There is more to code review than (automatable) detection

A recent article from Adaptive Capacity Labs argues that modern software engineering teams often over-rely on automated tools for code reviews. While linters, static analysis, and security scanners are essential for catching syntax errors and common vulnerabilities, the author contends that they cannot replace the nuanced human element of the process. Effective code review involves understanding the broader business context, architectural intent, and long-term maintainability—aspects that algorithms currently fail to grasp. The piece emphasizes that relying solely on automation can lead to a false sense of security and a decline in team knowledge sharing. Instead, the author advocates for a balanced approach where automation handles the repetitive, objective tasks, allowing human reviewers to focus on high-level design, logic, and team collaboration. Ultimately, the goal is to foster a culture of collective ownership and continuous learning rather than just checking boxes for automated compliance.