Meta-Analysis: Good/Bad Practice Catalog

Purpose: Comprehensive catalog of good and bad practices identified across 10 projects (9 client implementations + ai-dev-kit source)
Analysis Date: 2025-12-17
Status: COMPLETE
Version: 1.0.0
Part of: E6:S06:T06 – Cross-project meta-analysis and canonical framework design

Data Sources:

10 project analysis reports (9 client implementations + ai-dev-kit source)
7 meta-analysis documents (pattern frequency, convergence/divergence, canonical vs legacy, 4 structure-specific)
4 granular structure analyses (task-level Kanban, docs/documentation, workflows, cursorrules)

Executive Summary

This catalog synthesizes good practices (what works well) and bad practices (what causes issues) identified across all analyzed projects, including the ai-dev-kit source repository. Practices are organized by framework dimension (Kanban, docs/documentation, workflows, cursorrules) and include frequency data, impact assessment, and examples.

Key Findings:

Perfect Convergence Practices: 1 (KB directory naming - 100%)
Strong Convergence Practices: 3 (task naming 60%, E/S/T hierarchy 100%, story checklists 90%)
Critical Bad Practices: 3 (Epic mashup 30%, Epic 9 mismatch in source, missing cursorrules in source)
Source Repository Gaps: 3 (missing cursorrules, missing rw-config, legacy version path)

1. Kanban Framework: Good/Bad Practices

1.1 Good Practices ✅

1.1.1 Full-Context Task Naming (`E\{epic\}:S\{story\}:T\{task\}`)

Frequency: 60% (6/10 projects)
Impact: HIGH - Excellent traceability and context
Examples:

been-there: Uses E1:S01:T01 format consistently
dev-toolkit: Uses E6:S06:T01 format
agentic-ide-rules: Uses E1:S01:T01 format

Why It's Good:

Provides full context without needing to navigate to parent documents
Enables easy cross-referencing and traceability
Makes task identification unambiguous
Supports automated tooling and validation

Reference Implementation: ai-dev-kit source uses full-context task naming consistently

1.1.2 Proper E/S/T Hierarchy

Frequency: 100% (10/10 projects)
Impact: HIGH - Clear organization and structure
Examples:

All projects use Epic → Story → Task hierarchy
Consistent nesting: epics/Epic-\{N\}/Story-{NNN}/Task-{YYY}.md
Clear parent-child relationships

Why It's Good:

Provides clear organizational structure
Enables hierarchical navigation
Supports automated tooling
Makes project structure intuitive

Reference Implementation: ai-dev-kit source demonstrates perfect E/S/T hierarchy

1.1.3 Story Checklist Pattern

Frequency: 90% (9/10 projects)
Impact: HIGH - Excellent progress tracking
Examples:

been-there: Story checklists in Epic documents with version markers
dev-toolkit: Story checklists with status tracking
agentic-ide-rules: Story checklists with completion markers

Why It's Good:

Provides quick overview of story progress
Enables version tracking (version markers)
Supports status tracking (TODO, IN PROGRESS, COMPLETE)
Makes epic-level progress visible

Reference Implementation: ai-dev-kit source uses story checklists consistently

1.1.4 Comprehensive Template System

Frequency: 1 project (ai-dev-kit source)
Impact: HIGH - Enables consistent structure
Example:

ai-dev-kit source: 21 epic templates, 62+ story templates, 193+ task templates
Templates properly contextualized with placeholders
Clear distinction between core (1-8) and ancillary (9-21) epics

Why It's Good:

Provides standardized starting points
Ensures consistency across projects
Reduces setup time
Enables best practices from the start

Reference Implementation: ai-dev-kit source has comprehensive template system

1.1.5 Task Organization (Hybrid Approach)

Frequency: 67% embedded, 33% separate files
Impact: MODERATE - Flexible for different task sizes
Examples:

Small tasks: Embedded in Story document (most common)
Large tasks: Separate files in Story-XXX/T\{task\}-*.md
Always: Task checklist in Story document

Why It's Good:

Flexibility for different task sizes
Maintains context for related tasks
Supports granular documentation when needed
Matches real-world usage patterns

