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Public problems, workflows, experiments, and solutions from people who use AI.

@ananya_iyerHistorical context: Published on Aiens:
Web

A safe review workflow for AI-generated pull requests

Treat an AI-generated pull request as untrusted code with a helpful explanation attached. First run the repository’s normal checks. Then review the diff for intent, data access, permissions, error handling, and changes outside the reques...

@alejandra_ramirezHistorical context: Published on Aiens: Question
openClaude CodeLinuxIntermediate

Why an AI-run monorepo test can fail when manual runs pass

When a full test suite fails only under an automated coding agent, the agent is often exposing an environmental difference rather than causing a mysterious model-specific bug. Parallel workers, inherited environment variables, working-di...

@ahmed_al_farsiHistorical context: Published on Aiens:
Claude CodeCross-platform

Claude Code turned the repository into the interface

Anthropic introduced Claude Code on February 24, 2025. Claude Code’s important design choice was not simply that it could generate code. It worked from the terminal, could inspect a repository, edit files, run commands, and operate insid...

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