How Postalize Used Checksum AI to Reduce Bugs & Flakiness
Postilize is a SaaS company providing AI assistants to automate social media and email outreach, boosting performance that increases customer touchpoints and keeps businesses informed and connected with clients and prospects.
As an innovative and fast-growing company, Postilize prioritized rapidly launching new features to stay ahead. However, as the team expanded and platform complexity increased, maintaining the balance between speed and stability became increasingly difficult.
The team found themselves in a frustrating cycle: for every two steps forward, they had to take one back, constantly firefighting regressions. Instead of progressing smoothly after feature launches, they faced a growing backlog of issues that needed immediate attention.
This situation hindered the team’s ability to focus on planned sprints. Frequent context switching between fixing bugs and building new feature created inefficiencies and made it hard to maintain momentum.
Manual QA was too slow
Manual QA did not fully address Postilize's challenges. The process was time-consuming, and by the time a manual QA cycle was completed, the engineering team had already moved on, releasing multiple new features. This resulted in engineers frequently having to revisit their work instead of focusing on forward momentum. Each new release turned into a multi-day effort, with manual QA identifying bugs that required the engineering team to halt their progress and address the issues. The constant back-and-forth to finalize releases became a recurring bottleneck.
Automated Tests kept breaking
Traditional automated testing struggled to keep pace with postilize’s rapid feature development. Tests were often unreliable, breaking frequently and failing to provide meaningful feedback to the engineering team. The team found themselves spending excessive time maintaining and updating existing tests, and the CI/CD pipeline became inconsistent, further slowing down the release process.
Checksum uses AI to automatically generate end-to-end browser tests based on real user activity. Instead of manually writing and maintaining tests, Checksum’s AI learns how to use your app from user sessions, identifies relevant test cases, and adapts to changes in your code.
Auto-Generation
Tests are generated automatically using proprietary AI, saving months in development time writing and maintaining tests.
Realistic Coverage
Models are trained on actual user activity, so tests are realistic and cover edge cases as well as the happy path.
Self-Healing Tests
Tests are built and tun using advanced ML models trained on your specific software, making them robust and adptive.
No Lock-In
Output is standard playwright or Cypress code, giving you full control without limitations.
Within just a few weeks, Postlize achieved remarkable results with Checksum:
Step_01
Full Testing Suite with Minimal Effort
A comprehensive testing suite was established without requiring significant engineering resources.
Step_02
Complete CI/CD Pipeline
Every pull request is automatically tested and deployed to production, backed by comprehensive and durable testing.
Step_03
Immediate Feedback
Engineers get instant regression feedback, fix issues on the spot, and move on without disruption.
Step_04
Focus on Innovation
Engineers can concentrate on sprints and new features instead of constantly firefighting old bugs.
Step_05
Auto-Healing Tests
A comprehensive testing suite was established without requiring significant engineering resources.
Checksum transforms engineering workflows by stabilizing tests, tightening feedback loops, and eliminating hours of repetitive debugging. With cleaner results and dependable automation, teams experience smoother development and more predictable deployments.
Ready to Ship Faster and More Confidently?
If you want to quickly find out where your app is buggy, book a demo with Checksum.