1.2 Bad Practices ❌

1.2.1 Epic Mashup (CRITICAL)

Frequency: 30% (3/10 projects: been-there, dev-toolkit, agentic-ide-rules)
Impact: CRITICAL - Confusion about canonical vs project-specific epics
Root Cause: Epic 9 mismatch in ai-dev-kit source (project-specific "Book Related Work" vs canonical "User Management and Authentication")

Examples:

been-there: Has Epic 9 "Book Related Work" (inappropriate for mobile app project)
dev-toolkit: Has Epic 9 "Book Related Work" (inappropriate for dev tools project)
agentic-ide-rules: Has Epic 9 "Book Related Work" (inappropriate for IDE rules project)

Why It's Bad:

Confuses canonical epics with project-specific epics
Clutters Kanban boards with irrelevant epics
Makes it unclear what actual project work is
Undermines framework adoption quality
Root Cause: ai-dev-kit source Epic 9 "Book Related Work" conflicts with canonical Epic 9

Prevention Strategy:

CRITICAL: Fix Epic 9 mismatch in ai-dev-kit source (rename to Epic 24+)
Add installer validation to prevent Epic mashup
Clearly distinguish canonical templates from ai-dev-kit's actual Kanban
Improve installation instructions

1.2.2 Epic 9 Mismatch in Source (CRITICAL)

Frequency: 1 project (ai-dev-kit source)
Impact: CRITICAL - Root cause of Epic mashup issue
Example:

ai-dev-kit source: Epic 9 "Book Related Work" (project-specific epic for "Vibe Coding For Dummies" book)
Canonical template: Epic 9 "User Management and Authentication" (canonical ancillary epic)

Why It's Bad:

ROOT CAUSE of Epic mashup issue affecting 30% of client projects
When projects copy ai-dev-kit's actual Kanban structure, they get wrong Epic 9
Creates internal inconsistency between ai-dev-kit's actual Kanban and canonical templates
Propagates incorrect Epic 9 to client projects

Required Action:

Rename ai-dev-kit's Epic 9 "Book Related Work" to Epic 24+ (project-specific range)
OR: Clearly document that Epic 9 in ai-dev-kit is project-specific, not canonical
Update all Epic 9 references in ai-dev-kit source

1.2.3 Inconsistent Epic Naming

Frequency: 44% Epic-\{N\}, 22% Epic \{N\}, 33% E\{N\}
Impact: MODERATE - Reduces consistency
Examples:

Mixed usage across projects
Some projects use hyphen (Epic-1)
Some projects use space (Epic 1)
Some projects use abbreviated (E1)

Why It's Bad:

Reduces consistency across projects
Makes automated tooling harder
Creates confusion about canonical format
Hinders cross-project collaboration

Prevention Strategy:

Promote canonical Epic-\{N\} format
Support legacy formats during migration
Document canonical format clearly

1.2.4 Inconsistent Task Padding

Frequency: 50% 2-digit (T01), 50% 3-digit (T001)
Impact: MODERATE - Reduces consistency
Examples:

Some projects use 2-digit padding (T01, T02)
Some projects use 3-digit padding (T001, T002)

Why It's Bad:

Reduces consistency across projects
Makes automated tooling harder
Creates confusion about canonical format

Prevention Strategy:

Promote canonical 2-digit padding (T01)
Support legacy 3-digit padding during migration
Document canonical format clearly

2. docs/documentation Framework: Good/Bad Practices

2.1 Good Practices ✅

2.1.1 Perfect KB Directory Naming (`docs/`)

Frequency: 100% (10/10 projects)
Impact: HIGH - Perfect convergence
Examples:

All projects use docs/ (uppercase, abbreviation)
Consistent across all analyzed projects

Why It's Good:

Perfect convergence (100% adoption)
Universal pattern
Clear and concise
Easy to identify knowledge base

Reference Implementation: ai-dev-kit source uses docs/ directory naming

2.1.2 Perfect 5-Pillar KB Structure

Frequency: 40% (4/10 projects)
Impact: HIGH - Excellent organization
Examples:

ai-dev-kit source: Perfect 5-pillar structure (Architecture, Changelog, PM, Guides, Documentation)
been-there: 5-pillar structure
dev-toolkit: 5-pillar structure

Why It's Good:

Clear separation of concerns
Standardized organization
Easy navigation
Supports automated tooling

