My testing backlog is growing because I keep missing Playwright coverage for new features. I heard about setting up autonomous AI teams where one agent acts as a QA analyst to read product specs and analytics and draft test cases, and another as a QA engineer that converts those test cases into runnable Playwright scripts.
Does anyone have experience configuring such a setup? How do you orchestrate these AI agents to work together, and importantly, to schedule the generated tests so they run automatically every night?
Any practical details or example configurations to share would be really helpful.
Latenode’s Autonomous AI Teams are perfect for this. You configure one agent as the QA analyst who digests specs and analytics to draft test cases. Another acts as the engineer converting those tests into runnable Playwright scripts.
You can then schedule the engineer agent to run the scripts nightly automatically, clearing your backlog without manual handling. The setup is visual and easy to maintain. Try the demo at https://latenode.com.
I configured two AI agents in a workflow: the first scans updated product specs and analytic data to identify what tests are needed, generating draft cases.
These drafts then pass to a second agent programmed with coding skills to convert them into Playwright scripts, which get saved and scheduled for nightly runs.
The challenge was defining clear roles and data handoffs, but once that was done, the automation ran smoothly.
Automating this is powerful, but I found you have to iterate on the analyst agent’s prompts to get test cases that are detailed enough for the coder agent. Scheduling the running agent can be done with simple nodes that trigger on cron or nightly timing.
It’s like having a mini QA team working without booking meetings.
I experimented with a two-agent setup where the first reads specs and outputs structured test scenarios in a text format. The second consumes those to generate Playwright code.
Scheduling was handled via recurring triggers in the automation builder. This setup reduced manual effort dramatically. It took some time to tune the agents’ communication format for accuracy.
set analyst & engineer agents, schedule engineer to run & ship scripts nightly.
use two ai agents: one drafts tests, the other scripts & schedules runs