Nest workflow sections under choosing a workflow heading

guides/developer/dashboards-as-code.mdx

@@ -16,11 +16,11 @@ There are two main approaches to working with dashboards as code. You can mix an
 | **Setup complexity** | Minimal — just the CLI | Requires CI/CD and space permissions |
 | **Best for** | Quick edits, AI-assisted changes, ad-hoc updates | Regulated environments, multi-instance deployments, teams that want strict change control |
 
-## Disposable editing (recommended)
+### Disposable editing (recommended)
 
 When using dashboards as code with AI agents or CLI tools, we recommend treating the downloaded files as **temporary working files** rather than a permanent source of truth. This is the best starting point for most teams.
 
-### The disposable workflow
+#### The disposable workflow
 
 1. **Download** the content you want to edit using `lightdash download`
 2. **Make your changes** locally (manually or with AI assistance)
@@ -29,27 +29,27 @@ When using dashboards as code with AI agents or CLI tools, we recommend treating
 
 This approach keeps the Lightdash application as your source of truth while still enabling powerful code-based editing workflows.
 
-### Why disposable?
+#### Why disposable?
 
 Treating dashboards as code as disposable config files provides flexibility:
 
 - **UI changes remain easy** — team members can continue making updates directly in the Lightdash UI without needing to sync a codebase
 - **No repository maintenance** — you avoid the overhead of keeping code files synchronized with UI changes
 - **Best of both worlds** — you get the power of code-based editing and AI assistance without the rigidity of a code-first workflow
 
-## Git-managed dashboards
+### Git-managed dashboards
 
 An alternative approach where your **Git repository is the single source of truth** for charts and dashboards. All changes flow through version control, and the UI is read-only for managed content.
 
-### When to use this workflow
+#### When to use this workflow
 
 - You want a full audit trail of every dashboard change via Git history
 - You want to enforce review processes (pull requests, approvals) before changes reach production
 - You're comfortable with all edits happening in code rather than the UI
 - You want to validate dashboard changes in [preview environments](/guides/developer/preview-projects) before merging
 - You're deploying the same content across multiple Lightdash instances
 
-### Lock down the UI
+#### Lock down the UI
 
 For this workflow to succeed, you need to prevent ad-hoc UI edits from drifting out of sync with your repository. Use **space permissions** to enforce this:
 
@@ -58,7 +58,7 @@ For this workflow to succeed, you need to prevent ad-hoc UI edits from drifting
 
 You don't have to manage everything this way. Organize code-managed content into specific spaces with restricted permissions, and leave other spaces open for UI editing.
 
-### Making changes
+#### Making changes
 
 The typical workflow for editing Git-managed dashboards:
 
@@ -69,7 +69,7 @@ The typical workflow for editing Git-managed dashboards:
 5. **Open a pull request** — once the changes look good in the preview, commit and open a PR for review
 6. **Merge and deploy** — on merge to your main branch, a CI job runs `lightdash deploy` and `lightdash upload --force` to push changes to production
 
-### CI/CD setup
+#### CI/CD setup
 
 To fully automate this workflow, set up two CI jobs: