𝗧𝗵𝗲 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗿𝗻 𝗪𝗵𝗼 𝗡𝗲𝘃𝗲𝗿 𝗦𝗹𝗲𝗲𝗽𝘀

𝗧𝗵𝗲 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗿𝗻 𝗪𝗵𝗼 𝗡𝗲𝘃𝗲𝗿 𝗦𝗹𝗲𝗲𝗽𝘀

Experienced engineers spent hours on repetitive tasks. They tracked changes ticket by ticket. They updated user docs manually.

I built an AI pipeline to fix this. It handles impact analysis and rewriting. It uses GitHub Actions.

The system follows one rule: plan first, act second. A person reviews every step.

Here is how it works:

• It pulls data from Jira, GitLab, and GitBook.
• A vision model describes screenshots.
• The AI finds pages needing updates.
• A manager approves the plan in GitHub Issues.
• The AI rewrites only changed sections.
• A human reviews the final draft.

I solved two technical problems:

• Access: I used a self-hosted EC2 runner to reach internal VPN services.
• Speed: I added a caching layer for page summaries. This reduced costs.

The main lesson: integration is harder than intelligence.

Good architecture beats a perfect prompt. Review gates and planning stages create quality. Use this approach for your AI projects.

Source: https://dev.to/qapilot/the-documentation-intern-that-never-sleeps-1cmb

Optional learning community: https://t.me/GyaanSetuAi