James Bach Why Testers Matter. Reasserting our role in the AI DevOps era
tl;dr:
Table of contents:
SUMMARY
James Bach, testing expert, discusses the value of skilled testers in an AI-driven world, emphasizing the necessity for critical thinking, empirical approaches, and independent roles in software testing.
IDEAS
- Testing ensures quality by seeking and finding defects, not merely assuming good results.
- Developers often lack time and motivation to perform thorough, unbiased testing.
- Independent testers maintain critical distance, providing unfiltered and honest product assessments.
- AI’s fragility and algorithmic obscurity make testing more essential than ever.
- Empirical approaches in testing uncover truths rather than relying on assumptions.
- Skilled testing requires specific expertise, beyond intuitive or amateur efforts.
- Testing reveals risks early, akin to a lookout spotting icebergs for the Titanic.
- The absence of strong testing leads to over-reliance on automation and shallow quality metrics.
- Session-based testing allows for accountability while maintaining flexibility.
- Certification like ISTQB often lacks validation of real testing skills and contributes minimally to the industry.
- Real-time exploratory testing generates deeper insights than scripted, procedural approaches.
- Test case documentation, though necessary in some contexts, can be replaced with lightweight methods.
- Analogies like insurance, journalism, and bodyguards help explain testing’s value to stakeholders.
- Tools and frameworks should assist testers, not attempt to replace them entirely.
- AI testing requires human oversight due to its inability to perform nuanced inquiry processes.
- Testing strategies must evolve with laws emphasizing software safety and liability.
- Crowdsourced testing is viable for early-stage startups but insufficient for high-risk industries.
- Testers’ unique mindsets make them more critical and skeptical compared to developers.
- Complex AI tools demand specialized skills, emphasizing the need for independent testers.
- Effective automation strategy incorporates human judgment at all critical junctures.
INSIGHTS
- Skilled, independent testers are irreplaceable for objective, thorough product evaluations.
- AI’s unpredictability highlights the need for human oversight in software testing.
- Empirical, critical approaches ensure testing uncovers defects beyond surface-level functionality.
- Test case documentation must balance utility with the cost of maintenance and flexibility.
- Testing as storytelling bridges technical findings with actionable business decisions.
- Testing should prioritize risk assessment, guiding businesses to preempt critical failures.
- Continuous learning and adaptability define a complete and effective tester.
- Exploratory testing fosters discovery and adapts seamlessly to changing software landscapes.
- Independent testers maintain objectivity, safeguarding against conflicts of interest.
- Testing tools should empower human testers, not supplant their critical judgment.
QUOTES
- “Testing is about preventing loss, not about making money.”
- “Developers assume tools work; testers confirm tools actually do.”
- “AI should be thought of as a precocious but irresponsible child.”
- “You can miss a lot of bugs by focusing only on sanity checks.”
- “Testers must actively seek trouble to uncover hidden risks.”
- “Good testers are motivated to test and are available to do so.”
- “Automation without human oversight leads to dangerous blind spots.”
- “A smoke alarm that doesn’t work appears fine when there’s no fire.”
- “Critical distance ensures testers can report unbiased findings.”
- “Testing should be exploratory first, moving toward scripted where necessary.”
- “To test AI effectively, one must understand its social and algorithmic challenges.”
- “AI-driven automation lacks judgment, making skilled human testers indispensable.”
- “The Titanic’s lookout wasn’t the captain—testers provide warnings, not steer ships.”
- “Crowdstrike’s failure wasn’t sudden; it resulted from prolonged neglect of testing.”
- “Testing laws are evolving to prioritize user safety and product reliability.”
HABITS
- Practice exploratory testing to foster adaptability and creativity.
- Regularly review and refine testing strategies based on evolving risks.
- Use lightweight, flexible documentation to balance accountability and agility.
- Engage in continuous learning through research, reading, and hands-on projects.
- Build a personal network of critical-thinking peers for collaboration.
- Record testing sessions to maintain evidence without excessive overhead.
- Experiment with different testing tools and frameworks to enhance productivity.
- Test AI systems through APIs to validate at scale and identify limitations.
- Develop analogies to articulate the value of testing to stakeholders.
- Leverage mind maps and visual tools to plan and document test strategies.
- Challenge and critique your test plans to uncover weaknesses.
- Balance exploratory and scripted testing based on context and project needs.
- Create scenarios to simulate real-world conditions in testing.
- Focus on storytelling when communicating test findings to stakeholders.
- Regularly practice coding and tool usage to improve technical testing skills.
FACTS
- AI’s “black box” nature makes algorithmic obscurity a core testing challenge.
- European Union’s Product Liability Directive emphasizes safety under foreseeable misuse.
- Continuous delivery workflows often sacrifice testing thoroughness for speed.
- Testers in medical devices rely on video evidence to meet regulatory requirements.
- AI struggles with inquiry, requiring supervision for complex testing tasks.
- Automated testing often misses nuanced bugs only humans can identify.
- Testing mindset differs fundamentally from development, emphasizing critical evaluation.
- Testing’s insurance-like role is about risk mitigation, not direct profit.
- Over-documentation in testing can lead to rigidity and wasted resources.
- Certifications like ISTQB lack rigorous validation of actual testing skills.
- Crowdsourced testing suits early stages but fails in high-stakes environments.
- Regression testing in AI is more challenging due to radical fragility.
- Testers bridge the gap between technical findings and business implications.
- Analogies help explain abstract testing concepts to non-technical audiences.
- Exploratory testing adapts to unknown variables, offering unique problem-solving potential.
REFERENCES
- 21 CFR 830 (regulation for medical device testing documentation).
- Session-based test management (original article by James Bach’s brother).
- European Union Product Liability Directive on software safety.
- JQ tool for handling JSON in testing scenarios.
- Playwright automation framework for scalable UI testing.
- Christina Soare’s portfolio of exploratory testing work.
- Hacker News as a source for updates on testing tools and trends.
ONE-SENTENCE TAKEAWAY
Skilled, independent testers with critical thinking are irreplaceable for ensuring reliable, user-centric software in an AI-driven world.
RECOMMENDATIONS
- Focus on identifying and mitigating risks to improve testing’s business relevance.
- Use exploratory testing to uncover hidden defects and adapt to evolving scenarios.
- Maintain critical distance to provide unbiased and truthful product evaluations.
- Engage in continuous learning to stay ahead in a rapidly changing industry.
- Build a portfolio showcasing testing expertise to stand out professionally.
- Implement session-based testing for structured yet flexible quality assurance.
- Use lightweight documentation methods like videos to streamline processes.
- Test AI systems rigorously via APIs to handle their algorithmic complexity.
- Develop analogies to articulate testing’s value to stakeholders effectively.
- Collaborate with peers to enhance skills and benchmark testing practices.
- Balance automation with manual testing to ensure comprehensive coverage.
- Emphasize storytelling to communicate testing insights to non-technical teams.
- Practice using diverse tools and methodologies for comprehensive skill development.
- Stay updated with industry trends through forums, conferences, and communities.
- Advocate for testing’s value by framing it as critical for risk management.