Harness CEO and co-founder Jyoti Bansal unpacks a core challenge facing modern software teams: while AI is dramatically increasing the amount of code being written, it is also putting unprecedented pressure on everything that happens after code is committed.

Bansal argues that much of the industry’s AI focus has centered on the developer inner loop—AI-assisted coding on laptops—while overlooking the outer loop, where most of the real work lives. Testing, security scanning, deployment verification, compliance checks, release orchestration, and cost management consume the majority of engineering effort in large organizations. As AI accelerates code generation, those downstream processes become bottlenecks unless they are equally automated and modernized.

This is where Bansal frames Harness’ vision of “AI for everything after code.” Rather than relying on generic copilots, he describes an approach built around purpose-designed AI agents that handle specific DevOps, testing, security, and FinOps tasks. These agents operate with deep contextual awareness, drawing from a software delivery lifecycle knowledge graph that reflects an organization’s infrastructure, policies, pipelines, and operational constraints.

Crucially, Bansal emphasizes that AI should not replace human judgment in production environments. Instead, AI is used to generate deterministic, auditable orchestration—pipelines, tests, rollout strategies, and safeguards—that humans can review, approve, and govern. This human-in-the-loop model is especially important for large and regulated enterprises, where reliability, security, and blast-radius control matter as much as speed.

They also explore how rising code volumes—especially from AI-generated code—can actually reduce delivery throughput and quality if the outer loop is neglected. Without strong automation, observability, and guardrails, more code simply means more vulnerabilities, more failures, and more rework.

The message is clear: AI’s real impact on DevOps will be determined not by how fast teams write code, but by how intelligently they automate, secure, and govern everything that comes next.