Perforce Autonomous Testing now lets release owners define one natural-language test workflow and execute the required functional and performance tests across Perfecto and BlazeMeter, reducing duplicated test design and handoffs.
One workflow across functional and performance testing
Perfecto 26.7 introduces Perforce Autonomous Testing for organizations that use both Perfecto and BlazeMeter. Teams define the application, scenarios, environments, and success criteria in natural language; the capability generates and executes the necessary tests through the two platforms.
For release leadership, the material change is operational: test design, execution intent, and outcomes can be managed through a single workflow rather than separate functional and performance testing efforts. This can reduce inconsistent coverage definitions and make release-readiness decisions easier to defend.
Key considerations:
- Both a Perfecto license and a BlazeMeter license are required.
- Teams should define ownership for scenarios, environments, thresholds, and approval criteria.
- Existing quality gates should specify how functional and performance evidence is reviewed together.
- Pilot the workflow against representative applications before changing release policy.
MCP Server support expands AI Scriptless operations
Perfecto MCP Server now supports AI Scriptless tests through natural-language prompts. Users can create, inspect, and maintain tests; view test structure; edit commands and control flow; perform test-level operations; and access snapshots.
This gives engineering teams another controlled entry point for test maintenance. It does not remove the need for review. Prompt-driven changes can affect test intent, coverage, and the reliability of release evidence, so organizations should apply code-review discipline and clear ownership to AI-generated updates.
