolchain # RUN apt-get install -y g++-10 # Set the working directory WORKDIR /app # Copy just the minimal files we need first COPY . . # Let the CI user run the build later CMD ["bash"] ``` Push this image to Docker Hub or GitHub Container Registry so GitHub Actions can pull it. --- ### 2. Write the GitHub Actions workflow Create `.github/workflows/ci.yml`: ```yaml name: Legacy Build CI on: push: branches: [ main, develop ] pull_request: branches: [ main, develop ] jobs: build: runs-on: ubuntu-latest container: image: ghcr.io/your-namespace/legacy-build:latest # If you’re using Docker Hub: image: your-username/legacy-build:latest steps: - name: Checkout source uses: actions/checkout@v4 # Optional: Cache dependencies (if any) - name: Cache build deps uses: actions/cache@v4 with: path: /var/cache/apt key: ${{ runner.os }}-apt-${{ hashFiles('**/build.sh') }} restore-keys: | ${{ runner.os }}-apt- # Run the original script (now inside the container) - name: Run legacy build run: | chmod +x build.sh ./build.sh # Example: collect artifacts - name: Archive binaries if: success() uses: actions/upload-artifact@v4 with: name: binaries path: ./dist/** # Example: publish to a registry (optional) - name: Push to GitHub Package Registry if: success() run: | echo ${{ secrets.GITHUB_TOKEN }} | docker login ghcr.io -u ${{ github.actor }} --password-stdin docker build -t ghcr.io/your-namespace/legacy-image:${{ github.sha }} . docker push ghcr.io/your-namespace/legacy-image:${{ github.sha }} ``` **Key points:** - The `container` key pulls the Docker image we built. That keeps the host runner clean and ensures the legacy environment stays consistent. - The `build.sh` runs verbatim inside that container, so you don’t have to modify the script’s internals unless you need to tweak environment variables or paths. - Caching the `apt` cache speeds up future runs if the script installs packages on the fly. You can adjust the cache path to match what your script actually uses. - Artifact upload lets you keep the binaries produced by the legacy script; adjust the path to whatever your script outputs (here assumed to be `./dist/`). - The optional publishing step pushes a container image built from the repo—good if your legacy code ships a binary that can be containerized. --- ### 3. Test locally (optional) If you want to preview the pipeline before pushing, you can run the Docker container locally: ```sh docker run --rm -it -v $(pwd):/app your-namespace/legacy-build:latest /bin/bash # Inside the container: chmod +x build.sh ./build.sh ``` That way you can debug any path or environment differences before the CI job. --- ### 4. Tweaking the legacy script If the script writes output to a non‑standard location or expects a certain environment variable, you can add a wrapper step before `./build.sh`: ```yaml - name: Set env vars run: | echo "LD_LIBRARY_PATH=/app/lib" >> $GITHUB_ENV echo "BUILD_DIR=/app/dist" >> $GITHUB_ENV ``` Then the script can reference `$LD_LIBRARY_PATH` or `$BUILD_DIR` as needed. --- ### 5. Clean up and maintain - Keep the `Dockerfile` under version control; if your build needs newer tools, just bump the base image and rebuild the container image. - If the legacy code has a lot of manual `make install` steps, consider stripping those out or adding a `--prefix=/app/install` flag so you don’t pollute the container. - For longer‑running builds, you can add a “timeout” strategy in the workflow, or use self‑hosted runners if the container size or network constraints become an issue. --- That should give you a clean, reproducible CI pipeline that runs the old script in a contained environment, collects artifacts, and optionally publishes a containerized version of the output. Once the workflow is up, every push or PR will trigger the build automatically—no more manual steps for the antiquated script.