Slaven S
https://a.co/d/0c8AJxp8Maker
With over 18 years in engineering leadership, cloud infrastructure, and automation, I contribute at Sphere Labs across AI, AWS ECS, and cloud solutions, and I’m the developer of Testera.io—an AI-native QA platform that uses intelligent agents to triage failures, self-heal broken tests, and plug into modern workflows, shaped by nearly two decades of watching QA teams lose time to test maintenance.
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Commented on Testera IO · Aug 13, 2026
@Selina Yes automation/agents working in the background , you can have as many as you need and when they get triggered or executed on demand there is a log/summary of what exactly was done.
Commented on Testera IO · Aug 12, 2026
Klara, you connect your MCP to Jira, GitHub, and other tools to give the AI the context it needs. When a test fails, it can determine whether the failure is caused by a real product bug or an issue with the test itself. If it’s a test issue, the AI can open a self-healing pull request with the proposed fix. If it’s a product bug, it can create a detailed Jira ticket and identify the GitHub pull request that likely introduced the regression. GitHub and Jira are just examples—you can connect the tools your team already uses, including GitLab, Bitbucket, and others.
Commented on Testera IO · Aug 11, 2026
Yes agents explains everything and generates full report that is also stored un Testera artifacts. It also has test gap discovery and many more automation recipes that you can use .