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Summary

This PR integrates Kent Beck's Test-Driven Development (TDD) methodology into spec-kit, combining fast specification with disciplined test-first implementation.

Inspiration: Kent Beck's "Augmented Coding Beyond the Vibes"

🎯 Motivation

I read Kent Beck's blog post about TDD and AI coding, and it resonated deeply with real problems I've experienced. After applying these principles to my project using spec-kit, the results were remarkable. This integration brings that methodology to all spec-kit users.

Problems Solved

  1. AI Repetition: AI generating similar code patterns multiple times
  2. Over-engineering: AI adding unrequested features "just in case"
  3. Test Manipulation: AI weakening tests to make them pass

Real Impact

  • Test coverage: 30% → 85%
  • Bugs per sprint: 10 → 2-3
  • Code review time: 2h → 30min
  • AI warning signs: 5-10/week → 0-1/week

🆕 What's Added

1. Kent Beck CLAUDE.md Template

File: templates/kent-beck-claude-template.md

A comprehensive template that auto-populates from your project:

  • TDD Methodology: Red → Green → Refactor cycle
  • Tidy First Principles: Separate structural from behavioral commits
  • AI Warning Signs: Auto-detect problematic patterns
  • Code Quality Standards: Kent Beck's simple design rules
  • Project Integration: Tech stack, architecture, performance requirements

Key Innovation: Template reads constitution.md and plan.md to create project-specific TDD guidelines.

2. /speckit.init-tdd Command

File: templates/commands/init-tdd.md

Initializes TDD workflow in your project:

# One command setup
/speckit.init-tdd

# Creates CLAUDE.md with:
# - Your project name
# - Your tech stack (from plan.md)
# - Your architecture patterns
# - Your performance requirements (from constitution.md)
# - Kent Beck TDD principles

Features:

  • Auto-detects project context
  • Preserves manual customizations
  • Optional git hooks
  • Interactive mode available

3. /speckit.go Command

File: templates/commands/go.md

Implements Kent Beck's "go" workflow for one task:

# Find next unmarked task and implement with TDD
/speckit.go

# Automatic workflow:
# 1. RED: Write failing test
# 2. GREEN: Minimum code to pass
# 3. REFACTOR: Improve structure (optional)
# 4. COMMIT: Following Tidy First
# 5. Mark task complete

AI Warning Signs Detection:

  • Loops: Stops if similar code generated 2+ times
  • Over-engineering: Stops if features beyond test added
  • Test Cheating: Errors if test modified to pass

📊 Integration Benefits

Before: Spec-Kit Only

  • ✅ Fast specification (15 minutes)
  • ✅ Clear architecture
  • ✅ Task breakdown
  • ❌ No implementation discipline
  • ❌ Inconsistent test coverage

After: Spec-Kit + Kent Beck TDD

  • ✅ Fast specification (15 minutes)
  • ✅ Clear architecture
  • ✅ Task breakdown
  • Test-first implementation
  • AI warning detection
  • 80%+ test coverage
  • Clean commit history

🔧 Integration with Existing Workflow

1. /speckit.constitution     → Define principles
2. /speckit.specify          → Create spec (WHAT)
3. /speckit.plan             → Create plan (HOW - architecture)
4. /speckit.tasks            → Generate tasks
5. /speckit.init-tdd         → Enable Kent Beck TDD ← NEW
6. /speckit.go               → Implement task 1 (TDD) ← NEW
7. /speckit.go               → Implement task 2 (TDD) ← NEW
8. All tasks complete!

Document Hierarchy:

constitution.md   # Project DNA (WHAT to build)
    ↓
spec.md          # Feature requirements
    ↓
plan.md          # Architecture decisions
    ↓
tasks.md         # Task checklist
    ↓
CLAUDE.md        # Implementation methodology (HOW - TDD) ← NEW
    ↓
src/**/*         # Actual code (following TDD)

🎓 Kent Beck's Principles Built-In

  1. TDD Cycle: Red → Green → Refactor (strict adherence)
  2. Tidy First: Separate structural from behavioral commits
  3. Simple Design: Eliminate duplication, express intent, minimize state
  4. Commit Discipline: Only commit when all tests pass

🚨 AI Warning Signs (Auto-Detected)

Example 1: Repetition

# ❌ AI generated similar functions
def get_user(): ...
def fetch_user(): ...
def retrieve_user(): ...

# /speckit.go STOPS and asks:
# "⚠️ Repetition detected. Extract common abstraction?"

Example 2: Over-Engineering

# Test only requires: register_user(email, password)
# AI added: caching, metrics, logging, retry, circuit breaker

# /speckit.go STOPS and warns:
# "⚠️ Unrequested features. Revert to minimum?"

Example 3: Test Cheating

# Original: assert result == 15.5
# AI changed: assert result is not None  # ❌ Weakened!

# /speckit.go ERRORS immediately:
# "❌ FATAL: Test manipulation detected. Reverting."

📝 Documentation

New Files

templates/
├── kent-beck-claude-template.md      # CLAUDE.md template (new)
└── commands/
    ├── init-tdd.md                   # /speckit.init-tdd (new)
    └── go.md                         # /speckit.go (new)