Reference Implementation: ai-dev-kit source demonstrates perfect 5-pillar canonical structure

2.1.3 Document Frontmatter Usage

Frequency: 90% (9/10 projects)
Impact: HIGH - Essential for metadata-driven management
Examples:

Most projects use YAML frontmatter
Consistent metadata structure
Lifecycle metadata present

Why It's Good:

Enables metadata-driven document management
Supports automated lifecycle management
Provides document classification
Enables tooling and automation

Reference Implementation: ai-dev-kit source uses frontmatter consistently

Frequency: 78% (7/9 projects with KB)
Impact: MODERATE - Good navigation
Examples:

Root docs/README.md for top-level navigation
Section README.md files for each pillar
Directory-level README.md files

Why It's Good:

Provides clear navigation structure
Enables hierarchical browsing
Standard markdown format
Easy to maintain

Reference Implementation: ai-dev-kit source uses hierarchical READMEs

2.1.5 Lifecycle Metadata Usage

Frequency: 60% (6/10 projects)
Impact: MODERATE - Enables automated management
Examples:

Projects use lifecycle, ttl_days, created_at, expires_at, housekeeping_policy
Supports automated document expiration
Enables document persistence classification

Why It's Good:

Enables automated document lifecycle management
Supports document expiration
Provides document persistence classification
Reduces manual maintenance

Reference Implementation: ai-dev-kit source uses lifecycle metadata

2.2 Bad Practices ❌

2.2.1 Missing Lifecycle Metadata

Frequency: 40% (4/10 projects)
Impact: MODERATE - No automated document management
Examples:

Some projects don't use lifecycle metadata
Documents don't have expiration dates
Manual document cleanup required

Why It's Bad:

No automated document lifecycle management
Manual cleanup required
Documents may become stale
Reduces documentation quality over time

Prevention Strategy:

Promote lifecycle metadata usage
Make lifecycle metadata required
Provide templates with lifecycle metadata
Document benefits of automated management

2.2.2 Inconsistent KB Organization

Frequency: 40% 5-pillar, 10% multi-pillar, 40% hybrid, 10% other
Impact: MODERATE - Reduces consistency
Examples:

Some projects use 5-pillar structure
Some projects use multi-pillar (15+ pillars)
Some projects use hybrid (docs/ + docs/)
Some projects use legacy structures

Why It's Bad:

Reduces consistency across projects
Makes automated tooling harder
Creates confusion about canonical format
Hinders cross-project collaboration

Prevention Strategy:

Promote canonical 5-pillar structure
Support multi-pillar for enterprise projects
Support hybrid during migration
Document when to use which pattern

2.2.3 Missing Obsidian Support

Frequency: 78% use README.md, 22% use _index.md
Impact: LOW - Limits Obsidian compatibility
Examples:

Most projects use README.md only
Some Obsidian projects need _index.md
Missing Obsidian links ([[Link]])

Why It's Bad:

Limits Obsidian compatibility
Reduces cross-referencing capabilities
Hinders Obsidian-based workflows

Prevention Strategy:

Support both README.md and _index.md
Support Obsidian links ([[Link]]) for Obsidian projects
Document Obsidian compatibility

3. Workflow Framework: Good/Bad Practices

3.1 Good Practices ✅

3.1.1 Config-Driven Approach (`rw-config.yaml`)

Frequency: 30% (3/10 projects)
Impact: HIGH - Best practice
Examples:

agentic-ide-rules: Uses rw-config.yaml for workflow configuration
dev-toolkit: Uses config-driven approach
Config file defines version file, changelog paths, scripts path

Why It's Good:

Provides flexibility and maintainability
Reduces hardcoded paths
Enables easy customization
Supports project-specific configuration

Prevention Strategy:

Promote config-driven approach
Make config part of installation
Document config benefits
Provide migration guide from hardcoded paths

3.1.2 Comprehensive 12-Step Release Workflow

Frequency: 20% (2/10 projects)
Impact: HIGH - Best practice
Examples:

agentic-ide-rules: Comprehensive 12-step RW trigger
ai-dev-kit source: Comprehensive 12-step workflow YAML definitions

Why It's Good:

