What we assess in your repository
- Whether a CLAUDE.md already exists, how long it has grown and what it actually covers
- The real commands for test, build, lint and type checks, and whether an agent can run them unattended
- Repository layout: single project, monorepo or several repositories, and which parts need their own rules
- Which directories, files and commands are sensitive: migrations, deploy scripts, environment files
- How branches, review and releases work today, and where an agent's work would enter that flow
- Which Claude Code plan and admin controls your organisation has, since some controls depend on them
The instruction layer: CLAUDE.md
Claude Code reads project instructions from CLAUDE.md, either at the repository root or inside .claude, with a personal local variant and a user-level file for individual preferences. Organisations can also distribute a managed CLAUDE.md. The content is loaded as context, not as enforced configuration, and it works best when it is short; the vendor's own guidance is to stay under about 200 lines and to split detail out through imports and path-scoped rule files.
We write the file around what the model cannot infer: the exact test and build commands, the conventions that are not obvious from the code, and the areas to leave alone. If your team also uses other assistants, one shared source is easier to maintain. Claude Code reads AGENTS.md only in defined cases and needs a recent version; the documented sharing pattern is a CLAUDE.md that imports AGENTS.md. We confirm which applies to your version at assessment.
A line in CLAUDE.md is a request the model usually follows, not a rule it is bound by. Anything that must hold goes into the enforced layer below.
Enforced guardrails: permissions, hooks and the sandbox
Enforcement in Claude Code comes from settings, not from prose. Shared project settings sit in the repository, personal settings stay local, and managed settings sit above both.
- Permission rules with allow, ask and deny entries, evaluated with deny first, so a denied action stays denied whatever a later rule says
- Permission modes chosen deliberately, from asking for every action to plan-only, and a decision on whether the no-prompt bypass mode is allowed at all; managed settings can switch it off
- Hooks: scripts that run at set points in the agent's work, where a blocking hook stops an action deterministically. The vendor documents an instruction in CLAUDE.md as a request and a blocking hook as enforcement
- The Bash sandbox, which applies operating-system-level file and network isolation to shell commands. It is built in on macOS, uses bubblewrap on Linux and WSL2, and is not available on native Windows. It covers shell commands, not every tool the agent has
Limits of each guard
A deny rule on a shell command matches the command text, so the same action can sometimes be reached by a differently written command; the vendor's guidance is to pair such rules with the sandbox. A hook only protects what it is written to catch. The sandbox does not cover everything. Because of this we layer the guards and write down, per rule, what it does and does not stop.
Isolating parallel tasks
When several tasks or several developers use Claude Code at once, they need separate working trees. Claude Code can start a session in an isolated checkout on its own branch with a named worktree, and subagents defined in the repository can be limited to specific tools and run in their own worktree. We agree a convention for naming and cleaning these up, so unrelated work is protected and each change arrives as a reviewable branch.
Skills, which are short markdown procedures, carry the repeatable parts: how to prepare a release, how to review a change, how to run the checks in your particular repository. We write a small number that the team will use rather than a large library nobody reads.
Team and organisation controls
Where your plan and setup allow it, managed settings can enforce permission rules, sandbox use, environment variables, login restrictions and MCP server allow and deny lists for everyone, in a way individual users cannot override. MCP servers are external tools the agent can call, so which ones are permitted is a security decision, not a convenience. Which of these controls apply depends on your plan and how it is administered; we confirm that at assessment and do not assume it.
Claude Code in CI and code review
Claude Code can run non-interactively, and the vendor provides GitHub Actions and GitLab CI/CD integrations, including code review on pull requests. We add these only where they fit your pipeline and your risk appetite, with the permissions of the job kept as narrow as the task. A review by the agent is a first pass; it does not replace a human reviewer.
Secrets and the deployment boundary
We agree in writing what the agent may read, which environment files it cannot open, and how credentials reach commands it runs. The deployment boundary is explicit: the agent may prepare and test a change, and a person triggers anything that reaches production. Rules and permissions support this, but the boundary is only as strong as the credentials the agent can reach, so we review that too. We do not claim a mechanism that strips secrets from Claude Code sessions automatically.
