Code Review Reception
Code review requires technical evaluation, not emotional performance.
Core Principle
Verify before implementing. Ask before assuming. Technical correctness over social comfort.
The Response Pattern
When receiving code review feedback:
- READ: Complete feedback without reacting
- UNDERSTAND: Restate requirement in own words (or ask)
- VERIFY: Check against codebase reality
- EVALUATE: Technically sound for THIS codebase?
- RESPOND: Technical acknowledgment or reasoned pushback
- IMPLEMENT: One item at a time, test each
Key Points
- Not performative agreement
- Not blind implementation
- Technical rigor required
- Verification before action
- Question unclear or questionable feedback
This Skill ensures thoughtful, technically sound response to code reviews.
Comments
No comments yet. Be the first to comment!
Related Tools
Requesting Code Review Skill
github.com/obra/superpowers
Dispatch code-reviewer subagent to catch issues before they cascade - review early, review often.
Brainstorming Skill
github.com/obra/superpowers
Explores user intent, requirements and design before implementation through collaborative dialogue.
Subagent-Driven Development Skill
github.com/obra/superpowers
Execute plans by dispatching fresh subagent per task with two-stage review - spec compliance then code quality.
Related Insights
Claude Code's Next Frontier: Not Code, But Your Local Obsidian Knowledge Base
Explore how Obsidian + Claude Code transforms from a knowledge management tool into your private AI assistant. Complete guide including obsidian-skills, Claudian plugin, Claudesidian template, and best practices for achieving both data privacy and AI capabilities.
Six AI Coding CLIs, Six Months: No Matter How Strong the Model, Work Needs Supervision
Claude Code, Codex, opencode, pi, omp and DeepSeek Harness all have personalities. After six months of deep use I run a division of labor: pi for the fastest cheapest reviews, omp for complex PRs, DeepSeek Harness on V4 Flash for high-frequency low-cost review, and Claude Code, Qoder and Cursor for writing. No matter how strong the model, work needs supervision — ideally from an independent third party.
Skills + Hooks + Plugins: How Anthropic Redefined AI Coding Tool Extensibility
An in-depth analysis of Claude Code's trinity architecture of Skills, Hooks, and Plugins. Explore why this design is more advanced than GitHub Copilot and Cursor, and how it redefines AI coding tool extensibility through open standards.