A $10 Shared AI Budget for a Tiny Coding Team

A tiny team does not need four expensive AI subscriptions to get useful coding assistance. A shared setup can work with a small pay-as-you-go budget, provided you separate configuration, access, and spending controls.

This walkthrough uses CheapRelay as the common API layer. It offers one API base for multiple model providers, charges for actual token usage, and has no monthly fee or subscription. That makes it easier to start with a fixed team budget instead of committing to several recurring plans.

01 / Set a real monthly limit before choosing a model

Start with a number your team can afford to lose, such as $10 or $25 for the first month. Treat this as a testing budget, not a promise that every month will cost the same. Token usage depends on prompt length, output length, codebase size, tool calls, and cache activity.

Write down three rules:

• ■ The team budget is shared across all coding work.
• ■ Large experiments need approval before they run.
• ■ Everyone checks usage before increasing the limit.

CheapRelay bills real token usage, including cache reads and cache writes. Caching can reduce repeated work, but it is still part of the bill, so usage reports should guide your decisions.

02 / Create one team configuration and separate credentials

Do not pass one secret API key around in chat, commits, or shell history. Keep the setup shared, but give each person a separate key when the relay supports that workflow. Individual keys make it possible to identify unexpected usage and revoke one person’s access without disrupting everyone else.

Store the common settings in a short team document or repository example file. Include the API base, selected model, and required environment variable names. Keep actual keys in each developer’s local environment file, which must be excluded from version control.

For OpenAI-compatible tools, use the CheapRelay base URL with the /v1 routes. Claude Code, Codex, and applications using an OpenAI SDK can use this style of endpoint. Gemini-native clients should use the /v1beta routes instead. Check the current client documentation before copying a command, because environment variable names differ between tools.

03 / Begin with a lower-cost model for routine work

Choose one default model for everyday tasks such as explaining errors, writing tests, reviewing small diffs, and generating routine boilerplate. The current model list includes Claude Haiku 4.5, which is a reasonable name to evaluate for this role. Use a more capable model only when the task justifies the extra token usage.

Keep the default configuration boring. A single model prevents beginners from switching models constantly and makes the team’s usage easier to compare. Record the model name in the shared setup so a new teammate can reproduce the same behavior.

04 / Make prompts and repository context cheaper

Most waste comes from repeatedly sending unnecessary context. Ask the assistant to inspect only the files relevant to the task. Avoid attaching the entire repository when a directory listing, error message, and two source files are enough.

Use a short project instruction file containing the language version, test command, formatting rules, and important architectural boundaries. This reduces repeated explanations while keeping the assistant’s context focused. Update the file when the project changes, and remove stale instructions that cause rework.

05 / Review usage once a week

Choose one person to review relay usage weekly. Look for long prompts, repeated failed requests, accidental loops, and unusually large generated files. A simple shared note with date, user, task, and approximate cost is enough for a tiny team.

If the budget is consumed too quickly, reduce context first, then switch routine tasks to a less expensive model, then tighten access. Do not increase the budget before you know what caused the increase.

06 / Keep the first month deliberately small

Sign up for CheapRelay, create the team’s documented configuration, and start with the smallest budget that allows real work. After two or four weeks, compare actual usage with the tasks completed. Keep the setup only if it saves time without creating review or security problems.

A referral can also return 20% of what invited users pay, but treat that as a bonus rather than part of the budget calculation. The reliable saving comes from pay-as-you-go billing, controlled context, and a team that can see how its tokens are being spent.