Claude Code Tips for Teams: Shared Conventions, Shared Context

Most Claude Code tips are written for one developer and one laptop. They stop working the moment five developers on the same repo all run agents with different habits, different CLAUDE.md files, and different ideas about what the agent is allowed to do. One person's agent writes beautiful conventional commits. Another's force-pushes to main. A third one's "helpful refactor" touches forty files nobody asked about.

Teams do not need better prompts. They need shared conventions, and a way to keep context from getting trapped in individual sessions. Here is what that looks like in practice.

Standardize CLAUDE.md and review it like code

If every developer maintains their own CLAUDE.md, your agents are effectively working under different team leads. Agree on one template for the repo: architecture overview, enforced conventions, testing expectations, and the explicit never-do list. Put it in version control, and review changes to it the way you review code, because it has the same blast radius. A CLAUDE.md change silently alters what every agent on the team will do tomorrow.

One useful pattern: keep a short repo-level CLAUDE.md for project facts, and let each developer keep personal working preferences in their own global config. Shared facts in the repo, personal taste outside it.

Share skills and slash commands through git, not chat

The moment someone on the team builds a good skill (review this PR the way we do it here, scaffold a migration, draft release notes from commits), it should go into the repo where everyone gets it. Skills and slash commands are team knowledge in executable form. If they live in one person's config, they are folklore. If they live in git, they are infrastructure. The same goes for useful slash commands: version them, name them clearly, document what each one assumes.

Run the same MCP servers across the team

An agent is only as useful as the tools it can reach. Agree as a team on which MCP servers everyone connects: the database, the issue tracker, the docs, the internal APIs. When every developer's agent can see the same systems, "the agent checked the staging database" means the same thing no matter who ran it. This is also where you standardize the read-only boundary: which servers are safe for any agent to query, and which ones need a human in the loop.

Agree on how agent output gets committed

This is the tip teams skip and then regret. Decide upfront: agents work on branches, never on main. Commit messages follow the team's convention (have the agent write them, but review them). PR descriptions explain what the agent did and what it verified. Large agent-generated changes get split the same way human changes do. These rules feel bureaucratic until the first time someone has to review a 3,000-line diff with the message "refactor."

Review agent output like a junior developer's PR

The review bar does not change because an agent wrote the code. Read the diff, not the summary. Check that tests actually cover the change rather than just existing. Be especially suspicious of refactors that touch files outside the task, that is the most common agent failure mode on teams. The developers who trust agents the most are the ones who review their output the most carefully, because that review is what makes the trust justified.

Fix the team memory problem: decisions trapped in one person's sessions

Here is the problem no convention file solves. A developer spends a Tuesday afternoon with Claude Code working through a tricky design decision. The reasoning, the rejected alternatives, the constraint the stakeholder mentioned, all of it lives in that one session. Wednesday, a teammate picks up related work with a fresh agent that knows none of it. The team re-litigates the decision because the context never left the first person's laptop.

Part of the fix is cultural: durable decisions go into the shared CLAUDE.md, the skills repo, or the docs, not just into a chat. But there is a second half that conventions cannot cover, which is each developer's own working context. Every developer on the team is re-teaching their agents the same project state every morning, losing their own thread every time they switch tools, rebuilding context they already built last week.

That is what Vilix AI fixes. It is a shared memory and work-state layer that connects to Claude Code (and Codex, Cursor, OpenClaw, Hermes, and any MCP-compatible AI) over MCP, tied to each developer's account. Each developer connects their clients separately, and from then on their memory follows them across every tool they use. At the start of a session the agent calls get_context and loads the relevant saved context: project state, past decisions, standing rules, where the work stopped. As the session runs, save_turn saves the exchange. Retrieval is semantic, so it finds what was meant rather than dumping the archive, and when conflicting info gets saved, the most recent save wins.

The practical effect for a team: no developer starts from zero on Monday. Nobody loses their thread switching from Claude Code to Codex mid-task. Each person's projects, tasks, and rules stay organized in one place their tools can all read, on their laptop and their phone. The team's shared layer is the repo. Each developer's persistent layer is Vilix AI.

One honest caveat, because nobody selling memory tooling tells you this: the model decides when to call the memory tools, and models can be lazy about it. The team habit worth establishing is the nudge: "check Vilix AI for context first." Then it works. That is how MCP works, and it is worth knowing upfront.

Why teams adopt it

Vilix AI is cloud-hosted, so there is nothing to install and no infrastructure for anyone to manage, which matters when you are rolling something out to a whole team. It stores full conversation history, not just extracted facts. Data is portable: export everything or delete individual memories (or the whole account) at any time. There is a free plan so each developer can try it individually, and a 7-day Pro trial with no credit card.

Standardize the conventions in the repo. Give every developer memory that survives the session. That is the whole playbook: https://vilix.ai?utm_source=blog&utm_medium=article&utm_campaign=claude-code-tips-teams