Provides complete release workflow
Includes mandatory branch safety check
Supports all standard RW steps
Enables standardized release process

Reference Implementation: ai-dev-kit source has comprehensive 12-step workflow YAML definitions

3.1.3 Mandatory Branch Safety Check

Frequency: 40% (4/10 projects)
Impact: CRITICAL - Prevents branch contamination
Examples:

Projects with branch safety check prevent accidental commits to wrong branches
Validates branch context before proceeding
Blocks workflow if branch mismatch detected

Why It's Good:

CRITICAL: Prevents cross-epic contamination
Validates branch context before proceeding
Blocks workflow if branch mismatch detected
Reduces risk of versioning errors

Prevention Strategy:

Enforce branch safety check in RW (mandatory, blocking)
Document benefits and risks
Provide examples of contamination prevention
Make branch safety check part of installation

3.1.4 Agent-Driven Execution Pattern

Frequency: 56% (5/9 projects with workflows)
Impact: HIGH - User visibility and control
Examples:

Projects use agent-driven execution (ANALYZE → DETERMINE → EXECUTE → VALIDATE → PROCEED)
Cursor TODO tracking for progress visibility
User approval at each step

Why It's Good:

Provides user visibility and control
Enables intelligent execution
Supports progress tracking
Reduces risk of errors

Prevention Strategy:

Promote agent-driven execution
Document benefits
Provide examples
Make agent-driven execution part of installation

3.1.5 Cursor TODO Progress Tracking

Frequency: 50% (5/10 projects)
Impact: HIGH - User visibility
Examples:

Projects use Cursor TODOs for workflow progress tracking
Provides visibility into workflow execution
Enables user monitoring

Why It's Good:

Provides user visibility into workflow execution
Enables progress monitoring
Supports user control
Reduces uncertainty

Prevention Strategy:

Promote Cursor TODO tracking
Document benefits
Provide examples
Make progress tracking part of installation

3.2 Bad Practices ❌

3.2.1 Missing RW Trigger (CRITICAL)

Frequency: 40% (4/10 projects)
Impact: HIGH - No standardized release workflow
Examples:

Projects without RW trigger have no standardized release process
Manual release process
Inconsistent release practices

Why It's Bad:

No standardized release workflow
Manual release process prone to errors
Inconsistent release practices
Reduces framework adoption quality

Prevention Strategy:

Make RW trigger part of installation
Document RW trigger benefits
Provide examples and templates
Show standardized release process

3.2.2 Missing Config File (HIGH)

Frequency: 70% (7/10 projects)
Impact: HIGH - Hardcoded paths reduce flexibility
Examples:

Projects without rw-config.yaml use hardcoded paths in .cursorrules
Hardcoded version file paths
Hardcoded changelog paths

Why It's Bad:

Hardcoded paths reduce flexibility
Difficult to maintain and update
Inconsistent configuration patterns
Reduces framework adoption quality

Prevention Strategy:

Promote config-driven approach
Make config part of installation
Document config benefits
Provide migration guide from hardcoded paths

3.2.3 Missing Branch Safety Check (CRITICAL)

Frequency: 60% (6/10 projects)
Impact: CRITICAL - Risk of branch contamination
Examples:

Projects without branch safety check risk accidental commits to wrong branches
No validation of branch context
Risk of versioning errors

Why It's Bad:

CRITICAL: Risk of cross-epic contamination
No validation of branch context
Risk of versioning errors
Reduces framework adoption quality

Prevention Strategy:

Enforce branch safety check in RW (mandatory, blocking)
Document benefits and risks
Provide examples of contamination prevention
Make branch safety check part of installation

3.2.4 Missing Progress Tracking

Frequency: 50% (5/10 projects)
Impact: MODERATE - No user visibility
Examples:

Projects without Cursor TODO tracking have no workflow progress visibility
No user monitoring
Uncertainty about workflow execution

Why It's Bad:

No user visibility into workflow execution
No progress monitoring
Uncertainty about workflow execution
Reduces user confidence

Prevention Strategy:

Promote Cursor TODO tracking
Document benefits
Provide examples
Make progress tracking part of installation