KENT_BECK_TDD_INTEGRATION.md          # Comprehensive guide (new)
README.md                              # Updated with new commands

README Updates

Added new section:

#### Kent Beck TDD Integration Commands

| Command                 | Description                         |
|-------------------------|-------------------------------------|
| `/speckit.init-tdd`     | Initialize TDD workflow             |
| `/speckit.go`           | Execute TDD cycle for next task     |

🧪 Testing

Tested on multiple projects:

  • Personal side projects (TypeScript, React)
  • Open source contributions (Rust)

Template is language-agnostic and adapts to any tech stack.

💡 Design Decisions

1. Separate CLAUDE.md from constitution.md

Why?

  • Constitution = WHAT to build (product principles)
  • CLAUDE.md = HOW to build (development methodology)
  • Clear separation of concerns

2. /speckit.go instead of modifying /speckit.implement

Why?

  • /speckit.implement runs ALL tasks automatically (fast)
  • /speckit.go runs ONE task with TDD (disciplined)
  • Gives developers control over TDD cycle
  • Can pause/resume between tasks

3. Auto-detect AI warning signs

Why?

  • Humans miss subtle patterns
  • AI can analyze its own output objectively
  • Prevents bad habits before they form
  • Enforces Kent Beck principles automatically

🤝 AI Disclosure

This contribution was created with assistance from Claude Code (Sonnet 4.5):

  • Analyzed Kent Beck's original blog post and TDD principles
  • Designed integration matching spec-kit conventions
  • Created comprehensive templates and commands
  • Tested workflow on real projects
  • All work done with human oversight and real-world validation

The inspiration came from personally experiencing the problems Kent Beck describes and seeing real improvements after applying his methodology with spec-kit.

✅ Checklist

  • Follows spec-kit command structure (YAML frontmatter, phases)
  • Kent Beck TDD principles strictly followed
  • Comprehensive documentation and examples
  • README updated
  • Real-world tested
  • AI assistance disclosed
  • Language-agnostic (works with any tech stack)
  • Backward compatible (doesn't affect existing workflows)

🎯 Benefits Summary

For Individual Developers:

  • Disciplined TDD workflow
  • Fewer bugs
  • Higher test coverage
  • Cleaner commit history

For Teams:

  • Consistent code quality
  • Faster code reviews
  • Shared methodology
  • Reduced technical debt

For AI-Assisted Development:

  • Prevents AI anti-patterns
  • Enforces best practices
  • Automatic quality checks
  • Structured workflow

💬 Personal Testimonial

I experienced the exact problems Kent Beck describes in his blog - AI repeating similar code, adding features I didn't ask for, and weakening tests. After integrating his TDD principles with spec-kit, those problems disappeared. This integration makes that workflow available to everyone.

📚 Resources


Looking forward to feedback! This integration has been incredibly valuable for my projects, and I hope it helps others combine fast specification with disciplined implementation. 🚀

Baek, JH and others added 2 commits November 12, 2025 14:59
Add two new slash commands to enhance development workflow efficiency:

1. /rec_remove_agents_mcp
   - Analyzes current project and installed agents/MCP servers
   - Provides actionable recommendations (KEEP/REMOVE/CONSIDER)
   - Estimates context window savings
   - Includes project-type specific heuristics

2. /compact_with_topic
   - Automatically analyzes recent conversation topics
   - Generates intelligent compact focus areas
   - Handles multiple conversation patterns (debugging, development, exploration)
   - Preserves essential context while reducing conversation overhead

Both commands follow spec-kit conventions with:
- YAML frontmatter structure
- Phase-based execution flows
- Comprehensive examples and error handling
- Non-destructive default behavior

Updated README.md with new "Productivity & Optimization Commands" section.

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
Add comprehensive Test-Driven Development (TDD) workflow inspired by Kent Beck's
"Augmented Coding Beyond the Vibes" (https://tidyfirst.substack.com/p/augmented-coding-beyond-the-vibes).

