Quality Over Velocity: The Case for Slow AI Coding
1225
AI coding should be used as a tool for methodical, high-quality engineering rather than just a 'slop cannon' for fast output.
Code Review
Practices, tools, and processes for reviewing code, including peer review, automated review, and AI-assisted code review workflows.
Reading List
Solving the Over-Editing Problem in AI-Assisted Coding
417
AI models tend to unnecessarily rewrite code when fixing bugs, but this 'over-editing' can be solved through targeted prompting and Reinforcement Learning.
GitHub Stacked PRs: Native Tools for Smaller, Faster Code Reviews
890
GitHub Stacked PRs provide a native CLI and UI workflow to manage and review large changes as a sequence of small, interdependent pull requests.
The AI Productivity Paradox: Why Machine Speed is Breaking Human Engineers
AI is creating a supervision tax that forces senior engineers to process machine-speed output at biological-speed capacity, leading to systemic burnout and a collapse in software quality.
The Failure of Vibe Coding: Why AI Needs Human Oversight
613
AI-assisted coding requires active human oversight and iterative conceptual guidance to prevent the messy, redundant outcomes of 'vibe coding.'
ProofShot: Autonomous Verification for AI Coding Agents
155
ProofShot is an agent-agnostic tool that enables AI coding assistants to autonomously record, verify, and document their web development tasks.
Verifying AI Code Without Human Review
AI-generated code can be safely used without human review if it is validated through a rigorous suite of automated verification tests and constraints.
Verifying the Autonomous Agent: Why AI Coding Needs TDD
424
To manage the flood of AI-generated code, developers must define clear acceptance criteria upfront and use automated tools to verify behavior instead of manually reviewing diffs.
RFC 406i: Standardized Rejection of AI-Generated Slop
305
A technical protocol for maintainers to identify, reject, and penalize low-effort AI-generated contributions to software projects.
Build the Independent Auditor: Autonomous AI Code Review with Closed Loops
351
Build the independent auditor and automate the review loop so code validation can run itself.
Comprehension Debt: The Hidden Cost of Fast AI Code
532
Rapidly shipping unread LLM-generated code creates a mounting comprehension debt that will slow teams down when real changes are needed.
Make AI Work in Big Repos: Spec-First Workflow and Frequent Intentional Compaction
517
Make AI work in big, messy repos by compacting context and reviewing specs, not just code: research → plan → implement, with humans focused upstream.
GPT‑5-Codex Lands in Codex Tools, API Coming Soon, With Big Push on Code Review
OpenAI’s GPT‑5-Codex is a tooling-first, code-focused upgrade that boosts review and refactoring while the API and polish catch up.
Async Programming as a Workflow: Specify, Automate, Review
123
Define problems clearly, automate verification, and review thoroughly so AI can build in the background while you focus on higher-leverage engineering work.
Ship Faster by Orchestrating Parallel AI Coding Agents
Run many AI coding agents in parallel, orchestrate and review their work, and you’ll ship more by trading precision for throughput.