The testing pipeline
Connect your tools
Arga integrates with your context sources — Slack, Jira, GitHub, Sentry, Grafana, AWS CloudWatch, PostHog — to understand what your software does and how users interact with it.
Generate user stories
For each PR, Arga’s agents analyze the change in the context of your product and generate step-by-step user stories that exercise the modified code paths.
Spin up an isolated sandbox
Each PR runs in a remote sandbox that mirrors your production environment. External service calls are handled by digital twins so nothing touches your real infrastructure.
Execute and validate
Arga replays the user stories against the sandbox, using full-stack session replay to reconstruct exact application states. It verifies that the PR behaves correctly and flags regressions.
Key primitives
Arga’s testing is built on two core primitives:Digital twins
Stateful, behavioural clones of external tools (Stripe, Slack, Discord, etc.) that replicate API endpoints, edge cases, and observable behaviours. These let Arga validate edits to external API calls or agent behaviour without touching real services.
Session replay
Snapshots of your program at each user interaction point, capturing every function call. Arga reconstructs state by replaying events to ensure testing happens in the exact same state as when a user encountered the bug.
Beyond code: testing AI agents
Arga’s sandbox architecture naturally extends to AI agent testing. By placing agents in a controlled environment with digital twins, 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
Book a demo
See the full pipeline in action. Schedule a 30-minute walkthrough.