A/B Testing is a Chore
Setting up an A/B test involves a lot of steps:
- Setting up feature flags
- Writing experiment group assignment logic
- Implementing event tracking
- Running statistical analysis on results
Doing all of this manually is a drag. But AI coding agents can automate most of it.
How We Use Agents
Here's the flow we use on benri-tools:
- Tell the agent: "I want to A/B test this button color"
- The agent sets up PostHog feature flags and implements the code
- After the test period, ask: "Which variant won?"
- The agent runs statistical analysis and reports back
The human only decides what to test. The agent handles implementation through analysis.
Why PostHog Complements This Well
PostHog integrates feature flags and analytics in one platform, making it easy for agents to operate.
- posthog.getFeatureFlag() handles group assignment
- Results are visualized automatically on the dashboard
- Agents can fetch data via the API for deeper analysis
Without built-in A/B testing, you'd need to build the plumbing yourself before an agent can help. With PostHog, the agent can go straight to work.
Related
Let AI agents handle the implementation and analysis of A/B tests. You just decide what to test. Combined with PostHog's integrated platform, it's a powerful workflow.
