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Revolutionizing Testing with AI: Checksum’s Journey
In this episode of Modern Software, Mike Verinder sits down with Gal Vered, co-founder of Checksum, to explore how AI is reshaping the Autonomous Software Development Life Cycle (SDLC). Gal shares his journey, the mission behind Checksum, and how their AI-driven testing solutions are revolutionizing end-to-end automation.
From enterprise AI adoption challenges to the future of manual testing, they dive deep into the evolving role of AI in software quality assurance. The conversation also touches on open-source testing, privacy concerns, and the startup landscape for AI-driven companies.
Key Takeaways:
✅ Checksum automates end-to-end testing using AI
✅ AI-powered solutions are transforming software quality assurance
✅ Enterprise AI adoption presents unique challenges
✅ Manual testing remains crucial, even in an autonomous world
✅ Checksum’s system of small models enhances precision and reliability
✅ Privacy concerns are critical in AI-based testing
✅ Open source testing plays a vital role in software development
✅ Investors seek strong business foundations in AI startups
✅ Israel’s tech ecosystem fosters groundbreaking AI innovation
Sound Bites from the Episode:
🎙️ "We generate end-to-end tests using AI."
🎙️ "We call it continuous quality."
🎙️ "AI will definitely change tech completely."
Join us as we unpack the future of Autonomous SDLC, the role of AI in testing, and what it means for developers, enterprises, and investors navigating this transformative shift.
🚀 Listen now on your favorite podcast platform!
Checkout Checksum in the link below !
Checksum.ai - E2E test automation based on real user behavior
Support the show
Send us a text
Revolutionizing Testing with AI: Checksum’s Journey
In this episode of Modern Software, Mike Verinder sits down with Gal Vered, co-founder of Checksum, to explore how AI is reshaping the Autonomous Software Development Life Cycle (SDLC). Gal shares his journey, the mission behind Checksum, and how their AI-driven testing solutions are revolutionizing end-to-end automation.
From enterprise AI adoption challenges to the future of manual testing, they dive deep into the evolving role of AI in software quality assurance. The conversation also touches on open-source testing, privacy concerns, and the startup landscape for AI-driven companies.
Key Takeaways:
✅ Checksum automates end-to-end testing using AI
✅ AI-powered solutions are transforming software quality assurance
✅ Enterprise AI adoption presents unique challenges
✅ Manual testing remains crucial, even in an autonomous world
✅ Checksum’s system of small models enhances precision and reliability
✅ Privacy concerns are critical in AI-based testing
✅ Open source testing plays a vital role in software development
✅ Investors seek strong business foundations in AI startups
✅ Israel’s tech ecosystem fosters groundbreaking AI innovation
Sound Bites from the Episode:
🎙️ "We generate end-to-end tests using AI."
🎙️ "We call it continuous quality."
🎙️ "AI will definitely change tech completely."
Join us as we unpack the future of Autonomous SDLC, the role of AI in testing, and what it means for developers, enterprises, and investors navigating this transformative shift.
🚀 Listen now on your favorite podcast platform!
Checkout Checksum in the link below !
Checksum.ai - E2E test automation based on real user behavior
Support the show