How it works
From your code to an operational assistant — without writing integration.
End-to-end view of the pipeline: from source upload to the AI running real operations per channel with the end user's identity.
Pipeline
Seven steps, from source to runtime
Connect the source
ZIP, Git (OAuth), or OpenAPI, and select the application architecture.
Ingestion
Backend (executable operations) and frontend (usage knowledge) + user manual.
Generation
The platform generates tools and skills curated for your system.
Materialization
The set becomes an MCP server + navigable manual.
Identity bridge
Configures the emulated authentication webhook.
Channels
Connects WhatsApp, Telegram, Teams, and the other channels.
Runtime
The AI executes with the user's identity and replies on the originating channel.
The maintenance loop
On every release, only what changed
It never rebuilds everything — it preserves accumulated refinements and makes each fix more effective than the last.
01
Trigger
02
Diff analysis
03
Incremental update
04
Validation
05
Versioned release
Architecture
Three real scenarios, one selector
Separate
Frontend and backend in distinct repositories; the two integrations are independent.
Monorepo
One Git connection with two paths (/api and /web). A commit that only touches the frontend doesn't regenerate backend tools.
Monolith
Laravel, Django, Rails, .NET MVC. One analysis extracts endpoints (routes/controllers) and interface flows (views/templates).
Safeguard
The sync never overwrites your adjustments
Every hand-edited tool can be marked as protected from automatic updates. Destructive operations require user confirmation in the chat. Each run is logged with diff, changes, tests, and a full log.
Connect once. The AI tracks every release.
Start free in the playground or book a demo.
Talk to BIOS · WhatsApp