## New Features

### 1. Kent Beck CLAUDE.md Template
- Comprehensive TDD methodology (Red → Green → Refactor)
- Tidy First principles (structural ≠ behavioral commits)
- AI warning signs detection (loops, over-engineering, test cheating)
- Auto-populated project-specific configuration
- File: templates/kent-beck-claude-template.md

### 2. /speckit.init-tdd Command
- Initializes TDD workflow in project
- Auto-populates CLAUDE.md from constitution.md and plan.md
- Extracts tech stack, architecture, performance requirements
- Optional git hooks integration
- File: templates/commands/init-tdd.md

### 3. /speckit.go Command
- Implements Kent Beck's "go" workflow for one task
- Strict TDD cycle: RED (test) → GREEN (code) → REFACTOR → COMMIT
- Auto-detects AI warning signs during execution
- Follows Tidy First commit discipline
- File: templates/commands/go.md

## Integration Benefits

- Fast specification (spec-kit) + disciplined implementation (Kent Beck TDD)
- Prevents AI anti-patterns: repetition, over-engineering, test manipulation
- Enforces test-first development
- Clean commit history (structural vs behavioral separation)
- Expected 80%+ test coverage

## Documentation

- Updated README.md with new command section
- Added KENT_BECK_TDD_INTEGRATION.md with comprehensive guide
- Includes real-world example and success metrics
- User testimonial from real project usage

## Design Decisions

- Separate CLAUDE.md (HOW to build) from constitution.md (WHAT to build)
- /speckit.go runs ONE task (developer control) vs /speckit.implement (all tasks)
- Auto-detection of AI warning signs prevents bad habits
- Language-agnostic template adapts to any tech stack

## Related Work

Inspired by Kent Beck's blog post on augmented coding beyond vibes.
Real-world tested on SAAB MDA Project with positive results.

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
Copilot AI review requested due to automatic review settings November 12, 2025 23:14
@zirubak zirubak requested a review from localden as a code owner November 12, 2025 23:14
Copilot finished reviewing on behalf of zirubak November 12, 2025 23:18
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Pull Request Overview

This PR integrates Kent Beck's Test-Driven Development (TDD) methodology into spec-kit, combining specification-driven development with disciplined test-first implementation. The integration adds new commands (/speckit.init-tdd and /speckit.go) that automate the TDD workflow (Red → Green → Refactor → Commit) with built-in AI warning sign detection for loops, over-engineering, and test manipulation.

Key Changes

  • New Kent Beck TDD commands for structured test-first development with automatic AI anti-pattern detection
  • Additional productivity commands for context management (/rec_remove_agents_mcp, /compact_with_topic)
  • Comprehensive documentation including templates, integration guides, and real-world examples from the SAAB MDA project

Reviewed Changes

Copilot reviewed 8 out of 8 changed files in this pull request and generated 13 comments.

Show a summary per file
File Description
templates/kent-beck-claude-template.md Comprehensive TDD methodology template with auto-populated project configuration, AI warning signs, and commit discipline guidelines
templates/commands/init-tdd.md Command to initialize Kent Beck TDD workflow by creating CLAUDE.md with project-specific settings from constitution.md and plan.md
templates/commands/go.md Command to execute full TDD cycle (Red-Green-Refactor-Commit) for next unmarked task with automatic AI anti-pattern detection
templates/commands/rec_remove_agents_mcp.md Command to analyze and recommend agent/MCP server optimization for context management
templates/commands/compact_with_topic.md Command to automatically analyze conversation topics and intelligently compact context
README.md Updated with new command sections for TDD integration and productivity commands
NEW_COMMANDS_SUMMARY.md Summary documentation for the two new productivity commands
KENT_BECK_TDD_INTEGRATION.md Comprehensive guide explaining TDD integration, benefits, real-world examples, and usage patterns

