
How to Transform Dev Workflows with CI/CS and AI Agents with Tomer Karin
From Big Ideas in App Architecture by Cockroach Labs
February 18, 2026 · 34 min
About this episode
Tomer Karin discusses the limitations of traditional CI/CD pipelines and introduces a new paradigm called Continuous Integration and Continuous Solution (CI/CS) that incorporates AI for autonomous failure remediation.
Most CI/CD pipelines are built to detect failure, not to resolve it. As software systems grow more distributed and complex, that limitation is becoming a bottleneck for resilience. In this episode, David sits down with Tomer Karin, a seasoned software architect in the automotive industry, to explore a new paradigm he calls Continuous Integration and Continuous Solution (CI/CS). Tomer argues that the future of automated software development isn’t just faster feedback loops, it's systems that can autonomously remediate failures using AI. Tomer shares how his years of working on large-scale automotive software revealed the inefficiencies of traditional development pipelines, where engineers spend significant time diagnosing and fixing issues instead of building new capabilities. With CI/CS, AI agents don’t just identify failing builds, they apply fixes that are verified through existing test pipelines, allowing teams to start the next day with a healthier codebase. Join us as we discuss: Why traditional CI/CD breaks down as systems scale and complexity increases What Continuous Integration and Continuous Solution looks like in practice How AI agents can safely diagnose and fix…
People in this episode
Host: David
Guest: Tomer Karin
Topics covered
- Continuous Integration
- Continuous Solution
- AI in software development
- Dev workflows
- CI/CD pipelines
- Autonomous remediation
Keywords
- CI/CD
- Continuous Integration
- Continuous Solution
- AI agents
- software development
- automated workflows
- failure remediation
- automotive software
- development pipelines
Mentioned in this episode
Organizations: Cockroach Labs, automotive industry
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