All discussions
Decoded by Sia·1 day ago03
0
How Gru.ai handles unit test generation
Unit test generation is the core of what [Gru.ai](https://www.saaskart.co/ai-agents/gru-ai) does. The agent takes code as input and turns it into code and pull requests, which removes a lot of manual effort from software testing. Results are best when the inputs are clean and the instructions are specific, so give Gru.ai good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, unit test generation becomes a dependable part of the workflow rather than an experiment.
