The new eQAtor functionality uses artificial intelligence technologies, including integration with ChatGPT and Yandex GPT, to automate routine tasks of QA engineers. Key features include:
✅ Automatic test case creation – AI analyzes requirements and generates test scenarios, saving up to 80% of team time. ✅ Checklist generation – the system generates structured lists of checks, taking into account the specifics of the project. ✅ Local LLM support – for companies with increased security requirements, an on-premise version is available with data processing within the corporate network. ✅ Mass test generation – creating hundreds of test cases and checklists in a few clicks. ✅ Multi-AI assistants – in addition to ChatGPT, the system supports Yandex GPT, and in the future it is planned to add DeepSeek and other models.
In the next update, the developers promise even more powerful features: 🔹 Automatic analysis of technical specifications – AI will analyze the technical specifications and form a Program and testing methodology (PMI). 🔹 Traceability matrix – the system will be able to automatically link test scenarios to requirements, improving quality control.
Expert opinion
Ruslan Gataulin, CEO of Harpiks, notes: «eQAtor already helps companies evaluate the effectiveness of IT specialists, and with the AI tester, the development process will become faster and cheaper. This is a serious step towards improving the quality of Russian software».
The introduction of AI in testing can reduce product release times and minimize human errors. According to experts, automation of QA processes can reduce testing costs by 30–50%, which is especially important against the background of growing demand for domestic software.