Preparing an AI Sales Bot for the World: The Great Repository Cleanup

I’d been working on the AI Agents Salebot project for weeks—building features, fixing bugs, pushing code through our internal development cycle. But as I looked at the repository one afternoon, I realized something crucial: the project was scattered. Internal notes lived in docs/archive/, secrets could leak through git if someone wasn’t careful, and the licensing situation was murky at best. It was time to get serious about making this thing real.

My task was clear but demanding: prepare the entire project for public release on GitLab. Not just a quick push—a proper cleanup. Documentation needed to be polished, authorship and copyright clarified, and the repository structure had to reflect professional standards. The author, Pavel Anatolyevich Borisov, wanted the project to live under a copyleft license, not the restrictive MIT that was originally listed. I chose GPL-3.0—the gold standard for open-source freedom—and set about updating every reference.

The technical work unfolded methodically. I updated the README to credit the author and prominently display the GPL-3.0 license. Then came the .gitignore cleanup—the messy part. The project had vosk models (speech recognition libraries that are massive), local configuration files, and those internal development notes that had no business being exposed. I added exclusion rules for data/, vosk-model-* directories, docs/archive/, and sensitive .env files. Each line in .gitignore represented a potential security leak prevented.

Git initialization came next: git init --initial-branch=main --object-format=sha1. I configured the remote pointing to the GitLab instance, staged 94 files across 17 source modules, and created the initial commit. The repository structure sprawled across organized directories—bot logic, tests, documentation, utility scripts, even an env.example template for future developers.

Here’s where reality checked my confidence: the push failed. The GitLab server at gitlab.dev.borisovai.ru wasn’t resolving. I’d done everything correctly on my end—the repository was pristine, the commit was solid (29,708 lines of code across 94 files)—but infrastructure beyond my control stood in the way. It’s a reminder that even perfect technical execution sometimes depends on factors you can’t control.

The satisfaction came from knowing that everything was ready. When that server came back online, the push would succeed. The project was now properly licensed, documented, and structured. As one programmer once said: Why did the programmer quit his job? Because he didn’t get arrays. 😄

Me? I was getting something better—a properly prepared codebase ready to meet the world.