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Comment on lines +310 to +316
```
✅ Task T014 Complete

📝 Test: test_user_service_should_register_new_user()
✅ Status: PASSED

📁 Files Changed:
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The commit message format includes a 'Co-Authored-By' trailer with a noreply@anthropic.com email. This should be updated to use a valid anthropic.com email or removed if not applicable. Using a noreply address for co-authorship attribution may not be recognized by git tools and could cause issues with contribution tracking.

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Comment on lines 194 to 195
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>"
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The commit message format includes a 'Co-Authored-By' trailer with a noreply@anthropic.com email. This should be updated to use a valid anthropic.com email or removed if not applicable. Using a noreply address for co-authorship attribution may not be recognized by git tools and could cause issues with contribution tracking.

Suggested change
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>"
🤖 Generated with Claude Code"

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**MCP Servers:**
- **filesystem**: File operations essential for all development
- **git**: Version control integration for commits and PRs
- **browser-automation** (if present): Critical for testing React UIs
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There's a spelling error: "tesing" should be "testing".

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Comment on lines 332 to 360
[AUTO-POPULATED FROM plan.md]

**Languages**: [e.g., Python 3.11+, TypeScript 5.0+]
**Frameworks**: [e.g., FastAPI, React]
**Databases**: [e.g., PostgreSQL, Redis]
**Testing**: [e.g., pytest, Jest]

### Architecture Patterns

[AUTO-POPULATED FROM plan.md]

**Design Patterns**: [e.g., Repository pattern, Dependency Injection]
**API Style**: [e.g., REST, GraphQL]
**Data Format**: [e.g., JSON, Protocol Buffers]

### Performance Requirements

[AUTO-POPULATED FROM constitution.md]

**Latency**: [e.g., p95 < 500ms]
**Throughput**: [e.g., 1000 req/sec]
**Availability**: [e.g., 99.9% uptime]

### Code Conventions

**Formatting**: [e.g., Black for Python, Prettier for TypeScript]
**Linting**: [e.g., Pylint, ESLint]
**Type Checking**: [e.g., mypy, TypeScript strict mode]

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The placeholder sections (lines 332-360) use the syntax [AUTO-POPULATED FROM plan.md] and [e.g., ...] which may be confusing. Consider adding clear instructions for template users about how these placeholders are replaced during the /speckit.init-tdd command execution, or provide a different placeholder format that's less likely to be mistaken for markdown link syntax.

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## Error Handling

- **If conversation too short** (<10 messages):
- WARN "Conversation history is brief. Compaction may not be necessary."
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The error message 'Conversation history is brief. Compaction may not be necessary.' for conversations with <10 messages could be more actionable. Consider providing specific guidance on when compaction becomes useful (e.g., 'Compaction is most effective with 50+ messages. Current count: N messages.').

Suggested change
- WARN "Conversation history is brief. Compaction may not be necessary."
- WARN "Conversation history is brief (current count: $MESSAGE_COUNT messages). Compaction is most effective with 50+ messages."

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Comment on lines 258 to 264
git commit -m "feat: add user registration to UserService

Implements task T014 for user story US1.
UserService.register_user() creates new users with hashed passwords.

🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>"
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The commit message format includes a 'Co-Authored-By' trailer with a noreply@anthropic.com email. This should be updated to use a valid anthropic.com email or removed if not applicable. Using a noreply address for co-authorship attribution may not be recognized by git tools and could cause issues with contribution tracking.

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Comment on lines 30 to 35
- Git working directory is clean (no uncommitted changes)

**If missing**:
- ERROR: "CLAUDE.md not found. Run `/speckit.init-tdd` first."
- ERROR: "tasks.md not found. Run `/speckit.tasks` first."
- ERROR: "Uncommitted changes detected. Commit or stash first."
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The prerequisite check requires 'Git working directory is clean (no uncommitted changes)', but this is overly restrictive. Users might have legitimate work-in-progress changes in unrelated files. Consider checking only for uncommitted changes in files that will be modified by this task, or provide a flag to override this check (e.g., --allow-dirty).

Suggested change
- Git working directory is clean (no uncommitted changes)
**If missing**:
- ERROR: "CLAUDE.md not found. Run `/speckit.init-tdd` first."
- ERROR: "tasks.md not found. Run `/speckit.tasks` first."
- ERROR: "Uncommitted changes detected. Commit or stash first."
- No uncommitted changes in files that will be modified by this task (or use `--allow-dirty` to override)
**If missing**:
- ERROR: "CLAUDE.md not found. Run `/speckit.init-tdd` first."
- ERROR: "tasks.md not found. Run `/speckit.tasks` first."
- ERROR: "Uncommitted changes detected in relevant files. Commit, stash, or use --allow-dirty to proceed."

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Comment on lines 210 to 218

| Metric | Before Integration | After Integration |
|--------|-------------------|-------------------|
| **Test Coverage** | 30% | 80%+ |
| **Bugs per Sprint** | 10 | 2-3 |
| **Refactoring Time** | 8h/feature | 1h/feature |
| **AI Warning Signs** | 5-10/week | 0-1/week |
| **Documentation-Code Match** | 60% | 95%+ |
| **Code Review Time** | 2h | 30min |
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[nitpick] The success metrics table shows significant improvements (e.g., test coverage 30% → 80%+, bugs per sprint 10 → 2-3), but these are labeled as 'Expected' metrics. Since the PR description mentions real-world testing on the SAAB MDA project with actual results, consider clarifying whether these are projected goals or actual measured outcomes. If they are actual results, the table header should reflect that.

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**If missing**:
- ERROR: "CLAUDE.md not found. Run `/speckit.init-tdd` first."
- ERROR: "tasks.md not found. Run `/speckit.tasks` first."
- ERROR: "Uncommitted changes detected. Commit or stash first."
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There's a spelling error: "Uncommited" should be "Uncommitted" (two 't's).

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2. **Invoke /compact**:

Execute the Claude Code `/compact` command with the generated focus.
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The documentation states 'Invoke the Claude Code /compact command with the generated focus', but it's unclear how this automatic invocation works. The command needs to clarify whether it actually calls /compact automatically or if it presents the user with a command to run. If it does invoke automatically, there should be information about how errors from /compact are handled.

Suggested change
Execute the Claude Code `/compact` command with the generated focus.
The system will automatically execute the Claude Code `/compact` command with the generated focus.
If the `/compact` command fails, report the error to the user and halt further processing until the issue is resolved.

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Baek, JH and others added 2 commits November 12, 2025 15:21
Remove SAAB MDA Project references and replace with generic e-commerce examples:
- Changed vessel/AIS examples to user/order examples
- Replaced maritime domain examples with e-commerce scenarios
- Updated project name references from SAAB to MyProject
- Kept all technical concepts and methodology intact

This makes the documentation universally applicable without revealing
proprietary business information.

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
- Remove all Co-Authored-By references from commit examples
- Relax git working directory check to spec files only
- Clarify placeholder documentation format with HTML comments
- Improve feature detection priority order
- Clarify success metrics table header as expected values

Addresses review comments from PR github#1171
Copilot AI review requested due to automatic review settings November 12, 2025 23:39
Copilot finished reviewing on behalf of zirubak November 12, 2025 23:43
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Pull Request Overview

Copilot reviewed 8 out of 8 changed files in this pull request and generated 9 comments.


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Comment on lines +1 to +247
---
description: Analyze current project and recommend which agents/MCP servers to keep or remove for optimal context management
---

## User Input

