Cite as: Real Problem AI problem “Why are teams still managing production prompts the way we managed scripts before Git existed?”. Opportunity score 6.5 out of 10 (severity 6, AI feasibility 8, market signal 6, competition gap 6). Category AI / Agents. Trend LLM. Source signal: Indie Hackers, Taha, 6 Jan 2026, "Prompt Chaos Is the New Technical Debt.". Canonical URL: https://www.realproblem.ai/archive/why-do-teams-manage-prompts-like-scripts-before-git-existed.
Why are teams still managing production prompts the way we managed scripts before Git existed?
Prompts have become production-critical logic, but most teams still handle them as scattered notes, copied text blocks, and files named 'final_v3_really_final.txt', with no rationale trail or diff history.
Who has it: Teams shipping LLM features who treat prompts as an afterthought instead of versioned code.
Evidence
The post describes teams handling prompts the way scripts were handled before Git, with scattered notes, copied text blocks and repeatedly renamed files.
Our summary of the public post linked below, not a quote. Nobody submitted it to Real Problem AI.
Indie Hackers, Taha, 6 Jan 2026, "Prompt Chaos Is the New Technical Debt."Why it is archived
Trimmed to 100-cap (lowest opportunity_score)
Scoring breakdown
Existing players
- Langfuse / PromptLayer · Prompt versioning exists but adoption is low outside AI-native teams.
- Git for prompt files · Tracks text diffs, not rationale, evals, or production linkage.
- Config files / Slack messages · Where most prompt changes actually live today, informally.
What they are missing
A lightweight prompt-versioning workflow that attaches a short rationale and eval result to every change, prevents silent divergence between team members' copies, and makes rollback as easy as a git revert.
Stack hint
#ATB14 · Canonical URL: https://www.realproblem.ai/archive/why-do-teams-manage-prompts-like-scripts-before-git-existed