Test management tips & trends
Best Practices
This article explores the integration of AI and ML models into software products, emphasizing the challenges faced by QA professionals. It introduces the Model Context Protocol (MCP), which facilitates seamless connectivity between AI models and external data. The post provides an accessible explanation of MCP, highlights essential knowledge for QA teams, outlines testing strategies for MCP-based systems, and showcases how tools like Test Collab can enhance the QA process.
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We are in process of rolling out organization-wide update (internal and external) to comply with upcoming deadline of GDPR. Test Collab will be fully compliant with GDPR before the 25th May 2018 deadline.If you have any questions or suggestions regarding GDPR compliance, reach us out from 'Contact us' link below.
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We’ve always been fascinated with extracting useful insights from the data - we’ve been reviewing a lot of our clients at Test Collab over last 9 months. Reviewing their problems, possible solutions and if we can positively impact the productivity given the data they have.
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As some of you may have noticed that we had an outage for quite a few hours. The issue was caused by manual error on production server at December 5, 22:00 PM. We were able to bring systems back up at December 6, 03:11:20 IST. We'll be working on new measures to make sure such errors are not caused in future.
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We are proud to announce the launch of Test Collab 1.16. This release aims to improve tester's productivity and adds new integrations with your favorite tools.
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Switch to new tools and technologies for better productivity... Today's post is about migrations from old toolsand technologies to new and better ones
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A small project can sometimes grow really fast in today’s marketplace. It can really be an unpleasant experience (instead of a positive one) to some teams who are less experienced or launched a start-up for first time. It helps to prepare upfront and this article is all about that: To equip you with the knowledge upfront which you can use now and in future.
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We’ve just launched our Docker image to help users who like to self-host Test Collab. It speeds up whole setup process to another scale, so we’ve been looking forward to this from sometime now.
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We’ve been installing some upgrades to our release pipeline here at Test Collab. Such upgrades give you a good opportunity to find your past mistakes and eliminate them altogether. While doing so, I thought it’ll be good to share what I learned about continuous integration during lifetime of Test Collab and before.
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While working with some of my clients, I realized how easy it is to push a test automation tool in organization.
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