The article outlines a workflow for effectively reviewing pull requests (PRs) using AI coding assistants. It emphasizes the importance of human involvement in PR reviews, detailing steps to analyze changes, assess impacts, and provide feedback efficiently. The author shares tools and commands to enhance the review process while minimizing time spent.

This article explains how to use Continuous Claude, a CLI tool that automates the process of creating pull requests and improving code coverage by running Claude Code in a continuous loop. It allows for persistent context across iterations, enabling efficient handling of multi-step projects without losing track of progress.

The article discusses the benefits of using stacked pull requests to improve code review efficiency. Instead of creating large, unmanageable PRs, developers can submit smaller, dependent requests that can be reviewed and merged more easily. This approach helps maintain team velocity and enhances code quality.

This article explains how AI is changing the code review process, emphasizing the need for evidence of code functionality rather than just relying on AI-generated outputs. It contrasts solo developers’ fast-paced workflows with team dynamics, where human judgment remains essential for quality and security. The piece outlines best practices for integrating AI into development and review processes.

This tool color-codes code diffs based on the level of human attention they require. By replacing "github.com" with "0github.com" in a pull request URL, users can visualize which changes might need a closer look. It uses AI to analyze the code and generates a heatmap highlighting potential issues.

Seer is an AI debugging tool that helps developers identify and fix bugs during local development, code review, and production. It leverages Sentry's telemetry to provide context and automate root cause analysis, making it easier to catch issues early and streamline the debugging process. The service now offers unlimited use for a flat monthly fee.