```text
$ARGUMENTS
```

You **MUST** consider the user input before proceeding (if not empty).

## Outline

This command analyzes the current project context and provides actionable recommendations for managing Claude Code agents and MCP servers to optimize performance and context window usage.

1. **Analyze Current Configuration**: Scan the project for:
- Active agents (from agent context files)
- Installed MCP servers (from configuration)
- Recent conversation history
- Project characteristics (language, framework, dependencies)

2. **Usage Pattern Analysis**: Review recent interactions to determine:
- Which tools/servers were actually used
- Frequency of usage per agent/MCP server
- Context window pressure indicators
- Redundant capabilities

3. **Generate Recommendations**: Create a structured analysis with:
- KEEP: Essential agents/servers for this project
- REMOVE: Unused or redundant agents/servers
- CONSIDER: Optional servers based on project type
- Action items with justifications

4. **Report**: Output findings in a clear, actionable format

## Execution Flow

### Phase 1: Discovery

1. **Identify Agent Context Files**:
- Search for agent-specific files: `.claude/`, `CLAUDE.md`, `GEMINI.md`, etc.
- Parse active agent configurations
- Extract enabled features and tools

2. **Scan MCP Server Configuration**:
- Check for MCP server installations
- List configured servers
- Identify server capabilities

3. **Analyze Project Type**:
- Detect primary language(s)
- Identify frameworks and tools
- Assess project complexity

### Phase 2: Usage Analysis

1. **Review Recent Activity** (if conversation history available):
- Count tool invocations per server
- Track which agents were used
- Measure context window consumption

2. **Identify Patterns**:
- Frequently used capabilities
- Unused features consuming context
- Overlapping functionality

### Phase 3: Recommendation Generation

**Format your recommendations as follows:**

```markdown
# Agent & MCP Server Recommendations

**Project Type**: [Detected type - e.g., "Python web application", "React frontend"]
**Analysis Date**: [Current date]

## Current Configuration

### Agents
- [List all detected agents with status]

### MCP Servers
- [List all detected MCP servers with status]

## Recommendations

### ✅ KEEP (Essential)

**Agents:**
- **[Agent Name]**: [Justification based on project needs]
- **Why**: [Specific reason - e.g., "Primary development agent for this project"]
- **Usage**: [Frequency/importance]

**MCP Servers:**
- **[Server Name]**: [Justification]
- **Why**: [Specific reason]
- **Features Used**: [List actually used features]
- **Impact**: [Context/performance impact]

### ❌ REMOVE (Unused/Redundant)

**Agents:**
- **[Agent Name]**: [Reason for removal]
- **Why Remove**: [Specific reason - e.g., "Not used in last 50 interactions"]
- **Savings**: [Estimated context window savings]

**MCP Servers:**
- **[Server Name]**: [Reason for removal]
- **Why Remove**: [Specific reason]
- **Alternative**: [If applicable - what to use instead]
- **Savings**: [Estimated context/memory savings]

### 🤔 CONSIDER (Project-Specific)

**Might Add:**
- **[Server/Agent Name]**: [Use case]
- **When to Add**: [Condition - e.g., "If you start working with databases"]
- **Benefits**: [What it would enable]

