Developer Uses Anthropic's Claude Code to Build Native macOS Driver for Windows-Only HP Printer

An India-based software engineer has successfully built a custom macOS driver for an unsupported HP printer using Anthropic's agentic command-line tool, Claude Code. The project demonstrates how generative artificial intelligence models are increasingly being applied to low-level systems engineering, enabling developers to overcome hardware compatibility limitations that previously required dedicated vendor support.

Developer Kuber Mehta engineered the driver specifically for the HP Laser 1008a, a budget desktop printer introduced in 2023. While Hewlett-Packard supplied official software drivers for Microsoft Windows and Linux operating systems upon the device's release, Apple's macOS was left completely unsupported. As first reported by TechRadar Pro, Mehta has published the complete source code to GitHub, along with an online transcript detailing his prompt-by-prompt interactions with the AI assistant.

The HP Laser 1008a presents significant technical hurdles for third-party driver development. The hardware is a rebadged Samsung host-based printer that relies on a proprietary raster graphics format known as SPL3. Unlike enterprise print hardware, the 1008a and its related sibling models—the HP Laser 1003 and 1006 a/w series—do not support standard page description languages like PostScript or Printer Command Language (PCL), nor do they feature built-in compatibility with Apple AirPrint.

To generate functional driver software without vendor documentation, Mehta utilized Claude Code configured with Anthropic's Opus 4.8 artificial intelligence model. The development workflow spanned roughly 30 to 40 iterative prompts. Throughout the session, the developer provided real-time feedback and technical corrections when the AI made incorrect assumptions about the system's underlying print stack and device communication protocols.

The reverse-engineering methodology involved analyzing error output generated directly by the hardware and establishing raw diagnostic communication channels with the printer. To achieve accurate print rendering, the developer and AI tool configured a Linux container environment capable of executing HP's official rastertospl codec. This step allowed the system to output native SPL3 data streams, which were then routed into a persistent background daemon designed to remain active across system reboots.

The final build was packaged into an open-source installer made available under the permissive MIT license. The software works by modifying SpliX, a long-standing open-source driver bundle for Unix-like operating systems. While SpliX natively handles legacy Samsung languages such as SPL2 and SPLc, Mehta's patch extends the package to translate print jobs into the modern SPL3 format required by the HP device family.

Following the initial release, the project underwent technical refinements to simplify deployment for end users. The latest iteration of the GitHub repository reduces the software footprint into a lightweight IOKit helper utility native to macOS. By eliminating external script dependencies including Python, pyusb, and libusb, the driver can now be compiled and installed swiftly using standard macOS Terminal commands.

Reflecting on the project, Mehta indicated that the AI-assisted build process deepened his own understanding of macOS system driver architecture. The accomplishment highlights a broader shift in software maintenance, showing how agentic coding assistants can significantly lower the barrier to entry for diagnostic reverse-engineering and hardware driver creation.