Orchestrate engineering automation end-to-end
Declarative workflows that replace fragile shell scripts with observable, policy-governed processes.
See it in action
Run a real dev-cycle pipeline — from AI planning to commit. Click "Run Pipeline" and approve each gate.
Standard AI-assisted development pipeline with plan → implement → review → commit flow.
name: deploy-production
trigger: push:main
steps:
- id: build
run: pnpm run build
parallel: true
- id: test
run: pnpm run test
needs: [build]
- id: review
plugin: @kb-labs/ai-review
mode: full
- id: deploy
run: ./scripts/deploy.sh
needs: [test, review]
retry: 3Define workflows as code
YAML-defined workflows with built-in retry, timeout, and rollback. No more shell scripts.
- Step-by-step orchestration with dependency resolution
- Built-in retry and timeout policies
- Automatic rollback on failure
- Human approval gates for critical steps
Three primitives. Any pipeline.
Every workflow — from a simple dev-cycle to enterprise compliance — is composed from just three building blocks.
builtin:shell
Run any command — agent invocations, build scripts, API calls, notifications. The universal execution primitive.
builtin:gate
Automatic decision point. Routes the pipeline based on step output: continue, fail, or rework loop with max iterations.
builtin:approval
Human-in-the-loop checkpoint. Pauses the pipeline until a person approves or rejects — with optional Slack notifications.
Why teams choose workflows
Core advantages of the KB Labs workflow engine.
Declarative
Define what, not how. YAML workflows are readable, reviewable, and version-controlled.
Observable
Real-time execution dashboard with structured logs, timing data, and decision audit trails.
Composable
Build complex flows from simple, reusable steps. Share patterns across teams.
Ready to replace script chaos with workflows?
Get started with KB Labs workflow engine in minutes.