AI agents are everywhere, but what are AI agents really, and how are they changing engineering, testing, and hiring?
In this episode of Inside the Silicon Mind, Leonid Igolnik, Chief Technology Officer at Clari ( @ClariHQ ), unpacks why AI is a new level of abstraction, and why the real edge is not the model, it is the ability to express intent, validate outcomes, and operate software reliably.
If you are a founder, operator, or engineering leader navigating AI coding tools, interview process changes, and the agent hype cycle, this conversation gives you a practical way to think about what matters next.
In this episode:
• Why AI code can increase speed while keeping bug rates similar
• How engineering interviews must evolve when candidates have AI tools
• Why testing is becoming the guardrail for non-deterministic systems
• What “intent” means in the age of AI coding assistants and agents
• Why language choice is less important than runtime maturity and operations
• Why smaller teams are possible, but one engineer startups break at scale
• What revenue agents could do, deal inspection, trend analysis, and focus
• Why context matters more than data for agents to actually work
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