3.2.5 Missing Workflow YAML Files (in Source)

Frequency: 1 project (ai-dev-kit source has YAML but no .cursorrules)
Impact: HIGH - Source doesn't demonstrate own framework
Example:

ai-dev-kit source: Has comprehensive workflow YAML definitions but no .cursorrules file
Cannot demonstrate RW trigger to client projects

Why It's Bad:

Source repository doesn't demonstrate own framework
Cannot show RW trigger to client projects
Undermines framework credibility
Reduces framework adoption quality

Required Action:

Add .cursorrules file to ai-dev-kit source
Include comprehensive RW trigger section
Demonstrate own framework

4. Cursorrules Framework: Good/Bad Practices

4.1 Good Practices ✅

4.1.1 Standard `.cursorrules` File Naming

Frequency: 90% (9/10 projects)
Impact: HIGH - Perfect convergence
Examples:

All projects with cursorrules use .cursorrules (dot-prefixed, lowercase)
Standard Cursor IDE convention
Universal pattern

Why It's Good:

Perfect convergence (90% adoption)
Standard Cursor IDE convention
Universal pattern
Easy to identify

Note: ai-dev-kit source missing .cursorrules file (gap)

4.1.2 Comprehensive RW Trigger Section

Frequency: 20% (2/10 projects)
Impact: HIGH - Best practice
Examples:

agentic-ide-rules: Comprehensive 12-step RW trigger
All 12 steps defined with detailed descriptions
Mandatory branch safety check (Step 1)

Why It's Good:

Provides complete release workflow
Includes mandatory branch safety check
Supports all standard RW steps
Enables standardized release process

Prevention Strategy:

Promote comprehensive RW trigger
Document benefits
Provide examples and templates
Make comprehensive trigger part of installation

4.1.3 Config-Driven Approach in Cursorrules

Frequency: 30% (3/10 projects)
Impact: HIGH - Best practice
Examples:

Projects use rw-config.yaml for workflow configuration
Load config in .cursorrules RW trigger
No hardcoded paths

Why It's Good:

Provides flexibility and maintainability
Reduces hardcoded paths
Enables easy customization
Supports project-specific configuration

Prevention Strategy:

Promote config-driven approach
Make config part of installation
Document config benefits
Provide migration guide from hardcoded paths

4.1.4 Document Lifecycle Management Section

Frequency: 30% (3/10 projects)
Impact: MODERATE - Automated document management
Examples:

Projects use document lifecycle management based on frontmatter metadata
Automated expiration and housekeeping
Policy salience parsing

Why It's Good:

Enables automated document lifecycle management
Supports document expiration
Provides document persistence classification
Reduces manual maintenance

Prevention Strategy:

Promote document lifecycle management
Document benefits
Provide examples
Make lifecycle management part of installation

4.1.5 Git Workflow Restrictions Section

Frequency: 30% (3/10 projects)
Impact: HIGH - Workflow enforcement
Examples:

Projects use strict git restrictions (commits only via RW, push only via RW)
Branch isolation enforced
Pre-commit validation

Why It's Good:

Enforces workflow compliance
Prevents manual git operations
Reduces risk of errors
Maintains workflow integrity

Prevention Strategy:

Promote git workflow restrictions
Document benefits
Provide examples
Make git restrictions part of installation

4.2 Bad Practices ❌

4.2.1 Missing `.cursorrules` File (CRITICAL - in Source)

Frequency: 1 project (ai-dev-kit source)
Impact: CRITICAL - Source doesn't demonstrate own framework
Example:

ai-dev-kit source: No .cursorrules file
Cannot demonstrate RW trigger to client projects
Source repository doesn't use own framework

Why It's Bad:

CRITICAL: Source repository doesn't demonstrate own framework
Cannot show RW trigger to client projects
Undermines framework credibility
Reduces framework adoption quality

Required Action:

Add .cursorrules file to ai-dev-kit source
Include comprehensive RW trigger section
Demonstrate own framework

4.2.2 Missing RW Trigger Section

Frequency: 40% (4/10 projects)
Impact: HIGH - No standardized release workflow
Examples:

Projects without RW trigger have no standardized release process
Manual release process
Inconsistent release practices

Why It's Bad:

No standardized release workflow
Manual release process prone to errors
Inconsistent release practices
Reduces framework adoption quality

Prevention Strategy:

