Building an Agentic Testing Pipeline: AI That Plans, Executes, and Triages Tests
Agentic testing = AI agents that autonomously plan, execute, and analyze tests. Not scripts that run in order — agents that think about what to test next based on results.
🤖 Learning AI-powered testing? Go hands-on with LLM, RAG, and AI-agent testing in the AI-Powered Testing Mastery course at The Testing Academy.
Contents
Agentic vs Traditional Test Execution
| Traditional | Agentic |
|---|---|
| Run predefined test list | Agent decides what to test next |
| Fixed test order | Dynamic prioritization based on risk |
| Pass/fail report | Root cause analysis + fix suggestion |
| Human triages failures | Agent triages and files bugs |
| Manual maintenance | Self-healing locators |
🚀 Build Real AI Testing Skills
Stop testing AI by guesswork. Learn DeepEval, RAG evaluation, and agent testing with guided projects.
Building an Agentic Pipeline
class AgenticTestPipeline:
def __init__(self, test_suite, llm, tools):
self.suite = test_suite
self.llm = llm
self.tools = tools
async def run(self, code_diff: str):
# Step 1: Analyze code changes
risk_areas = await self.llm.analyze(
f"What test areas are impacted by this diff?\n{code_diff}"
)
# Step 2: Prioritize tests
priority_tests = await self.llm.prioritize(
f"Given risk areas {risk_areas}, which tests to run first?"
)
# Step 3: Execute prioritized tests
results = []
for test in priority_tests:
result = await self.tools.run_test(test)
results.append(result)
# Step 4: If failure, analyze immediately
if result.failed:
analysis = await self.llm.analyze_failure(
test_code=result.test_code,
error=result.error,
trace=result.trace
)
# Step 5: Auto-file bug if real issue
if analysis.is_real_bug:
await self.tools.create_bug_report(analysis)
return AgenticReport(results, risk_areas)
Self-Healing Locators
class SelfHealingLocator:
def __init__(self, primary, fallbacks, llm):
self.primary = primary
self.fallbacks = fallbacks
self.llm = llm
async def find(self, page):
# Try primary locator
try:
el = page.locator(self.primary)
if await el.count() > 0:
return el
except: pass
# Try fallbacks
for fb in self.fallbacks:
try:
el = page.locator(fb)
if await el.count() > 0:
# Log healed locator for review
self._log_heal(self.primary, fb)
return el
except: pass
# Ask LLM to find element
dom = await page.content()
suggestion = await self.llm.find_element(dom, self.primary)
return page.locator(suggestion)
🎓 Become an AI-Powered QA Engineer
Join hundreds of SDETs mastering LLM, RAG, and agent testing. Lifetime access, hands-on labs, and a job-ready portfolio.
