Verify AI-Generated Code in Production

AI coding tools have pushed PR volume past what manual review and manual post-deploy checking can absorb. The verification gap has moved from before-merge to after-deploy. This reading sequence walks through how the deployment-risk profile changes, what scales with PR volume, and how triage and remediation fit on the response side.

1. 01

   Start with the shift: AI coding tools move the bottleneck from writing code to reviewing and verifying it, and the verification gap moves from before-merge to after-deploy.

   How does AI-assisted development change deployment risk?AI coding agents like Claude Code, Cursor, and OpenAI Codex accelerate PR volume 3-10x, but the code they produce may lack deep human review. Learn how deployment risk changes when AI writes the code and what safeguards keep teams shipping safely.
2. 02

   The structural response is monitoring derived from each PR's diff. PR-based monitoring scales with PR volume in a way that human verification does not.

   What is PR-based monitoring?PR-based monitoring generates a change-specific monitoring plan from the pull request diff and watches production after deploy against that plan. Learn how it differs from static dashboards and why it scales with AI-assisted PR volume.
3. 03

   Release verification is the broader practice PR-based monitoring is a specific implementation of — confirm the change did what it was supposed to do, not just that it deployed without error.

   What is release verification?Release verification confirms that a deployed change is functioning correctly and not causing regressions. Learn why manual verification is unsustainable at scale and what automated verification should check.
4. 04

   When agents are doing the verification work, you need a way to evaluate the agent's own behavior. Agent SLOs is the discipline of holding agents accountable like any other service.

   What are Agent SLOs?Agent SLOs are service level objectives that AI agents define, evaluate, and act upon autonomously, translating business-language intent into measurable metrics. Learn how they work and how they differ from traditional SLO tools.
5. 05

   On the response side, AI-assisted triage connects a production symptom back to the responsible PR and assembles the investigation context a human or coding agent needs to act.

   What is AI-assisted production triage?AI-assisted production triage uses AI agents to connect a production symptom back to the recent change that caused it and assemble the investigation context a human or coding agent needs to act. Learn how it differs from autonomous remediation and where it fits in the incident workflow.
6. 06

   Closes the loop: autonomous remediation is the eventual step where the agent takes action on the system, with the right guardrails. Most teams will adopt aggressive triage well before aggressive remediation.

   What is autonomous remediation?Autonomous remediation is the practice of using automated systems to detect, diagnose, and fix production issues without human intervention. Learn about the trust spectrum, prerequisites for safety, and what kinds of issues can be autonomously remediated today.