What is the difference between alpha and beta testing?

Alpha testing happens inside the company — typically the QA team plus internal volunteers ("dogfooders"). It runs against late-stage builds and aims to find issues that survived feature-level testing — integration bugs, workflow problems, obvious usability gaps. Alpha is high-touch: testers know the product is unfinished, and engineers can react quickly to feedback.

Beta testing opens the product to a curated set of real users — sometimes opt-in customers, sometimes a percentage of new sign-ups. The aim is to validate the product against real-world usage patterns, real data volumes, and real network conditions that internal testing can't simulate. Beta testers tolerate rough edges in exchange for early access. Modern variants include closed beta (invitation-only), open beta (anyone who opts in), and canary release (small % rollout in production).

Two dangers worth flagging: confusing beta with "we're shipping it and hoping" — beta is a deliberate, instrumented stage with feedback channels and bug rates monitored. And treating beta feedback as 'representative' — beta users are self-selecting and rarely match the full user population, so positive beta signals don't guarantee general-availability success.

The distinction has blurred in continuous delivery: many SaaS products skip alpha entirely and use feature flags + canary releases instead.