Make RW trigger part of installation
Document RW trigger benefits
Provide examples and templates
Show standardized release process

4.2.3 Hardcoded Paths in Cursorrules

Frequency: 20% (2/10 projects)
Impact: MODERATE - Reduced flexibility
Examples:

Projects use hardcoded paths in .cursorrules instead of config
Hardcoded version file paths
Hardcoded changelog paths

Why It's Bad:

Hardcoded paths reduce flexibility
Difficult to maintain and update
Inconsistent configuration patterns
Reduces framework adoption quality

Prevention Strategy:

Promote config-driven approach
Make config part of installation
Document config benefits
Provide migration guide from hardcoded paths

4.2.4 Missing Document Lifecycle Management

Frequency: 70% (7/10 projects)
Impact: MODERATE - No automated document management
Examples:

Projects without document lifecycle management have no automated document cleanup
Manual document cleanup required
Documents may become stale

Why It's Bad:

No automated document lifecycle management
Manual cleanup required
Documents may become stale
Reduces documentation quality over time

Prevention Strategy:

Promote document lifecycle management
Document benefits
Provide examples
Make lifecycle management part of installation

4.2.5 Missing Git Workflow Restrictions

Frequency: 70% (7/10 projects)
Impact: MODERATE - No workflow enforcement
Examples:

Projects without git restrictions allow manual git operations
Risk of workflow violations
Inconsistent git practices

Why It's Bad:

No workflow enforcement
Risk of workflow violations
Inconsistent git practices
Reduces framework adoption quality

Prevention Strategy:

Promote git workflow restrictions
Document benefits
Provide examples
Make git restrictions part of installation

5. Cross-Cutting Good/Bad Practices

5.1 Good Practices ✅

5.1.1 Source Repository as Reference Implementation

Frequency: 1 project (ai-dev-kit source)
Impact: HIGH - Demonstrates best practices
Example:

ai-dev-kit source: Perfect 5-pillar KB structure, comprehensive workflow YAML definitions

Why It's Good:

Provides reference implementation
Demonstrates best practices
Shows canonical structures
Enables learning from source

Gap: ai-dev-kit source missing .cursorrules file (should be added)

5.1.2 Proper Versioning Integration

Frequency: 50% (5/10 projects)
Impact: HIGH - Enables traceability
Examples:

Projects integrate versioning with Kanban (Epic/Story/Task numbers in version string)
Version bumping integrated with Release Workflow
Version markers in Kanban documents

Why It's Good:

Enables forensic traceability
Integrates versioning with Kanban
Supports automated version bumping
Provides version context

5.2 Bad Practices ❌

5.2.1 Source Repository Not Using Own Frameworks (CRITICAL)

Frequency: 1 project (ai-dev-kit source)
Impact: CRITICAL - Undermines framework credibility
Examples:

ai-dev-kit source: Missing .cursorrules file
ai-dev-kit source: Missing rw-config.yaml in project root (only example exists)
ai-dev-kit source: Legacy version file path (src/fynd_deals/version.py)

Why It's Bad:

CRITICAL: Source repository doesn't use own frameworks
Cannot demonstrate frameworks to client projects
Undermines framework credibility
Reduces framework adoption quality

Required Action:

Add .cursorrules file to ai-dev-kit source
Add rw-config.yaml to project root
Migrate version file path to canonical location

5.2.2 Legacy Version File Path (in Source)

Frequency: 1 project (ai-dev-kit source)
Impact: MODERATE - Inconsistency
Example:

ai-dev-kit source: src/fynd_deals/version.py (legacy path from previous project)
Should be: src/ai_dev_kit/version.py (canonical path)

Why It's Bad:

Inconsistency in source repository
Legacy path from previous project
Doesn't match canonical structure
Creates confusion

Required Action:

Migrate version file path to src/ai_dev_kit/version.py
Update all references
Align with canonical structure

6. Summary: Practice Adoption Rates

6.1 Good Practices Adoption

Practice	Adoption Rate	Status
KB directory naming (`docs/`)	100%	✅ Perfect
E/S/T hierarchy	100%	✅ Perfect
Story checklist pattern	90%	✅ Strong
Document frontmatter	90%	✅ Strong
Full-context task naming	60%	⚠️ Moderate
Lifecycle metadata	60%	⚠️ Moderate
Config-driven approach	30%	❌ Low
Comprehensive RW trigger	20%	❌ Low
Document lifecycle management	30%	❌ Low
Git workflow restrictions	30%	❌ Low

