Execution-grade AI agents for software quality

Execute tests, diagnose failures, provision infrastructure, and integrate agents across delivery pipelines

Core Testing Agents

Software Testing Agent (CoTester)

Generates executes adapts test cases from specifications using vision language intelligence with human approvals and traceability

Automation Agent

Generates executes adapts test cases from specifications using vision language intelligence with human approvals and traceability

Mobile Testing Agent

Runs tests on real mobile devices capturing gestures permissions operating system behavior context evidence runtime

API Testing Agent

Evaluates requests responses contracts authentication performance during execution across environments with contextual evidence timing reliability

Accessibility Agent

Analyzes interfaces during execution identifying accessibility issues mapped to standards with step level evidence contextual

Performance Agent

Measures journey latency throughput trends correlating slowdowns across releases environments infrastructure using execution data

Visual Regression Agent

Detects unintended visual changes across executions distinguishing meaningful layout shifts from acceptable variation with evidence

Cross Browser Agent

Executes identical flows across browsers adapting interactions while capturing rendering behavioral differences with execution context

Security Scan Agent

Scans applications during test execution uncovering vulnerabilities insecure configurations authentication weaknesses with traceable evidence contextual

DevOps & Orchestration Agents

Scheduler Agent

Orchestrates execution timing based on change signals environment readiness resource availability priorities calendars policies

CI/CD Trigger Agent

Initiates test execution using repository pipeline deployment signals ensuring runs occur only when changes matter

Notification Agent

Delivers contextual alerts from execution results routing signals by role severity environment without noise

JIRA Agent

Generates manages tracks test cases directly from work items preserving traceability alignment execution context

Integration Agent

Synchronizes results evidence metadata across tools pipelines systems ensuring consistent context without manual stitching

Version Control Agent

Tracks test asset changes commits execution triggers within repositories maintaining history governance traceability

AI/ML Smart Agents

Bug Description Agent

Summarizes failures into structured reports using logs screenshots steps context improving clarity consistency communication

Root Cause Analysis Agent

Correlates execution signals assertions logs visuals environment context identifying likely failure causes post execution

Change Impact Agent

Analyzes code modifications mapping affected components tests risks prioritizing execution based on relevance

Code Coverage Agent

Interprets executed tests against code paths revealing meaningful coverage gaps trends contextual insights

Self-Healing Agent

Recovers known execution failures by resolving locators timing issues without altering intent assertions

Code Review Agent

Reviews changes alongside execution behavior tests history highlighting risk areas requiring human attention

Specialized Ops Agents

Test Data Automation Agent

Generates provisions refreshes test data aligned with execution context ensuring consistency availability governance

DataOps Agent

Manages data lifecycle across environments preventing drift collisions privacy issues before execution

Infra Provisioning Agent

Dynamically provisions test infrastructure enabling parallel execution while enforcing cost controls

Localization Agent

Validates localized behavior layouts formats workflows across regions languages during execution

Backup & Restore Agent

Captures restores environment state enabling reproducible execution recovery comparisons without manual rollback

DevSecOps Agent

Surfaces security risk signals across code tests pipelines enabling informed governed delivery decisions

Usecases