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Nick Vigilante
c84aa564ba
Normalizes non-standard code-fence language tags across `docs/**` so a strict highlighter (Shiki, used by Fumadocs) won't fail the build on an unrecognized language, and unifies redundant synonym tags onto one canonical form per language. The current renderer (Speed-Highlight) detects the language from the code content, not the fence label, so this drift wasn't visible until now. ## Changes - `hcl` -> `tf` (199 fences, including indented ones nested in numbered/bulleted lists). Shiki ships `hcl` and `terraform` as two distinct grammars (not aliases); every `hcl`-tagged fence in `docs/**` is actually Terraform resource/data/provider syntax, so the more specific `terraform` grammar is correct for all of them. `tf` is Shiki's own alias for that grammar, and it's also what GitHub's own markdown renderer resolves to the same HCL/Terraform highlighting. - `pwsh`/`powershell` -> `ps1`. Both `ps` and `ps1` are registered PowerShell aliases in Shiki, but on GitHub's renderer only `.ps1` is a registered file extension (`.ps` isn't), so `ps1` renders identically to `powershell` there today while bare `ps` would silently lose highlighting. - `env` -> `dotenv` (a dedicated Shiki grammar for `KEY=VALUE` files) - `text`/`output`/`none`/`url` -> `txt`. Same built-in plain-text fallback either way, just shorter. - `Dockerfile` -> `dockerfile` (lowercase) - `bash`/`shell` -> `sh` (732 fences). Shiki and GitHub both alias all three to a single shell grammar; this was already the style guide's stated preference, just not enforced across the existing corpus until now. - `markdown` -> `md` (4 fences). Alias of the same grammar in both Shiki and GitHub. - `jsonc` -> `json` (1 fence). The block has no comments or trailing commas, so it doesn't need the comments-capable grammar. - `ts` -> `tsx` (2 fences, `docs/about/contributing/frontend.md`). Verified the actual content tokenizes identically under both grammars, and a sibling block in the same file already needs `tsx` for real JSX, so unifying to one tag is safe for this file. Documented a caveat: `tsx` mis-tokenizes the legacy angle-bracket type-assertion syntax (`<Type>value`), which is invalid in real `.tsx` files anyway, so use `value as Type` instead. - `yml` -> `yaml` (1 fence) - Updated `docs/.style/style-guide/formatting.md` to document all canonical tags `promql` (2 fences) and `caddyfile` (2 fences) are left as-is. Shiki doesn't bundle a grammar for either, so they need a custom grammar registration when the site adopts Shiki, rather than degrading to `txt`. Tracked as follow-up work under DOCS-118 and [DOCS-544](https://linear.app/codercom/issue/DOCS-544/vendor-a-local-promql-grammar-for-shiki-syntax-highlighting) (promql). Does not touch `offlinedocs/`. Linear: [DOCS-476](https://linear.app/codercom/issue/DOCS-476/normalize-docs-code-fence-languages-de-risk-shikifumadocs) <details> <summary>How the fence tags were verified</summary> Each tag was tested against a real `shiki@latest` highlighter instance (`codeToHtml`/`codeToTokens`) and cross-checked against GitHub's `@wooorm/starry-night` grammar sources (the renderer that actually displays these `.md` files today, in repo browsing and PR diffs), since that's what determines whether brevity is safe before Shiki adoption: ```text FAIL env -- Language `env` is not included in this bundle. FAIL Dockerfile -- Language `Dockerfile` is not included in this bundle. FAIL promql -- Language `promql` is not included in this bundle. FAIL caddyfile -- Language `caddyfile` is not included in this bundle. FAIL pwsh -- Language `pwsh` is not included in this bundle. FAIL output -- Language `output` is not included in this bundle. ``` `hcl` doesn't error in Shiki, since it's a real grammar, but that's exactly the trap: it was silently rendering every fence with the generic HCL grammar instead of the Terraform-specific one. Every `hcl`-tagged fence in `docs/**` was manually checked against `origin/main` and is genuinely Terraform content. For `ts`/`tsx`, tokenizing the actual doc content confirmed identical output under both grammars; a synthetic test with the legacy angle-bracket cast syntax confirmed `tsx` degrades on that specific construct, which the style guide now calls out. The first normalization pass only matched fence tags at column 0 (`^```tag$`), missing tags indented inside numbered/bulleted lists. A follow-up pass caught the remaining occurrences at any indentation level. </details> --- *This PR description and the underlying changes were prepared with Coder Agents assistance.*
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DX
DX is a developer intelligence platform used by engineering leaders and platform engineers.
DX uses metadata attributes to assign information to individual users.
While it's common to segment users by role, level, or geo, it’s become increasingly
common to use DX attributes to better understand usage and adoption of tools.
You can create a Coder attribute in DX to segment and analyze the impact of Coder usage on a developer’s work, including:
- Understanding the needs of power users or low Coder usage across the org
- Correlate Coder usage with qualitative and quantitative engineering metrics, such as PR throughput, deployment frequency, deep work, dev environment toil, and more.
- Personalize user experiences
Requirements
- A DX subscription
- Access to Coder user data through the Coder CLI, Coder API, an IdP, or an existing Coder-DX integration
- Coordination with your DX Customer Success Manager
Extract Your Coder User List
You can use the Coder CLI, Coder API, or your Identity Provider (IdP) to extract your list of users.
If your organization already uses the Coder-DX integration, you can find a list of active Coder users directly within DX.
CLI
Use users list to export the list of users to a CSV file:
coder users list > users.csv
Visit the users list documentation for more options.
API
Use get users:
curl -X GET http://coder-server:8080/api/v2/users \
-H 'Accept: application/json' \
-H 'Coder-Session-Token: API_KEY'
To export the results to a CSV file, you can use the jq tool to process the JSON response:
curl -X GET http://coder-server:8080/api/v2/users \
-H 'Accept: application/json' \
-H 'Coder-Session-Token: API_KEY' | \
jq -r '.users | (map(keys) | add | unique) as $cols | $cols, (.[] | [.[$cols[]]] | @csv)' > users.csv
Visit the get users documentation for more options.
IdP
If your organization uses a centralized IdP to manage user accounts, you can extract user data directly from your IdP.
This is particularly useful if you need additional user attributes managed within your IdP.
Contact your DX Customer Success Manager
Provide the file to your dedicated DX Customer Success Manager (CSM).
Your CSM will import the CSV of individuals using Coder, as well as usage frequency (if applicable) into DX to create a Coder attribute.
After the attribute is uploaded, you'll have a Coder filter option within your DX reports allowing you to:
- Perform cohort analysis (Coder user vs non-user)
- Understand unique behaviors and patterns across your Coder users
- Run a study or setup a PlatformX event for deeper analysis