6.2 Bad Practices Frequency

Practice	Frequency	Severity
Epic mashup	30%	🔴 CRITICAL
Missing RW trigger	40%	🔴 CRITICAL
Missing branch safety check	60%	🔴 CRITICAL
Missing config file	70%	🟠 HIGH
Missing document lifecycle	70%	🟠 HIGH
Missing git restrictions	70%	🟠 HIGH
Missing progress tracking	50%	🟡 MODERATE
Inconsistent epic naming	44%	🟡 MODERATE
Inconsistent task padding	50%	🟡 MODERATE

7. Recommendations

7.1 Immediate Actions (CRITICAL)

Fix Epic 9 Mismatch in ai-dev-kit Source
- Rename Epic 9 "Book Related Work" to Epic 24+
- Update all references
- Add installer validation
Add .cursorrules File to ai-dev-kit Source
- Include comprehensive RW trigger section
- Demonstrate own framework
- Add config-driven approach
Add rw-config.yaml to ai-dev-kit Source
- Create active config file in project root
- Configure for ai-dev-kit
- Demonstrate config-driven approach

7.2 Short-Term Actions (HIGH)

Promote Config-Driven Approach
- Make config part of installation
- Document config benefits
- Provide migration guide
Enforce Branch Safety Check
- Make mandatory and blocking
- Document benefits and risks
- Provide examples
Promote Comprehensive RW Trigger
- Make part of installation
- Document benefits
- Provide examples and templates

7.3 Long-Term Actions (MEDIUM)

Promote Lifecycle Metadata
- Make required
- Document benefits
- Provide templates
Support Legacy Patterns
- Document migration paths
- Provide conversion tools
- Support during transition

