AI Agent Developer Guide for Redis Documentation
January 13, 2026 ยท View on GitHub
This guide helps AI agents (like myself) work more effectively on the Redis documentation codebase.
Quick Navigation for AI Agents
๐ฏ Start Here
Use this decision tree to find the right guidance for your task:
question: "What type of task are you working on?"
steps:
- option: "Fixing typos, updating text, or making small content changes"
next: "small_change"
- option: "Adding or modifying code examples (description, difficulty, etc.)"
next: "code_examples"
- option: "Creating a new render hook (checklist, hierarchy, decision tree)"
next: "render_hook"
- option: "Working with page metadata (TOC, command info, etc.)"
next: "metadata"
- option: "Understanding or modifying the build system"
next: "build_system"
- option: "Something else"
next: "general"
outcomes:
small_change:
description: "Small content updates"
guidance: "You can proceed directly with your task. No special preparation needed. Make your changes and test them."
code_examples:
description: "Adding/modifying code examples"
guidance: "Read [`for-ais-only/tcedocs/README.md`](for-ais-only/tcedocs/README.md) first, especially the sections on [Writing effective descriptions](for-ais-only/tcedocs/README.md#writing-effective-descriptions) and [Choosing difficulty levels](for-ais-only/tcedocs/README.md#choosing-difficulty-levels). Then review examples in [`content/develop/data-types/strings.md`](../content/develop/data-types/strings.md) to see the pattern in action. Once you understand the pattern, proceed with adding or modifying your code examples."
render_hook:
description: "Creating a new render hook"
guidance: "Read [`for-ais-only/render_hook_docs/README.md`](for-ais-only/render_hook_docs/README.md) for an overview, then study [`for-ais-only/render_hook_docs/AI_RENDER_HOOK_LESSONS.md`](for-ais-only/render_hook_docs/AI_RENDER_HOOK_LESSONS.md) (Lessons 1-12). Review existing render hooks in [`layouts/_default/_markup/`](../layouts/_default/_markup/) as examples. Once you understand the patterns, implement your render hook."
metadata:
description: "Working with page metadata"
guidance: "Read [`for-ais-only/metadata_docs/PAGE_METADATA_FORMAT.md`](for-ais-only/metadata_docs/PAGE_METADATA_FORMAT.md) for the complete structure, then [`for-ais-only/metadata_docs/IMPLEMENTATION_NOTES.md`](for-ais-only/metadata_docs/IMPLEMENTATION_NOTES.md) for implementation patterns and lessons learned. Then apply this knowledge to your metadata task."
build_system:
description: "Understanding the build system"
guidance: "Read [`for-ais-only/BUILD_SYSTEM_ARCHITECTURE.md`](for-ais-only/BUILD_SYSTEM_ARCHITECTURE.md) for an overview, then check the [`Makefile`](../Makefile) and [`build/make.py`](../build/make.py) for specific implementation details. Once you understand the system, proceed with your build-related task."
general:
description: "Other tasks"
guidance: "Start by reading [`for-ais-only/REPOSITORY_MAP_FOR_AI_AGENTS.md`](for-ais-only/REPOSITORY_MAP_FOR_AI_AGENTS.md) to understand the codebase structure and find documentation relevant to your task. Then proceed with your work."
