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An AI documentation platform that analyses codebases and generates always-up-to-date docs. Connect your repos, get documentation that actually matches your code.
docubotai.appTwinCurrent built DocubotAI, an AI documentation platform — live at docubotai.app since 2025. It is our own SaaS product, not a client project, born from a problem we kept seeing in every codebase: documentation written once and never updated, or worse, docs that actively contradicted the current code.
The platform connects to GitHub or Azure DevOps, analyses the codebase with AI, and keeps documentation synchronised through webhooks. When developers push changes, DocubotAI detects what changed and updates the relevant docs automatically. DocuAgent, a related tool, was merged into DocubotAI in January 2026.
GitHub / Azure DevOps
Connected repositories
Webhook ingest
Detects what changed on push
AI analysis
Understands structure & patterns
Multi-format export
Confluence, Wiki, PDF, Markdown
Repositories connect once; webhooks then drive everything. On each push, DocubotAI detects what changed and runs an AI analysis pass over the affected code to understand structure, dependencies, and patterns — not just signatures.
Generated documentation is exported into the formats teams already use, so docs fit existing workflows rather than forcing a new tool. The webhook-driven loop is the core idea: it removes the manual step that causes documentation drift in the first place.
Connect repositories directly. DocubotAI reads your codebase, understands the structure, and keeps documentation synchronised with every push.
Set up webhooks so documentation updates automatically when code changes. No manual triggers — push code, get updated docs.
Ask questions about your codebase in natural language. Answers are grounded in your actual code and documentation, not generic responses.
Export to Confluence, GitHub Wiki, PDF, or Markdown. Fits into your existing workflow without forcing tool changes.
Understands code patterns, dependencies, and architecture. Generates docs that reflect how the code actually works.
Continuous analysis ensures docs match the current state of the code, solving the drift problem at its root.
GitHub & Azure DevOps
Reads repositories and triggers on every push via webhooks.
Webhook pipeline
Push events drive automatic re-analysis and doc updates.
Confluence & Wiki export
Publishes docs into Confluence, GitHub Wiki, PDF, and Markdown.
Next.js
Full-stack framework
TypeScript
Type-safe development
OpenAI API
AI analysis and generation
PostgreSQL
Primary database
4
export formats
2
Git host integrations
2025
in production since
Live
at docubotai.app
Try the platform or reach out to discuss how automated documentation can save your team hours every week.
Reply within 24 hours — usually same day