Last Updated: 2025-12-17
Version: 1.0.0
Status: COMPLETE

Executive Summary​

1. Kanban Framework: Good/Bad Practices​

1.1 Good Practices ✅​

1.1.1 Full-Context Task Naming (E\{epic\}:S\{story\}:T\{task\})​

1.1.2 Proper E/S/T Hierarchy​

1.1.3 Story Checklist Pattern​

1.1.4 Comprehensive Template System​

1.1.5 Task Organization (Hybrid Approach)​

1.2 Bad Practices ❌​

1.2.1 Epic Mashup (CRITICAL)​

1.2.2 Epic 9 Mismatch in Source (CRITICAL)​

1.2.3 Inconsistent Epic Naming​

1.2.4 Inconsistent Task Padding​

2. docs/documentation Framework: Good/Bad Practices​

2.1 Good Practices ✅​

2.1.1 Perfect KB Directory Naming (docs/)​

2.1.2 Perfect 5-Pillar KB Structure​

2.1.3 Document Frontmatter Usage​

2.1.4 Hierarchical README Navigation​

2.1.5 Lifecycle Metadata Usage​

2.2 Bad Practices ❌​

2.2.1 Missing Lifecycle Metadata​

2.2.2 Inconsistent KB Organization​

2.2.3 Missing Obsidian Support​

3. Workflow Framework: Good/Bad Practices​

3.1 Good Practices ✅​

3.1.1 Config-Driven Approach (rw-config.yaml)​

3.1.2 Comprehensive 12-Step Release Workflow​

3.1.3 Mandatory Branch Safety Check​

3.1.4 Agent-Driven Execution Pattern​

3.1.5 Cursor TODO Progress Tracking​

3.2 Bad Practices ❌​

3.2.1 Missing RW Trigger (CRITICAL)​

3.2.2 Missing Config File (HIGH)​

3.2.3 Missing Branch Safety Check (CRITICAL)​

3.2.4 Missing Progress Tracking​

3.2.5 Missing Workflow YAML Files (in Source)​

4. Cursorrules Framework: Good/Bad Practices​

4.1 Good Practices ✅​

4.1.1 Standard .cursorrules File Naming​

4.1.2 Comprehensive RW Trigger Section​

4.1.3 Config-Driven Approach in Cursorrules​

4.1.4 Document Lifecycle Management Section​

4.1.5 Git Workflow Restrictions Section​

4.2 Bad Practices ❌​

4.2.1 Missing .cursorrules File (CRITICAL - in Source)​

4.2.2 Missing RW Trigger Section​

4.2.3 Hardcoded Paths in Cursorrules​

4.2.4 Missing Document Lifecycle Management​

4.2.5 Missing Git Workflow Restrictions​

5. Cross-Cutting Good/Bad Practices​

5.1 Good Practices ✅​

5.1.1 Source Repository as Reference Implementation​

5.1.2 Proper Versioning Integration​

5.2 Bad Practices ❌​

5.2.1 Source Repository Not Using Own Frameworks (CRITICAL)​

5.2.2 Legacy Version File Path (in Source)​

6. Summary: Practice Adoption Rates​

6.1 Good Practices Adoption​

6.2 Bad Practices Frequency​

7. Recommendations​

7.1 Immediate Actions (CRITICAL)​

7.2 Short-Term Actions (HIGH)​

7.3 Long-Term Actions (MEDIUM)​

Executive Summary

1. Kanban Framework: Good/Bad Practices

1.1 Good Practices ✅

1.1.1 Full-Context Task Naming (`E\{epic\}:S\{story\}:T\{task\}`)

1.1.2 Proper E/S/T Hierarchy

1.1.3 Story Checklist Pattern

1.1.4 Comprehensive Template System

1.1.5 Task Organization (Hybrid Approach)

1.2 Bad Practices ❌

1.2.1 Epic Mashup (CRITICAL)

1.2.2 Epic 9 Mismatch in Source (CRITICAL)

1.2.3 Inconsistent Epic Naming

1.2.4 Inconsistent Task Padding

2. docs/documentation Framework: Good/Bad Practices

2.1 Good Practices ✅

2.1.1 Perfect KB Directory Naming (`docs/`)

2.1.2 Perfect 5-Pillar KB Structure

2.1.3 Document Frontmatter Usage

2.1.4 Hierarchical README Navigation

2.1.5 Lifecycle Metadata Usage

2.2 Bad Practices ❌

2.2.1 Missing Lifecycle Metadata

2.2.2 Inconsistent KB Organization

2.2.3 Missing Obsidian Support

3. Workflow Framework: Good/Bad Practices

3.1 Good Practices ✅

3.1.1 Config-Driven Approach (`rw-config.yaml`)

3.1.2 Comprehensive 12-Step Release Workflow

3.1.3 Mandatory Branch Safety Check

3.1.4 Agent-Driven Execution Pattern

3.1.5 Cursor TODO Progress Tracking

3.2 Bad Practices ❌

3.2.1 Missing RW Trigger (CRITICAL)

3.2.2 Missing Config File (HIGH)

3.2.3 Missing Branch Safety Check (CRITICAL)

3.2.4 Missing Progress Tracking

3.2.5 Missing Workflow YAML Files (in Source)

4. Cursorrules Framework: Good/Bad Practices

4.1 Good Practices ✅

4.1.1 Standard `.cursorrules` File Naming

4.1.2 Comprehensive RW Trigger Section

4.1.3 Config-Driven Approach in Cursorrules

4.1.4 Document Lifecycle Management Section

4.1.5 Git Workflow Restrictions Section

4.2 Bad Practices ❌

4.2.1 Missing `.cursorrules` File (CRITICAL - in Source)

4.2.2 Missing RW Trigger Section

4.2.3 Hardcoded Paths in Cursorrules

4.2.4 Missing Document Lifecycle Management

4.2.5 Missing Git Workflow Restrictions

5. Cross-Cutting Good/Bad Practices

5.1 Good Practices ✅

5.1.1 Source Repository as Reference Implementation

5.1.2 Proper Versioning Integration

5.2 Bad Practices ❌

5.2.1 Source Repository Not Using Own Frameworks (CRITICAL)

5.2.2 Legacy Version File Path (in Source)

6. Summary: Practice Adoption Rates

6.1 Good Practices Adoption

6.2 Bad Practices Frequency

7. Recommendations

7.1 Immediate Actions (CRITICAL)

7.2 Short-Term Actions (HIGH)

7.3 Long-Term Actions (MEDIUM)