๐ AI-Specific Documentation (Critical for AI Agents)
These files contain patterns, conventions, and implementation details that AI agents should reference:
Render Hooks & Interactive Components
- for-ais-only/render_hook_docs/README.md - Overview of all render hooks (checklists, hierarchies, decision trees)
- for-ais-only/render_hook_docs/AI_RENDER_HOOK_LESSONS.md - 12+ lessons on progressive enhancement, security, and patterns
- for-ais-only/render_hook_docs/DECISION_TREE_FORMAT.md - YAML format for decision trees
- for-ais-only/render_hook_docs/HIERARCHY_FORMAT.md - YAML format for hierarchies
- for-ais-only/render_hook_docs/DECISION_TREE_IMPLEMENTATION_NOTES.md - Implementation details and gotchas
Page Metadata System
- for-ais-only/metadata_docs/PAGE_METADATA_FORMAT.md - Complete metadata structure (TOC, code examples, command info)
- for-ais-only/metadata_docs/IMPLEMENTATION_NOTES.md - 10 key lessons on metadata design and implementation
Code Examples System
- for-ais-only/tcedocs/README.md - User guide for adding multi-language code examples
- for-ais-only/tcedocs/SPECIFICATION.md - Technical specification (1600+ lines of detailed architecture)
Jupyter Notebook Conversion
- build/jupyterize/README.md - Tool for converting code examples to Jupyter notebooks
๐๏ธ Project Architecture
"build":
_meta:
link: "./build/"
description: "Build scripts and utilities"
"components":
_meta:
link: "./build/components/"
description: "Code example processing"
"jupyterize":
_meta:
link: "./build/jupyterize/"
description: "Notebook conversion tool"
"make.py":
_meta:
link: "./build/make.py"
description: "Main build orchestrator"
"...":
_meta:
ellipsis: true
description: "Other build utilities"
"for-ais-only":
_meta:
link: "./for-ais-only/"
description: "AI-friendly documentation"
"render_hook_docs":
_meta:
link: "./for-ais-only/render_hook_docs/"
description: "Render hook patterns & lessons"
"metadata_docs":
_meta:
link: "./for-ais-only/metadata_docs/"
description: "Page metadata documentation"
"tcedocs":
_meta:
link: "./for-ais-only/tcedocs/"
description: "Code example system docs"
"content":
_meta:
link: "./content/"
description: "Documentation pages"
"ai-agent-resources.md":
_meta:
link: "./content/ai-agent-resources.md"
description: "AI-friendly resources index"
"develop":
_meta:
link: "./content/develop/"
description: "Development guides"
"integrate":
_meta:
link: "./content/integrate/"
description: "Integration guides"
"operate":
_meta:
link: "./content/operate/"
description: "Operations guides"
"layouts":
_meta:
link: "./layouts/"
description: "Hugo templates"
"partials":
_meta:
link: "./layouts/partials/"
description: "Reusable template components"
"shortcodes":
_meta:
link: "./layouts/shortcodes/"
description: "Markdown shortcodes"
"_default":
_meta:
link: "./layouts/_default/"
description: "Default page templates"
"data":
_meta:
link: "./data/"
description: "Data files"
"components":
_meta:
link: "./data/components/"
description: "Language/client configurations"
"examples.json":
_meta:
link: "./data/examples.json"
description: "Generated code example metadata"
"static":
_meta:
link: "./static/"
description: "Static assets"
"js":
_meta:
link: "./static/js/"
description: "JavaScript for interactive components"
"schemas":
_meta:
link: "./static/schemas/"
description: "JSON schemas for metadata validation"
๐ Key Concepts for AI Agents
- Progressive Enhancement: Content works without JavaScript; JS enhances it
- Page Store Pattern: Use Hugo's page store to avoid duplicate resources
- Metadata Layers: Page-level (head/body), per-codetabs, per-panel
- Stable Identifiers: Separate display names from stable IDs (langId vs. id)
- Configuration Centralization: Use
config.tomlfor mappings, not hardcoded values
๐ Common Tasks
Adding a new render hook: See build/render_hook_docs/AI_RENDER_HOOK_LESSONS.md (Lessons 1-12)
Implementing metadata: See for-ais-only/metadata_docs/IMPLEMENTATION_NOTES.md (Implementation Checklist)
Adding code examples: See for-ais-only/tcedocs/README.md (How to add multi-language examples)
Understanding page structure: See for-ais-only/metadata_docs/PAGE_METADATA_FORMAT.md
๐ Discovery Strategy for AI Agents
When working on this project:
- Check
for-ais-only/directory first - Contains all meta-documentation for AI agents - Read the README in the relevant subsystem - Each has comprehensive docs
- Look for IMPLEMENTATION_NOTES or LESSONS files - Capture hard-won knowledge
- Check
config.toml- Source of truth for language/client mappings - Review existing render hooks - In
layouts/_default/_markup/
โ ๏ธ Critical Patterns to Remember
- Always preserve source content in
<pre>for non-JS users and AI agents - Use data attributes for element-level metadata, not separate blocks
- Include location markers when duplicating metadata (head vs. body)
- Centralize configuration - Don't hardcode language/client mappings
- Test multiple page types - Metadata features must work across different content
- Use Hugo's built-in functions before building custom solutions
Last Updated: 2026-01-08 Purpose: Help AI agents discover and understand Redis documentation architecture