Autonomous SDLC: A Test Product Perspective - with Checksum AI + Modern Software

Autonomous SDLC: A Test Product Perspective - with Checksum AI + Modern Software

Autonomous SDLC: A Test Product Perspective - with Checksum AI + Modern Software

In this conversation, Mike Verinder and Gal Vered discuss the advancements in Autonomous Software Development Life Cycle (SDLC) with a focus on Checksum's AI-driven end-to-end testing solutions. Gal shares his background and the mission of Checksum, emphasizing the importance of automating testing processes to enhance software quality. They explore the challenges of integrating AI in enterprise environments, the future of autonomous systems, and the role of manual testing. The discussion also touches on privacy concerns, the significance of open-source testing, and the evolving landscape of investor interests in AI-driven startups.

Gal Vered

Gal Vered

Gal Vered is a Co-Founder at Checksum where they use AI to generate end-to-end Cypress and Playwright tests, so that dev teams know that their product is thoroughly tested and shipped bug free, without the need to manually write or maintain tests.

In his role, Gal helped many teams build their testing infrastructure, solve typical (and not so typical) testing challenges and deploy AI to move fast and ship high quality software.

Gal Vered is a Co-Founder at Checksum where they use AI to generate end-to-end Cypress and Playwright tests, so that dev teams know that their product is thoroughly tested and shipped bug free, without the need to manually write or maintain tests.

In his role, Gal helped many teams build their testing infrastructure, solve typical (and not so typical) testing challenges and deploy AI to move fast and ship high quality software.