AI workers that know when to ask for help. Seamless escalation to humans with SLA enforcement, zero context loss, and automatic resume.
In Kaidera, human reviewers and AI workers share the same routing interface. A human is registered with execution_mode='human' and appears in the project roster alongside AI workers. The system routes tasks based on capability, role, availability, and review authority.
When an AI worker reaches its autonomy limit or encounters a task that requires human judgement, it escalates automatically. The routing engine matches the task to the right human by role — business analyst, architect, legal, compliance.
Every human task has a configurable SLA window. The system sends automatic reminders when time is running out, escalates on breach, and tracks response metrics for accountability.
When an AI task is escalated, the worker suspends cleanly. All conversation context, working memory, and partial results are preserved in a Redis breadcrumb. When the human responds, the worker resumes from the exact point of suspension — zero information loss.
Human review task scheduling runs on a background task scheduler with Redis as the message broker. A dedicated periodic scheduler checks SLA windows every 5 minutes, sends reminders, and triggers breach escalations — all without any manual intervention.
AI workers and human review endpoints can expose A2A-compatible Agent Card metadata when cross-platform discovery is required. This enables standardised discovery and handoff communication across organisational boundaries.
Task worker and scheduler run as separate Kubernetes deployments alongside the API and frontend. Each pod is non-root (UID 1001), resource-limited, and monitored via ArgoCD GitOps.
Your AI worker team lives in the platform — but your developers live in their editor. Section 16 bridges the gap: native VS Code extension, MCP server protocol, and an OpenAI-compatible API that works with any IDE.
Explore IDE Integration→Compatible Environments
The VS Code extension is available now on the VS Code Marketplace. MCP-compatible IDEs connect via the Kaidera MCP server endpoint. Any IDE with OpenAI API support works via the compatibility layer.
