Clear Team Rules Make Claude Code Easier to Guide
Clear instructions turn team habits into usable guidance
Claude Code can explore a repository, suggest changes, and help with everyday development. It does not arrive knowing the unwritten rules your team follows. A solution can work and still put validation in the wrong layer, introduce an unnecessary dependency, or use a testing style nobody wants to maintain.
Teaching those conventions is less about writing a perfect prompt and more about creating a small, reliable onboarding guide. Start with the decisions a new teammate would otherwise learn through repeated review comments. Give Claude Code those expectations before it begins changing things.
Project memory should capture decisions rather than documentation
Claude Code supports persistent project instructions through its memory system. These instructions provide context across sessions, reducing the need to repeat the same guidance in every conversation. They are instructions available to the assistant, not training that changes the underlying model.
Use shared project memory for team agreements. Keep personal preferences in personal memory rather than imposing them on everyone. More narrowly scoped instructions can capture conventions that apply only to a particular part of a repository. Check the memory features supported by your installed version before organizing a large instruction hierarchy.
Write down the rules that change implementation choices. Good candidates include where business logic belongs, when a new dependency needs approval, and the tests expected for a bug fix. Avoid copying an entire handbook into memory. Long, repetitive instructions consume context and make important details harder to distinguish.
Concrete examples make conventions easier to follow
A rule such as “follow our architecture” leaves too much room for interpretation. Explain the boundary instead: request handlers should coordinate work, while domain decisions belong in the domain layer. Then identify an existing component that demonstrates the pattern and describe the features worth copying.
Separate mandatory rules from preferences. A ban on recording secrets in logs is a requirement. Favoring a particular naming style may be a preference with reasonable exceptions. Clear priorities help Claude Code handle trade-offs without treating every sentence as equally strict.
Include a fallback for uncertainty. Ask it to explain a proposed exception before proceeding, especially when a change affects public interfaces, stored data, or dependencies. This creates a useful pause rather than encouraging a confident guess.
A small real task reveals missing guidance
Test the instructions on a limited change that your team understands well. Before implementation, ask Claude Code to describe the relevant conventions and its intended approach. That gives you a chance to catch a misunderstanding before reviewing a larger patch.
Review both the result and the reasoning behind important choices. Did it reuse an existing abstraction? Did it add the appropriate regression test? Did it avoid unrelated cleanup? When it misses a convention, check whether the guidance was absent, ambiguous, or contradicted elsewhere.
Update the shared instructions when the lesson applies broadly. Keep temporary task details in the conversation. Persistent memory should not become a collection of yesterday's tickets.
Access choices do not replace repository guidance
This article is published by BestRelay, a quality-first API relay that forwards each request to the official model named in it, without substitution. It covers Claude, GPT, Gemini, DeepSeek, Kimi, GLM, Qwen, Grok, and more, and works with Claude Code, Codex, Gemini CLI, and any OpenAI SDK.
Billing is pay-as-you-go using provider-reported token counts, with cache reads and writes priced separately. Members also earn a referral commission when people they invite top up. Create a BestRelay account if that access model suits your workflow.
Regardless of your access setup, keep expectations grounded: project instructions guide behavior but do not guarantee compliance. Automated checks and human review remain essential. The strongest setup combines short, maintained guidance with tests that enforce rules wherever practical. Treat the instructions as part of the repository's working documentation, and revise them as the team's conventions change.
Want to try the models discussed here? Sign up