AI for Test Automation: How to Replace Hand-Written Code
Diasoft has built an LLM agent into Digital Q.DevOps and automated the creation of autotests for complex APIs and events. The system takes a test case written in business language, selects the contracts it needs, writes Groovy code, runs it on a test bench and refines it from the logs in 2–3 iterations. For QA engineers, this shifts the work from manual coding to verifying business logic, events and the quality of requirements.
AI-processed from Habr AI; edited by Hamidun News
Diasoft has built AI for test automation into its tooling: an LLM agent takes a test case written in business language, gathers the contracts, generates the code and iterates until the test passes reliably, freeing the QA team to focus on complex business logic.
How can AI generate autotests?
The system takes a test case written in business language, gathers the necessary contracts, generates code and runs it on a test bench, refining it until it passes reliably.
How does AI automate test writing?
The LLM agent takes a test case written in business language, gathers the necessary contracts, generates code, runs it on a test bench and refines it until it passes reliably.
Why were templates needed for autotests before?
Previously, typical CRUD operations and standard events were covered automatically through templates, because the logic repeated from one service to the next. But the real value of products lies not in simple reads and writes, but in more complex logic.
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Key Questions Answered
How can AI generate autotests?
The system takes a test case written in business language, gathers the necessary contracts, generates code and runs it on a test bench, refining it until it passes reliably.
How does AI automate test writing?
The LLM agent takes a test case written in business language, gathers the necessary contracts, generates code, runs it on a test bench and refines it until it passes reliably.
Why were templates needed for autotests before?
Previously, typical CRUD operations and standard events were covered automatically through templates, because the logic repeated from one service to the next. But the real value of products lies not in simple reads and writes, but in more complex logic.
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