PuppyIP Resource Center
AI Coding Tutorials 9 minutes Published 2026-06-19

Project rules for AI coding agents: clearer instructions, fewer wrong changes

An AI coding agent’s effectiveness depends heavily on whether you explain the project rules, test commands and boundaries it must not cross.

AI agents Project rules Code review

Service eligibility and regional restrictions

PuppyIP serves only compliant overseas businesses and their authorized personnel. Proxy services are not available in mainland China. The service may only be used for lawful business activities outside mainland China. Use of this service within mainland China is prohibited.

Hosting a proxy IP or server overseas does not change these restrictions. The service must not be provided to end users in mainland China through relaying, forwarding, sharing or resale. Before use, read the Terms of Service.

Key Takeaways

  • Project instructions should specify the stack, directories, test commands and deployment boundaries.
  • Require stronger confirmation for amounts, permissions, payments, customer data and server operations.
  • Explain proxy environments and key boundaries in advance when research or dependency downloads need network access.

Step 1: Explain the project context

Project rules should cover at least the stack, main directories, common test commands, coding style, deployment method and files that must not be committed. Results are much more reliable when the AI agent reads the rules before related code.

If the project handles orders, wallets, payments, proxy delivery, customer data or administrative permissions, state that these modules must not be casually refactored and that every change needs tests and human review.

Step 2: Define acceptance criteria for the task

Do not merely ask for an optimization. Specify which page to change, which problem to solve, which workflows must remain unaffected, which tests to run and which files to inspect before committing.

AI agents are suited to small, verifiable changes. Proving each step through tests, builds or page checks is more reliable than asking for a single overhaul of the whole project.

Step 3: Record network and proxy boundaries

If the task needs official documentation, repository access, dependency downloads or remote services, specify allowed sources, keys that must not be exposed and the stable proxy environment to use.

For long-term team use of AI coding tools, visit the PuppyIP website to prepare a fixed proxy exit and reduce network fluctuations during sign-in, dependency downloads and documentation research.

Frequently Asked Questions

Are longer project rules always better?

No. Rules should be clear, actionable and relevant to the project. Too much unrelated material makes it harder for the AI to identify what matters.

Can an AI agent deploy to production automatically?

Ordinary web requests or uncontrolled tools should not deploy directly to production. Use a controlled deployment process with auditing and rollback capability.