@fayazara: I put “do not overengineer” in my AGENTS.md. it created a lightweight extensible overengineering prevention framework
Summary
A developer shared that adding 'do not overengineer' to their AGENTS.md file resulted in the creation of a lightweight extensible framework to prevent overengineering.
View Cached Full Text
Cached at: 09/15/26, 11:45 AM
I put “do not overengineer” in my AGENTS.md.
it created a lightweight extensible overengineering prevention framework
Similar Articles
@billtheinvestor: 开发系统最极致高效的Agents.md,没有之一: # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the …
A developer shares a comprehensive Agents.md template with core principles for building and maintaining trading systems using AI agents, covering strategy development, engineering standards, and scope discipline.
@bibryam: Using Agents, Keeping Agency. https://devindickerson.dev/posts/using-agents-keeping-agency/…
A blog post warns that AI coding agents often default to popular but unsuitable technologies, incurring technical debt, and urges developers to retain agency in architectural decisions.
@rafaelobitten: After spending way too many tokens with Codex @OpenAIDevs especially Astra over the past week, I ended up adding these …
A developer shares coding guidelines added to AGENTS.md after using Codex to reduce overengineering, improve efficiency, and follow best practices like using open-source libraries and writing meaningful tests.
@hqmank: Codex Sol's overengineering problem is real. Small task, 3x the code you asked for. This AGENTS.md approach fixes it
This article discusses the overengineering problem in Codex Sol AI models, which generate excessive code for simple tasks, and proposes an AGENTS.md approach to mitigate this issue.
AI agents recreate the “rockstar developer” problem, just faster
The post compares AI agents to 'rockstar developers' who create clever but unmaintainable code, pointing out that agents lack memory of their own actions. It recommends using visible conventions like AGENTS.md, ADRs, and tests to keep agent-generated code understandable by the team.