Practice Exams:

Anthropic CCA-F: Claude Code Configuration and Workflows

Programming & Development

Claude Code Configuration & Workflows is a dedicated 20% domain in Claude Certified Architect – Foundations. The architectural skill is not memorizing every command. It is understanding how repository instructions, scoped rules, permissions, settings, external tools, and workflow conventions shape what Claude Code can see and do. A well-configured environment gives Claude enough context to work effectively while keeping high-impact actions reviewable and team behavior consistent.

On this page
  1. Treat the repository as the operating context
  2. Use concise project instructions
  3. Scope rules instead of growing one giant file
  4. Separate configuration by purpose
  5. Understand configuration precedence
  6. Design permission boundaries
  7. Use plan-first workflows
  8. Connect external systems through MCP
  9. Use hooks and automation deliberately
  10. Manage large-repository context
  11. Make team configuration reviewable
  12. Protect secrets and untrusted content
  13. Test configuration changes
  14. Review Claude Code for CCA-F

Treat the repository as Claude Code’s operating context

Claude Code works inside a development environment where files, build systems, tests, version control, project instructions, permissions, and external integrations shape the task.

The repository is more than source code. Architecture notes, package configuration, tests, scripts, issue context, and operational conventions can all influence whether a change is correct.

Use initialization early on repositories that will be used repeatedly so project-specific guidance can capture important build commands, structure, and conventions.

For CCA-F, the key idea is that configuration creates a harness around the coding agent. Good defaults reduce repeated prompting and make team behavior more predictable.

Use concise project instructions for durable repository knowledge

Project instructions should contain information that remains useful across many tasks: architecture boundaries, build and test commands, style expectations, generated files, risky areas, and important workflow conventions.

Avoid turning the instruction file into a complete project encyclopedia. Long low-value instructions consume context and can weaken adherence to guidance that actually matters.

Write instructions in operational language. Telling Claude to run a specific test command after changing a package is more useful than a vague statement to ensure quality.

The Claude Development pillar uses the same principle for application prompting: durable behavior should be explicit, testable, and versioned.

Scope rules instead of growing one giant instruction file

Large repositories often have different conventions for frontend, backend, infrastructure, tests, generated code, or documentation.

Use modular or scoped rules so guidance is loaded where it applies rather than forcing every task to carry every instruction.

Scoped rules also reduce contradiction. A repository can define different expectations for migration files and application code without relying on the model to reconcile a long list of exceptions.

Review rules when the repository structure changes. Old path-specific guidance can become misleading after a refactor.

Separate configuration by purpose and ownership

Settings can control permissions, behavior, integrations, and team policy. The architect should decide which settings belong to the repository, which are user-specific, and which are centrally managed.

Team-shared configuration should be versioned and reviewed like code because one settings change can affect many developers or automated workflows.

Local developer preferences should not silently override controls the organization depends on for security or reproducibility.

Document why nondefault settings exist so future maintainers can distinguish intentional policy from historical experimentation.

Understand configuration precedence and avoid accidental policy bypass

Claude Code can receive configuration from more than one scope, so architects should know which layer is intended for personal preference, project behavior, and organization-enforced policy.

Keep mandatory restrictions in managed or centrally controlled settings rather than relying on a repository convention that individual users can casually change.

Use project configuration for behavior that should travel with the repository, while keeping developer-specific convenience settings separate when they do not need to affect teammates.

When two layers conflict, test the effective behavior instead of assuming the file you edited is the one that wins. Configuration governance depends on the final enforced state, not merely the presence of a setting.

Design permission boundaries around consequence

Claude Code can read, edit, run commands, and interact with external tools depending on the configured mode and permissions.

Permissions should reflect consequence. Reading source code, changing a documentation file, running a test, applying an infrastructure change, and pushing a production deployment do not deserve the same default authority.

Current Claude Code workflows provide ways to allow routine operations, request approval for riskier actions, or use read-oriented planning modes before changes are made.

Do not solve approval fatigue by granting broad persistent permission to everything. Narrow repetitive permissions are easier to reason about and revoke.

Use plan-first workflows when the change is broad or risky

A plan-first workflow separates understanding from modification. Claude can inspect the repository, explain intended changes, surface dependencies, and wait for approval before editing.

