Best of Code ReviewJune 2025

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    Video
    Avatar of webdevcodyWeb Dev Cody·49w

    Cursor just got a major update

    Cursor 1.0 introduces several major features including background agents that can perform concurrent code refactoring tasks, bugbot for automated code review in pull requests, memory functionality to learn coding preferences, and enhanced MCP tool integrations. The background agent feature allows developers to delegate smaller tasks while focusing on main work, though it uses expensive premium models. Bugbot automatically reviews pull requests for potential issues, while the memory system learns individual coding preferences per project.

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    Video
    Avatar of bytegradByteGrad·50w

    The BEST AI Vibe Coding Stack & Workflow

    A comprehensive guide to building applications using AI-powered development tools. Covers the complete workflow from ideation with ChatGPT to prototyping with V0, coding with GitHub Copilot in VS Code, and automated code reviews with Code Rabbit. Demonstrates how AI tools can significantly boost developer productivity throughout the entire development lifecycle, from initial concept to production deployment.

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    Video
    Avatar of tsoding_dailyTsoding Daily·50w

    Code Review

    A detailed code review session of a B programming language compiler, focusing on a community-contributed pull request that adds UXN virtual machine target support. The review covers the implementation of a new compiler backend, demonstrates running B programs on UXN (including a snake game and animated graphics), and discusses architectural decisions for handling multiple compilation targets. The session also explores adding support for multiple file compilation and command-line argument parsing improvements.

  4. 4
    Article
    Avatar of threedotslabsThree Dots Labs·47w

    How to Create PRs That Get Merged The Same Day

    Small pull requests that can be merged within a day are achievable through proper planning, feature splitting, and team culture changes. Big PRs create deadly loops where slow reviews lead to even bigger PRs to avoid multiple waits. Key strategies include using feature flags to merge incomplete code, splitting work vertically by feature slices and horizontally by architecture layers, prioritizing reviews as team responsibility, and involving product stakeholders early to reduce scope. Mob programming can help with complex refactoring that's hard to split. The goal is eliminating surprises in PRs through upfront planning and creating shared team responsibility for code delivery rather than individual ownership.