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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.

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Contents

Agentic vs Traditional Test Execution

TraditionalAgentic
Run predefined test listAgent decides what to test next
Fixed test orderDynamic prioritization based on risk
Pass/fail reportRoot cause analysis + fix suggestion
Human triages failuresAgent triages and files bugs
Manual maintenanceSelf-healing locators

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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)

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