Review code changes across logic, architecture, and testing using VCS commands.
npx skills add https://github.com/fcoury/config --skill brutal-review-fcoury
Please help me install this Agent Skill. Skill: brutal-review Source: https://github.com/fcoury/config/tree/main/ai/skills/brutal-review Command: npx skills add https://github.com/fcoury/config --skill brutal-review-fcoury
This Skill automates a rigorous, multi-perspective code review process to identify potential bugs, design flaws, and quality issues before code is merged.
Use the brutal-review skill to perform a code review on the latest git commit.
High-intent search queries and answers about installing and using this skill.
To automate an in-depth code review, you can use an AI agent to conduct a multi-perspective analysis of your git commits. This process examines logic, architecture, reliability, testing, and performance to flag subtle bugs and design flaws before merging.
A multi-perspective AI code review analyzes code changes across several dimensions: logic, architecture, reliability, testing, code quality, documentation, and performance. It gathers contextual data like commit history to identify potential bugs and design weaknesses.
Yes, this AI code review supports the jj version control system alongside git. It requires access to these VCS tools to gather extensive context about your changes and execute a rigorous review of your codebase.
Yes, performing a ruthless code review requires the ability to execute tasks with specific AI models and subagents. These specialized AI perspectives are necessary to conduct the uncompromising, deep analysis of your code changes.
The best way to identify design flaws before merging is an automated, rigorous review that acts as an uncompromising reviewer. By analyzing commit history and related files, it flags subtle bugs and design weaknesses that might otherwise be missed.
A limitation of using AI agents for quality assurance is that it requires access to VCS tools and specific AI models to function. Without the ability to execute tasks with these models, the deep, multi-perspective debugging analysis cannot run.
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