Meta – Global Social Media Platform

Background: Meta operates at massive global scale, serving billions of users. Every new release introduces significant risk: even a small bug can affect millions of people instantly. Their QA teams were under pressure to test more features, faster, while maintaining reliability. Manual regression testing simply could not keep up.

Challenge:Each release cycle required thousands of repetitive tests across multiple environments. The process was slow, resource-intensive, and left engineers frustrated. The team struggled to balance the speed of innovation with the reliability users expect. As a result, product rollouts slowed down, and the cost of errors increased.

Solution (Cognara): Cognara deployed a framework of autonomous AI testing agents, trained to:

• Learn from historical bug data and past regressions.
• Simulate complex user journeys that manual QA often missed.
• Run thousands of test cases in parallel, continuously and without downtime.
• Generate structured reports in real-time, fully integrated with Meta’s QA workflows.

Results:

• Testing time reduced by 60% – full cycles compressed from weeks to just days.
• Greater test coverage including edge cases, improving reliability of every release.
• Engineers shifted to high-value work, focusing on innovation and strategic QA design.
• Reduced risk of emergency rollbacks and costly hotfixes.

Impact Beyond Numbers: By increasing confidence in releases, Cognara’s agents didn’t just make QA faster — they enabled Meta to release new features more boldly. The cultural shift was significant: engineers felt empowered to experiment more, knowing testing bottlenecks wouldn’t hold them back.

Lite Version (for LinkedIn):

• Challenge: Manual regression testing slowed innovation.
• Solution: Autonomous AI testing agents.
• Results: 60% faster cycles, higher coverage, fewer rollbacks.