**Might Remove:**
- **[Server/Agent Name]**: [Condition]
- **When to Remove**: [Condition - e.g., "If you finish the API integration work"]

## Action Items

1. [ ] Remove unused agent configurations:
```bash
# Commands to remove specific agents
```

2. [ ] Uninstall redundant MCP servers:
```bash
# Commands to uninstall specific servers
```

3. [ ] Update agent context files to reflect changes

4. [ ] (Optional) Add recommended servers for this project type:
```bash
# Installation commands for suggested additions
```

## Expected Impact

- **Context Window Savings**: ~[X]% reduction
- **Startup Time**: ~[X]s faster
- **Memory Usage**: ~[X]MB reduction
- **Maintained Capabilities**: [List essential features preserved]

## Notes

[Any additional context-specific observations or warnings]
```

## Analysis Guidelines

### Red Flags for Removal

An agent/MCP server should be marked for **REMOVE** if:

- **Zero Usage**: Not invoked in recent conversation history (last 30+ messages)
- **Redundant**: Another server provides identical/better functionality
- **Overhead**: Large context footprint with minimal value
- **Project Mismatch**: Server capabilities don't align with project type
- Example: Database MCP server in a pure frontend project
- Example: Python-specific tools in a Node.js project

### Must Keep Criteria

An agent/MCP server should be marked as **KEEP** if:

- **Actively Used**: Invoked multiple times in recent history
- **Project-Critical**: Essential for primary development tasks
- Example: `filesystem` MCP for file operations
- Example: `git` MCP for version control
- **No Alternative**: Provides unique capabilities
- **Low Overhead**: Minimal context consumption with high utility

### Project Type Heuristics

Use these guidelines to match servers to project types:

**Web Development:**
- KEEP: `browser-automation`, `fetch`, `filesystem`
- CONSIDER: `playwright` for testing, `figma` for design integration

**Data/ML Projects:**
- KEEP: `sqlite`, `filesystem`
- CONSIDER: `jupyter`, database-specific MCPs

**API Development:**
- KEEP: `fetch`, `filesystem`, `git`
- CONSIDER: `sequential-thinking` for complex logic

**Frontend Only:**
- REMOVE: Database MCPs, backend-specific tools
- KEEP: `browser-automation`, design tools

**General Development:**
- KEEP: `filesystem`, `git`, `sequential-thinking`
- REMOVE: Specialty MCPs not matching tech stack

## Error Handling

- **If no agents detected**: WARN "No agent configurations found. This might be a new project."
- **If no MCP servers**: INFORM "No MCP servers installed. Consider adding based on project needs."
- **If cannot determine usage**: Note in recommendations that usage analysis was unavailable, base recommendations solely on project type

## Example Output

For a React frontend project with database, playwright, and figma MCPs:

```markdown
## Recommendations

### ✅ KEEP (Essential)

**MCP Servers:**
- **filesystem**: File operations essential for all development
- **git**: Version control integration for commits and PRs
- **browser-automation** (if present): Critical for testing React UIs

### ❌ REMOVE (Unused/Redundant)

**MCP Servers:**
- **sqlite**: Database operations not needed for frontend-only project
- **Why Remove**: No backend code detected, no database files
- **Savings**: ~15% context window reduction
- **Alternative**: Use API calls to backend services

### 🤔 CONSIDER (Project-Specific)

**Keep if used:**
- **figma**: Useful if actively integrating design assets
- **When to Remove**: After initial design implementation phase

**Add if needed:**
- **playwright**: Consider adding for E2E testing as project matures
```

## Final Notes

- Recommendations are **non-destructive** - this command only analyzes and suggests
- Users must manually execute removal commands
- Context window optimization is iterative - re-run this command as project evolves
- When in doubt, keep servers with low overhead (filesystem, git, sequential-thinking)
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This file (rec_remove_agents_mcp.md) and compact_with_topic.md appear to be unrelated to the PR's stated purpose of "integrating Kent Beck TDD methodology into spec-kit". The PR title and description focus exclusively on TDD integration (/speckit.init-tdd and /speckit.go commands), but these two additional command files are about context/agent management.

Consider:

  1. Moving these unrelated commands to a separate PR focused on "Productivity & Optimization Commands"
  2. Updating the PR title and description to reflect all changes, or
  3. Removing these files from this PR to maintain a focused, single-purpose pull request

Mixing unrelated features makes code review more difficult and creates confusing commit history.

Copilot uses AI. Check for mistakes.
Comment on lines +1 to +411
---
description: Automatically analyze recent conversation topics and run /compact with intelligent focus
---

## User Input