This is useful for migrations, security-sensitive changes, large refactors, and unfamiliar repositories where an early wrong assumption would create widespread edits.

The reviewer should evaluate affected files, tests, migration requirements, operational consequences, and rollback—not only whether the proposed code sounds reasonable.

Once the plan is accepted, execution can proceed with a clearer scope and fewer exploratory changes.

Connect Claude Code to external systems through MCP deliberately

MCP can give Claude Code access to issue trackers, design systems, monitoring, databases, internal APIs, and other context or actions that live outside the repository.

The dedicated MCP Server Design and Integration guide covers tools, resources, prompts, authentication, and context-efficient server design.

For Claude Code, decide which servers belong at project scope, which capabilities should be shared with the team, and which high-impact actions require approval.

Do not connect external systems merely to avoid copying text. Each integration expands the data and authority available to the coding agent and should have a clear purpose.

Use hooks and automation deliberately

Hooks and workflow automation can enforce or trigger behavior around Claude Code activity. They can support validation, policy checks, formatting, notifications, or other repeatable tasks.

Treat automated hooks as code with side effects. A hook that runs silently on many operations can create latency, mutate state, or leak data if its scope is poorly designed.

Keep high-consequence policy in enforceable systems rather than only reminding the model in natural-language instructions.

Version and test automation so the team can understand which behavior came from Claude, which came from a hook, and which came from the underlying toolchain.

Manage large-repository context progressively

Large repositories contain more code than any one task requires. Loading broad context by default can increase latency and make important local information harder to distinguish.

Use project structure, scoped instructions, search, references, and incremental exploration so Claude gathers context around the task rather than reading everything.

Store architectural facts that should remain stable in project guidance, but keep task-specific evidence close to the current problem.

When working across many modules, ask for explicit dependency and test impact before accepting wide changes.

Make team configuration reviewable and portable

A productive individual setup is not automatically a good team setup. Shared rules and settings need ownership, documentation, version control, and a review process.

Keep repository-level configuration close to the code so branches and releases can evolve together when appropriate.

Use centrally managed policy for organization-wide restrictions that should not depend on individual preference.

Document expected onboarding steps so new contributors inherit the same build, test, permission, and external-tool assumptions as the rest of the team.

Protect secrets, untrusted content, and execution boundaries

Do not place API keys, tokens, passwords, or sensitive production data inside instruction files simply because Claude can read them.

Repository content can also be untrusted. Generated files, vendored code, issue text, documentation, or external resources may contain instructions that should not override trusted project policy.

Use normal secret-management and access-control mechanisms, and keep the coding agent’s runtime identity narrowly scoped.

High-impact commands should remain behind appropriate review or automation policy even when the model is highly capable.

Test configuration changes like application changes

When instructions, rules, permissions, or integrations change, run representative tasks to see whether the new configuration improves behavior without creating regressions.

Test common workflows and edge cases: small edits, multi-file refactors, failed commands, unavailable MCP servers, permission denials, and tasks that cross scoped rule boundaries.

Review logs and diffs rather than judging only the final natural-language response. The important question is what the coding agent actually changed and executed.

Configuration should evolve from evidence. If a rule repeatedly causes confusion or a permission is always overridden, redesign the workflow instead of adding more prose.

Review Claude Code Configuration & Workflows for CCA-F

Understand repository instructions, scoped rules, settings ownership, precedence, permissions, plan-first workflows, MCP connectivity, hooks, and large-repository context strategy.

Keep durable guidance concise, keep secrets out of prompts and configuration, and preserve enforceable policy outside model instructions.

Make team configuration versioned, reviewable, and testable so Claude Code behavior is not dependent on undocumented local setup.

For Domain 3, the strongest answer explains how configuration creates a controlled development harness around Claude Code rather than treating it as a collection of commands.

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Related guides

Claude DevelopmentConnect Claude Code configuration to broader development, tools, retrieval, and prompt workflows.MCP Server Design and IntegrationDesign the external systems and capabilities Claude Code can access.Claude Code for Large RepositoriesGo deeper on repository-scale context and development workflows.Claude Production EngineeringConnect coding workflows to production reliability and change control.

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