Onboarding and handover
Your developers get a short written procedure and a working session in their own repository: how to start a task, when to use plan mode, what to check before merging, and when not to use the agent. A named owner on your side keeps the instructions and settings current.
How this differs from neighbouring pages
AI-Assisted Development Environment is the vendor-neutral workflow; this page is the Claude Code mechanics inside it. Claude Implementation for Business is for non-developer staff using Claude in a workspace, not for developers working in a repository. Development Infrastructure Setup is the base layer of repositories, CI and releases.
What this does not promise
We do not promise productivity figures, autonomous engineering or the removal of code review. We do not claim compatibility with every repository. We do not certify security or compliance for any tool. Scope is set after we have looked at the repository; timeline depends on repository complexity and existing CI/CD. Project delivery is in English.
How it works
- 1
Repository and workflow assessment
We look at your repository, branching, build, test and release process and the AI tools already in use — read-only, before anything is changed.
- 2
Risks and useful tasks
Where an agent could do harm in this repository, and which tasks are worth delegating to one. You get this in writing, in plain language.
- 3
Permissions, isolation and approval points
What agents may do alone, what needs a person's approval, how parallel tasks are kept apart and where a human must review.
- 4
Project instructions and tool boundaries
Shared instructions for the repository plus the permissions, sandbox and hooks that enforce the important rules, configured inside your own accounts.
- 5
Test, build, lint and CI gates
The checks that must pass before merge or deploy, connected to what you already run where that fits, with secrets and environment rules.
- 6
Validate on real tasks
We run representative tasks through the workflow with your developers and adjust the rules that did not hold up.
- 7
Document and hand over
A written operating procedure with a named owner and onboarding for the team, so the workflow runs without us. Scope and timeline are agreed in writing before configuration starts.
Is this the right page?
- 1 Assess
- 2 Implement
- 3 Automate
- 4 Build
Choose this page if your developers use or plan to use Claude Code and you want it configured for your existing repository.
- Choose AI-Assisted Development Environment instead if you want the tool-neutral workflow first, or use several tools.
- Choose Development Infrastructure Setup instead if repositories, CI or releases are the bigger gap.
What usually comes next
Not a package — only where it makes sense once this is done.
- AI-Assisted Development Environment
one shared workflow across the tools your team uses
Who you would be working with
- Company · Who you would be working with
- LATYNEX Digital is a service line of Latynex Trade OÜ, a company registered in Estonia (EU). Contact: info@latynexdigital.com.
- How we work · Delivery
- Remote, in English, with the person who would run the project. No local office is implied in any market.
- How we work · Commercial terms
- One scope and one price, agreed in writing before work starts. Your accounts, code and domain stay yours; any access we use is granted by you and can be withdrawn.
There are no client case studies on this page, and none are implied. What LATYNEX has built and runs itself is on the portfolio, each system labelled by stage. Published prices are on the pricing page; anything not listed there is scoped and quoted after review.
Questions
Is CLAUDE.md enough to keep the agent in line?+
No. It is context the model reads, not enforced configuration. Boundaries that must hold go into permission rules, hooks, the sandbox and CI checks, and each of those has limits we document.
Can Claude Code and another tool share one instruction file?+
Often. The documented pattern is a CLAUDE.md that imports AGENTS.md. It depends on the version in use, so we confirm it at assessment.
Does the sandbox cover everything the agent does?+
No. It isolates shell commands at operating-system level and is not available on native Windows. Other tools are governed by permissions and hooks.
Can we enforce rules for the whole organisation?+
Where your plan and administration allow it, managed settings can. We check what applies to you rather than assume it.
Does this replace code review?+
No. The workflow adds checks and approval points around review, and a person decides what is merged and deployed.
How long will it take?+
It is scoped after a review of your repository and depends on repository complexity and existing CI/CD. We make no time promises here.