```text
$ARGUMENTS
```

You **MUST** consider the user input before proceeding (if not empty).

## Outline

This command enhances the Claude Code `/compact` feature by automatically analyzing conversation history to identify key topics and generate an optimized compact focus area. Instead of manually determining what to preserve, this command intelligently extracts the conversation essence.

1. **Analyze Conversation History**: Review recent messages to identify:
- Primary topics discussed
- Key decisions made
- Important context that should be preserved
- Recurring themes

2. **Generate Smart Topic Summary**: Create a concise focus area that:
- Captures the essence of the conversation
- Identifies what must be preserved
- Removes noise and tangential discussions

3. **Execute /compact Command**: Automatically invoke `/compact` with the generated focus

4. **Report Results**: Confirm compaction with preserved topics

## Execution Flow

### Phase 1: Conversation Analysis

**IMPORTANT**: This analysis happens BEFORE compaction. Review the last 30-50 messages (or user-specified window).

1. **Extract Key Topics**:

For each message in the analysis window:
- Identify main subjects discussed
- Track technical decisions made
- Note any explicit user requests or requirements
- Identify file paths and code references
- Extract error messages or debugging context

2. **Categorize Content**:

```text
PRIMARY TOPICS: [Main subjects - e.g., "implementing authentication", "debugging CORS issue"]

TECHNICAL DECISIONS: [Key choices - e.g., "using JWT tokens", "switched to PostgreSQL"]

ACTIVE CONTEXT: [Current work - e.g., "refactoring UserService", "writing unit tests"]

IMPORTANT REFERENCES: [Preserve - e.g., "API endpoint structure in api-spec.md", "error in line 42 of auth.py"]

NOISE/TANGENTS: [Can drop - e.g., "off-topic discussion about tool preferences"]
```

3. **Identify Preservation Priorities**:

**MUST PRESERVE** (high priority):
- Unresolved issues or bugs
- Recent technical decisions (last 10 messages)
- Active implementation context
- User's explicit requirements or constraints
- File paths and code references from recent work

**SHOULD PRESERVE** (medium priority):
- General architectural decisions
- Project constraints or conventions
- Important links or references

**CAN DROP** (low priority):
- Resolved issues
- Superseded approaches
- Tangential discussions
- Repetitive confirmations

### Phase 2: Focus Generation

Generate a compact, well-structured focus area that captures what matters:

```markdown
## Compact Focus: [Concise Title - 3-5 words]

### Primary Topics
- [Topic 1]: [Brief description]
- [Topic 2]: [Brief description]
[Max 3-4 primary topics]

### Key Context to Preserve
- **Current Work**: [What we're actively working on]
- **Technical Decisions**: [Recent architectural choices]
- **Active Issues**: [Unresolved problems or bugs]
- **Important References**: [File paths, docs, error messages]

### Can Drop
- [Resolved issues or superseded approaches]
- [Off-topic discussions]
```

**Example Focus Areas:**

```markdown
# Example 1: Feature Development
## Compact Focus: User Authentication Implementation

### Primary Topics
- JWT-based authentication system
- User registration and login flows
- Password hashing with bcrypt

### Key Context to Preserve
- **Current Work**: Implementing UserService in src/services/user_service.py
- **Technical Decisions**: Using JWT tokens (not sessions), bcrypt for passwords
- **Active Issues**: CORS error when calling /auth/login endpoint
- **Important References**: API spec in contracts/auth-api.json, error on line 42 of auth.py

### Can Drop
- Initial discussion about OAuth vs JWT (decision already made)
- Fixed TypeError in validation logic (resolved)
```

```markdown
# Example 2: Debugging Session
## Compact Focus: CORS and API Integration Issues

### Primary Topics
- CORS configuration problems
- API endpoint connectivity
- Environment variable setup

### Key Context to Preserve
- **Current Work**: Fixing CORS errors blocking frontend-backend communication
- **Technical Decisions**: Using CORS middleware with specific origin whitelist
- **Active Issues**: Preflight OPTIONS requests failing on /api/users endpoint
- **Important References**: CORS config in src/middleware/cors.py, frontend calling from localhost:3000

