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What does 600,000+ lines of AI-generated code look like in the wild?
?️ What I Built (Still Private)
The project lives inside company infrastructure and isn’t public (yet).
But it’s real. And it works.
If I get approval, I’ll share everything — code, planning docs, prompt chains, and even some of the generated reports. Might take time, but it’s in progress.
? Code & Commit Stats
From the full project commit history:
But as I refined prompts and adjusted expectations, the implementation strategy matured.
Fewer rewrites, cleaner commits, better momentum.
What This Isn’t (But Still Is)
But it is:
Happy committing!
Let’s Compare Notes
Been through the AI dev trenches? Want to swap commit stats, prompting techniques, or chaos stories?
I’m always down to talk shop — just give me a minute to come up for air.
Still chasing approval for the repo, but if you’re curious (or skeptical), I’m open to questions, ideas, or even a friendly challenge.
This was Part 2 of the series.
If I get approval, I’ll follow up with sanitized prompt guides, redacted instruction templates, or maybe even a Copilot-powered case study... written by ChatGPT.
?️ What I Built (Still Private)
The project lives inside company infrastructure and isn’t public (yet).
But it’s real. And it works.
- NodeJS-based
- Structured with full test coverage
- Designed to be extended by others (once approved)
- Architecture evolved through prompt iteration
If I get approval, I’ll share everything — code, planning docs, prompt chains, and even some of the generated reports. Might take time, but it’s in progress.
? Code & Commit Stats
| Section | Files | Lines |
|---|---|---|
| Source Code | 19 | 2,417 |
| Tests | 25 | 5,424 |
| Config | 17 | 465 |
| GitHub (instructions + prompts) | 11 | 693 |
| Copilot Output (raw history + generated reports) | 52 | 597,908 |
| User Docs | 5 | 733 |
| Total | 129 | 607,640 |
? Git Commit Summary, those numbers are real.
From the full project commit history:
- Files changed: 514
- Lines added: 626,703
- Lines removed: 5,011
Several early Copilot hell loops led to entire archived branches in the beginning.
But as I refined prompts and adjusted expectations, the implementation strategy matured.
Fewer rewrites, cleaner commits, better momentum.
What This Isn’t (But Still Is)- Not production-ready
- Not public
- Not a product
But it is:
- A real, working proof of concept
- A hands-on case study
- Enterprise-driven architecture and implementation (yes, really)
- A patience-builder
- Magic + madness = perfect
Happy committing!
Let’s Compare NotesBeen through the AI dev trenches? Want to swap commit stats, prompting techniques, or chaos stories?
I’m always down to talk shop — just give me a minute to come up for air.
Still chasing approval for the repo, but if you’re curious (or skeptical), I’m open to questions, ideas, or even a friendly challenge.
This was Part 2 of the series.
If I get approval, I’ll follow up with sanitized prompt guides, redacted instruction templates, or maybe even a Copilot-powered case study... written by ChatGPT.