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Software Testing with Fexingo: QA, Automation, and Reliable Software Engineering

Software Testing with Fexingo: QA, Automation, and Reliable Software Engineering

By: Fexingo
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Lucas and Luna examine the discipline of software testing as a strategic function, not a checkbox. Each episode focuses on a specific testing practice — from unit test coverage metrics and integration test design patterns to the economics of test automation ROI and the psychology of flaky test triage. They walk through real-world case studies: how Stripe reduced regression defects by 40% with contract testing, the trade-offs between Selenium and Cypress for e-commerce checkouts, and why Google's test size taxonomy (small/medium/large) forces better architectural decisions. Lucas explains the math behind mutation testing scores and the diminishing returns of 100% code coverage; Luna challenges him on how to sell testing budgets to skeptical product managers and when manual exploratory testing still outperforms automation. They also explore testing philosophies — shift-left vs. shift-right, risk-based testing prioritization, and the role of AI in generating test oracles. The listener leaves each episode with a specific framework or heuristic: how to evaluate a test suite's health, when to kill a test, or how to design a QA career path that doesn't plateau. No generic advice — just the numbers, the names, and the debates that shape reliable software. What does it actually take to build a testing culture that prevents defects instead of just catching them? #SoftwareTesting #QA #TestAutomation #UnitTests #IntegrationTesting #RegressionTesting #Cypress #Selenium #MutationTesting #TestCoverage #ShiftLeft #FlakyTests #TestROI #ContinuousTesting #SoftwareEngineering #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • Why Shift-Left Testing Saves Your Sprint

    Why Shift-Left Testing Saves Your Sprint
    Jun 14 2026
    In this episode of Software Testing with Fexingo, Lucas and Luna explore shift-left testing—moving quality checks earlier in the development lifecycle. They focus on a real-world case: how a mid-sized e-commerce team reduced their bug-fix cycle by 40 percent by catching defects during design and code review, rather than after deployment. Lucas explains the three concrete practices they adopted: lightweight threat modeling in sprint planning, automated static analysis on every commit, and testable acceptance criteria written by product managers. Luna challenges whether shift-left works for legacy codebases, and they discuss a pragmatic hybrid approach. If you're a QA engineer, developer, or tech lead tired of firefighting production bugs, this episode gives you actionable tactics to shift your testing left without slowing velocity. #ShiftLeftTesting #SoftwareTesting #QA #Automation #ShiftLeft #StaticAnalysis #ThreatModeling #AcceptanceCriteria #BugPrevention #ContinuousTesting #DevOps #Agile #QualityAssurance #SoftwareEngineering #Technology #FexingoBusiness #BusinessPodcast #SoftwareTestingWithFexingo Keep every episode free: buymeacoffee.com/fexingo
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    7 mins
  • Why Five Nines Testing Is Overrated for Most Apps

    Why Five Nines Testing Is Overrated for Most Apps
    Jun 14 2026
    Chasing 99.999% uptime through endless regression tests? This episode argues that for most SaaS products, the cost of five-nines testing far outweighs the benefit. Lucas and Luna break down a real-world case from a mid-market CRM provider that cut its QA budget by 40% after adopting error budgets and shifting from exhaustive pre-release testing to targeted chaos experiments. They walk through the math: how SLA tiers, user tolerance for downtime, and actual failure modes should drive your test strategy instead of an arbitrary uptime target. Plus, a practical framework for deciding when 99.9% is enough — and when you genuinely need those extra two nines in your CI pipeline. #FiveNines #Uptime #ErrorBudget #SLABasedTesting #ChaosEngineering #TestStrategy #SoftwareTesting #QA #Reliability #SRE #SiteReliabilityEngineering #SaaS #BusinessPodcast #Technology #FexingoBusiness #BusinessPodcast #SoftwareEngineering #TestingMindset Keep every episode free: buymeacoffee.com/fexingo
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    7 mins
  • Why Property-Based Testing Finds Bugs You Never Thought Of

    Why Property-Based Testing Finds Bugs You Never Thought Of
    Jun 13 2026
    In this episode of Software Testing with Fexingo, Lucas and Luna explore property-based testing, a technique that generates thousands of random inputs to find edge cases you'd never think to write as unit tests. They use a concrete example: a CSV parser that silently dropped rows with trailing spaces. With a Python library called Hypothesis, the team caught the bug in minutes after weeks of manual testing missed it. Lucas explains the difference between example-based and property-based testing, how to define invariants like 'every row has the same number of columns', and why this approach is especially powerful for data pipelines, APIs, and financial calculations. Luna pushes on the practical trade-offs — slower test runs, harder debugging — and they discuss when to use property-based tests versus traditional fuzzing. The episode ends with a reflection on how thinking in properties changes your mental model from 'does this work?' to 'what must always be true?'. #PropertyBasedTesting #Hypothesis #PythonTesting #CSVParsing #EdgeCases #SoftwareTesting #Automation #QA #DataPipelines #Invariants #Fuzzing #ExampleBasedTesting #TechPodcast #SoftwareEngineering #TestingTools #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
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