Automate Infrastructure and Configuration Documentation

Infrastructure documentation is currently treated as an afterthought, leading to tribal knowledge bottlenecks and severe onboarding delays. Engineering teams and system administrators waste significant time reverse-engineering undocumented configuration changes, environment variables, and deployment scripts. The current process relies on manual updates that immediately fall out of sync with actual server states, costing agencies and enterprises expensive engineering hours.

The widespread adoption of infrastructure-as-code combined with recent advancements in large language models allows tools to accurately interpret configuration files and terminal commands. AI can now reliably translate complex server states into readable documentation, bridging the gap between code execution and human intent.

Rough estimate: The total addressable market encompasses the global DevOps and IT operations software market, valued in the billions. The serviceable obtainable market for a solo founder targeting mid-market agencies, open-source maintainers, and prosumers is likely in the $50M-$100M range, driven by the increasing willingness to pay for developer productivity and chore automation tools.