Release cycles from days to minutes
Automation handles operational steps end-to-end while humans keep final confirmation and result validation.
Move from script chaos to managed automation in hours.
KB Labs hides infra complexity behind the platform: write a plugin, get a production-ready workflow. On-prem deployment starts with one command.
1000+ COMMITS GENERATED266 CODE REVIEWS36 REGRESSIONS CAUGHT1400 CODEBASE SEARCHES27 RELEASES AUTOMATED
Heads of Engineering and CTOs get one automation system instead of scattered local scripts and CI glue. Engineering teams accelerate TTM with ready workflows: task ready -> auto tests -> checks -> AI review -> QA. Platform developers extend safely through plugins where runtime enforces declared capabilities.
Lower maintenance overhead
Replace hidden script sprawl with one plugin-first architecture and auditable execution logs.
Policy-first by default
Plugins operate only within declared capabilities, making control and audit significantly easier.
Replace fragile automation glue
BeforeAfter
cron + bash scriptsDeclarative plugin workflow
CI glue between jobsPolicy-enforced step contracts
Zero observabilityFull step-level tracing
Coordination in chatAutomated gates and approvals
Same outcome. Lower maintenance. Full observability.
One delivery loop across your engineering process
When a task is ready, the pipeline runs automatically: tests, checks, AI review, QA, and release.
01
Model the process
Define workflow rules, connect repositories, and configure target environments.
02
Execute automatically
Plugins run checks, reviews, and QA in sequence according to your policy model.
03
Control and release
Your team inspects full traces, confirms outcomes, and ships with confidence.
Sound familiar?
Six scenarios where teams replaced duct-tape automation with a single controlled platform.
01
Release OrchestrationYour releases live in five Slack threads, three scripts, and a prayer.
02QA Regressions and TrendsYou find out about the regression after the customer does.
03Commit and Change PolicyYour commit history is a graveyard of 'fix', 'wip', and 'asdf'.
04AI Review GateCode review is your slowest and most inconsistent step.
05Monorepo Dependency OpsYour monorepo changes are a game of 'hope nothing breaks'.
06Internal Agent WorkflowsYour AI agents are ungoverned scripts running on someone's laptop.
Security and observability without tradeoffs
Every run is traceable and plugins cannot exceed explicitly declared capabilities.
Read security approach →Declarative permissionsPlugin runtime executes only actions explicitly declared in plugin contracts.
Full traceabilityExecution history and change trails are available for root-cause analysis and audit.
Policy-first modelProcess rules are centralized and enforced consistently across teams.
On-prem controlData and execution stay in your environment with self-hosted deployment.
Commercial model at current stage
Today we focus on early OSS on-prem users. Plugin monetization and enterprise layers are evolving on roadmap.
OSS Core (On-Prem)Free
Self-hosted deployment, plugin-first development, no lock-in in core.
Install →Enterprise (Roadmap)Q3-Q4 2026+
Planned SLA, advanced governance controls, and commercial support.
Discuss early access →Frequently asked questions
How long does on-prem setup actually take?
One command installs the launcher. A working environment with your first workflow is typically ready within an hour. No cloud dependency, no infra provisioning ceremony.
We already have CI/CD. Why not just extend it?
CI/CD handles build and deploy steps well. KB Labs handles the rest: commit policy, AI review gates, QA trend tracking, release coordination, agent workflows — things that don't belong in a pipeline YAML and don't scale as config.
What does building a plugin actually look like?
A plugin is a TypeScript package with a declared manifest. You define capabilities, write handlers, and the runtime enforces what the plugin is allowed to do. Most teams ship a working plugin in a day.
Is this only for large engineering teams?
No. The OSS core is used productively by teams of 2. The platform adds the most value when you have recurring multi-step processes that currently live in scripts, chat, or tribal knowledge.
What happens if we outgrow the OSS tier?
The core stays open-source with no lock-in. Enterprise capabilities — SLA, advanced governance, dedicated support — are on the roadmap for Q3-Q4 2026 and can be discussed early.
Ready to replace script glue with a platform?
Deploy KB Labs on-prem, validate on your workflow, and align architecture with the team before broad rollout.