Skirr AI — AI Audits and AutomationSkirr AI

08 Jun 2026

12:42

AI Builders Share Compound Engineering and Agentic Code Review Systems

Interviews with leading AI engineers detail Compound Engineering workflows and agentic systems enabling up to 40 PRs daily by replacing manual code review.

AI EngineeringAgentic SystemsDeveloper Workflows

At a glance

Leading AI builders describe two practical engineering systems: Compound Engineering for structured planning-to-execution workflows and an agentic code review system that supports high-velocity PR output.

What changed

Engineer Kieran Klaassen detailed the Compound Engineering system, covering its planning, skills, and command components. Separately, former Meta L8 engineer Kun Cheng described replacing manual code review with an agentic engineering system, enabling shipment of up to 40 pull requests per day.

Why it matters

Operationally, these approaches reduce time spent on manual review and repetitive tasks, improving workflow velocity and output quality. Commercially, teams adopting similar systems can accelerate product development cycles and increase engineering capacity without proportional headcount growth. For compliance-aware teams, structured agentic review and command-based execution can support consistent audit trails and governance controls over AI-assisted code changes.

Key details

  • Compound Engineering provides a repeatable framework from initial planning through skill definition to command execution.
  • The agentic system shifts code review from human-only to AI-augmented processes.
  • Both systems are positioned as methods for professional AI builders and engineering teams to scale output reliably.

Sources

Notes for citation

Interviews conducted by @petergyang and published in June 2026. Content focuses on practitioner workflows rather than specific product releases or benchmark results. Suitable for operational and governance analysis in AI engineering contexts.

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