fix(docs): replace broken relative link with inline code reference (#465)

WilliamBerryiii · web-flow · commit 8133b3634f37 · 2026-02-10T09:10:49.000-08:00
## Description Replaced a broken markdown hyperlink in `docs/rpi/why-rpi.md` with inline code formatting. The link in "The Difference in Practice" section pointed to `../infrastructure/modules/base/variables.tf#L47`, a path that does not exist in this repository. The text is hypothetical Task Researcher output meant to illustrate RPI behavior, not a navigable reference. - fix(docs): converted `[variables.tf#L47](../infrastructure/modules/base/variables.tf#L47)` to `` `variables.tf#L47` `` in the example output on line 55 ## Related Issue(s) Closes #446 ## Type of Change Select all that apply: **Code & Documentation:** - [x] Bug fix (non-breaking change fixing an issue) - [ ] New feature (non-breaking change adding functionality) - [ ] Breaking change (fix or feature causing existing functionality to change) - [x] Documentation update **Infrastructure & Configuration:** - [ ] GitHub Actions workflow - [ ] Linting configuration (markdown, PowerShell, etc.) - [ ] Security configuration - [ ] DevContainer configuration - [ ] Dependency update **AI Artifacts:** - [ ] Reviewed contribution with `prompt-builder` agent and addressed all feedback - [ ] Copilot instructions (`.github/instructions/*.instructions.md`) - [ ] Copilot prompt (`.github/prompts/*.prompt.md`) - [ ] Copilot agent (`.github/agents/*.agent.md`) - [ ] Copilot skill (`.github/skills/*/SKILL.md`) > **Note for AI Artifact Contributors**: > > - **Agents**: Research, indexing/referencing other project (using standard VS Code GitHub Copilot/MCP tools), planning, and general implementation agents likely already exist. Review `.github/agents/` before creating new ones. > - **Skills**: Must include both bash and PowerShell scripts. See [Skills](../docs/contributing/skills.md). > - **Model Versions**: Only contributions targeting the **latest Anthropic and OpenAI models** will be accepted. Older model versions (e.g., GPT-3.5, Claude 3) will be rejected. > - See [Agents Not Accepted](../docs/contributing/custom-agents.md#agents-not-accepted) and [Model Version Requirements](../docs/contributing/ai-artifacts-common.md#model-version-requirements). **Other:** - [ ] Script/automation (`.ps1`, `.sh`, `.py`) - [ ] Other (please describe): ## Testing - Ran `npm run lint:md` — 132 files linted, 0 errors ## Checklist ### Required Checks - [x] Documentation is updated (if applicable) - [x] Files follow existing naming conventions - [x] Changes are backwards compatible (if applicable) - [ ] Tests added for new functionality (if applicable) ### Required Automated Checks The following validation commands must pass before merging: - [x] Markdown linting: `npm run lint:md` - [ ] Spell checking: `npm run spell-check` - [ ] Frontmatter validation: `npm run lint:frontmatter` - [ ] Link validation: `npm run lint:md-links` - [ ] PowerShell analysis: `npm run lint:ps` ## Security Considerations - [x] This PR does not contain any sensitive or NDA information - [ ] Any new dependencies have been reviewed for security issues - [x] Security-related scripts follow the principle of least privilege ## Additional Notes - Milestone: v2.3.0 (due 2026-02-11) - The issue body mentioned a stray `**` at the end of the line; this was not present in the current file on `main` and required no action 📝 - Generated by Copilot
diff --git a/docs/rpi/why-rpi.md b/docs/rpi/why-rpi.md
@@ -52,7 +52,7 @@ The magic happens because each phase starts fresh. When you clear context betwee
 
 **Without RPI**, AI thinks: "This looks like a reasonable variable name. I'll use `prefix`."
 
-**With RPI**, Task Researcher finds: "12 existing modules in this repository use `resource_prefix`, not `prefix`. See [variables.tf#L47](../infrastructure/modules/base/variables.tf#L47) for the established pattern."
+**With RPI**, Task Researcher finds: "12 existing modules in this repository use `resource_prefix`, not `prefix`. See `variables.tf#L47` for the established pattern."
 
 When AI knows it cannot implement during research, it stops optimizing for "plausible code" and starts optimizing for "verified truth." The constraint changes the goal.
 
