Does Code Cleanliness Affect Coding Agents?

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Does Code Cleanliness Affect Coding Agents?
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Article URL: https://arxiv.org/abs/2605.20049

Comments URL: https://news.ycombinator.com/item?id=48798815

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The Story At A Glance
  • • Clean code reduces AI token consumption by roughly 8% and reasoning effort by 11%.

  • • Messy code causes agents to re-read files 34% more often due to navigational confusion.

  • • AI agents amplify existing patterns, meaning they generate more technical debt when working in unclean environments.
Context
Researchers at SonarSource used minimal-pair experiments to isolate how code cleanliness affects AI coding agents. The study proves that while task completion rates remain stable, messy code significantly increases operational costs and complexity.

Christian Perspective
Order and clarity are divine principles, as God brought structure to chaos during creation. This study demonstrates that even artificial intelligence functions more effectively when operating within a structured and orderly framework. Neglecting cleanliness leads to unnecessary toil and wasted resources, which contradicts the biblical mandate for stewardship.

Implications
As AI becomes central to the American economy, maintaining high standards of excellence is vital for national competitiveness. Relying on sloppy, low-quality systems will lead to massive economic waste and inefficiency. For Christian builders, prioritizing precision and order ensures that technology serves as a tool for progress rather than a source of chaos.

Broader Trends
The trend toward AI-driven development mirrors the broader cultural shift toward automation and the potential erosion of human craftsmanship. There is a risk that globalist interests will use cheap, messy AI outputs to replace skilled American workers with low-quality, automated processes. Protecting high standards of work is essential to maintaining the integrity of our national infrastructure.

Takeaway
Embrace the principle of excellence in all technical endeavors to ensure American technological dominance. Avoid the path of least resistance and laziness, as both lead to systemic decay and wasted energy. Build with order and precision to create a foundation that is both efficient and sustainable for future generations.

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Source for this news story

arXiv.org

Does Code Cleanliness Affect Coding Agents? A Controlled Minimal-Pair Study

As autonomous coding agents see rapid adoption, their evaluation has primarily focused on task completion rates holding the target codebase fixed. This leaves a critical question unanswered: does the structural and stylistic quality, or ``cleanliness″ of the underlying code affect an agent’s ability to navigate and modify it? To isolate the effect of code cleanliness from agent capability, we introduce an evaluation protocol built around minimal pairs: repositories that match on architecture, dependencies, and external behaviour, but differ on static-analysis rule violations and cognitive complexity. The pairs are constructed in both directions, by agent pipelines that either degrade a clean repository or clean a messy one. We author 33 tasks across six such pairs, evaluated through hidden tests at the application’s public surface. Across 660 trials with Claude Code, code cleanliness does not change the agent’s pass rate. However, it substantially alters the agent’s operational footprint: agents working on cleaner code use 7 to 8% fewer tokens and reduce file revisitations by 34%. Our findings suggest that traditional maintainability principles remain highly relevant in the era of AI-driven development, shaping the computational cost and navigational efficiency of coding agents. Code cleanliness joins model choice, harness, and prompting as a factor that materially affects agent behaviours.

arxiv.org

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