Arga turns natural language into reliable, production-grade tests. Describe what to test in plain English. Arga compiles it into a deterministic workflow, runs it in a fresh sandbox with API twins, and auto-heals when things break instead of just failing.Documentation Index
Fetch the complete documentation index at: https://docs.argalabs.com/llms.txt
Use this file to discover all available pages before exploring further.
Two ways to validate
Point at your staging and let Arga test
Give Arga any URL — staging, preview, or localhost. It generates and runs tests against your app with API twins standing in for real services. No infra to set up.
Under the hood
Arga is built on three primitives:Semantic abstraction
Tests target elements by intent and meaning, not CSS selectors or XPaths. UI changes don’t break tests unless behavior actually changes. Service fork setup requires a one-time onboarding call — book a call so we can understand your stack.
Deterministic sandboxes
Each run starts from a fresh, identical state with API twins (Stripe, Slack, and more). Same input, same output, every time.
Auto-heal
When something fails, Arga reads from the browser and gathers context to continue instead of just failing.
Context from the tools you ship with
Arga pulls context from integrations like Jira, Linear, GitHub, Sentry, and PostHog, so the agents generating tests know what to validate and why it matters on each change. No fixtures to maintain, no test plans to keep up to date.Beyond code: validating AI agents
The same infrastructure that validates code changes also validates AI agents. Drop an agent into a sandbox alongside the same digital twins, and you can:- Observe agent behaviour without real-world side effects
- Proactively red-team agents to discover unsafe or unexpected actions
- Validate that agents interact correctly with external APIs
Try it yourself
See the full pipeline in action — run your first validation in under a minute.