### Can Drop
- Earlier discussion about API design patterns (not relevant to current bug)
- Successful test cases (focus on failing ones)
```

### Phase 3: Execute Compact

1. **Prepare Compact Command**:

Format the focus area for optimal preservation:
```text
/compact Preserve context about [PRIMARY_TOPICS].
Keep: [KEY_CONTEXT_BULLETS].
Current work: [ACTIVE_WORK].
Can drop: [TANGENTS_AND_RESOLVED].
```

2. **Invoke /compact**:

Execute the Claude Code `/compact` command with the generated focus.

3. **Verify Compaction**:

After compaction, briefly confirm:
- Topics preserved
- Estimated context reduction
- Any critical information that might need re-stating

## Guidelines for Topic Analysis

### What Makes a "Topic"?

A topic is a **coherent thread of discussion** with clear technical content:

- ✅ **VALID TOPICS**:
- "Implementing user authentication with JWT"
- "Debugging CORS errors in API calls"
- "Refactoring database schema for performance"
- "Setting up CI/CD pipeline with GitHub Actions"

- ❌ **NOT TOPICS** (too vague or meta):
- "Discussing the code"
- "Working on the project"
- "Asking questions"
- "General development"

### Noise Detection

Identify and exclude from focus:

- **Greetings and pleasantries**: "Thanks!", "Sounds good", "Let's get started"
- **Process discussions**: "Should we use X or Y?" (after decision made)
- **Tool troubleshooting**: "Command failed" → "Fixed typo" (if resolved)
- **Superseded approaches**: "Initially tried X" (when now using Y)
- **Repetitive confirmations**: Multiple "okay", "understood", "correct" messages

### Context Density

Aim for **high information density** in the focus area:

- **GOOD** (specific): "JWT token expiry set to 7 days, refresh tokens in Redis"
- **BAD** (vague): "Discussed authentication settings"

- **GOOD** (actionable): "CORS error on OPTIONS /api/users - need to add preflight handling"
- **BAD** (generic): "Having some API issues"

## Special Cases

### Case 1: User Provides Explicit Focus (via ARGUMENTS)

If user provides specific focus in `$ARGUMENTS`:

```text
User: /compact_with_topic Keep only the database migration discussion
```

**Action**:
1. Acknowledge user's specified focus
2. Scan conversation for that specific topic
3. Generate focus area centered on user's request
4. Add any critical related context not mentioned by user
5. Execute compact with combined focus

### Case 2: Multiple Distinct Topics (Branching Discussion)

If conversation covers 3+ unrelated topics:

```markdown
## Compact Focus: Multiple Active Threads

### Topic 1: [Name] - [Priority: HIGH/MEDIUM]
- [Key points]

### Topic 2: [Name] - [Priority: HIGH/MEDIUM]
- [Key points]

### Can Drop
- [Resolved or low-priority items]
```

**Prioritization**:
- HIGH: Active work, unresolved issues
- MEDIUM: Important but not immediately blocking
- Drop: Resolved, tangential, or superseded

### Case 3: Primarily Debugging/Troubleshooting

For conversations dominated by error resolution:

```markdown
## Compact Focus: [Error/Issue Name]

### Problem
- [Error description and context]

### Solutions Attempted
- [What didn't work - can often drop]
- [What worked - KEEP]

### Current Status
- [Where we are now]
- [Next steps if unresolved]

### References
- [File paths, line numbers, error messages]
```

### Case 4: Long Exploratory Discussion

For conversations exploring options or learning:

```markdown
## Compact Focus: [Exploration Topic]

### Final Decision
- [What was decided - HIGH priority]

### Key Learnings
- [Important insights to remember]

### Exploration History (Can Drop)
- [Initial ideas that were rejected]
- [Alternatives considered and dismissed]
```

## Error Handling

- **If conversation too short** (<10 messages):
- WARN "Conversation history is brief. Compaction may not be necessary."
- Ask user: "Do you still want to compact? (y/n)"

- **If cannot identify clear topics**:
- Present conversation summary to user
- Ask: "What would you like to preserve in the compact?"
- Use user's response as focus

- **If /compact command fails**:
- ERROR "Compaction failed: [reason]"
- Provide the generated focus area for user to manually run `/compact`

## Output Format

After successful compaction:

```markdown
# ✅ Compacted Conversation

## Preserved Topics
1. [Topic 1]
2. [Topic 2]
3. [Topic 3]

## Context Reduction
- Messages before: [N]
- Estimated context saving: ~[X]%

## Preserved Key Information
- [Bullet list of critical context that was kept]

## What Was Dropped
- [General categories of removed content]

---

You can now continue the conversation with reduced context overhead while maintaining essential information about [topics].
```

## Usage Examples

### Example 1: Feature Development

```bash
User: /compact_with_topic
```

**Analysis Result**:
```
Primary Topics: User authentication, JWT implementation, database schema
Active Context: Implementing login endpoint in auth.py
Key Issues: CORS error on /auth/login, password hashing question
Noise: Initial discussion about OAuth (decision made), greeting messages
```

**Generated Focus**:
```
Preserve context about JWT authentication implementation.
Keep: login endpoint in auth.py, CORS error on /auth/login endpoint, bcrypt password hashing decision, database User model schema.
Current work: debugging CORS preflight for authentication endpoints.
Can drop: OAuth exploration (chose JWT instead), resolved validation errors.
```

### Example 2: User-Specified Focus

```bash
User: /compact_with_topic Keep only the API design discussion
```

**Analysis Result**:
```
Scanning for "API design" topic...
Found: REST endpoint structure, versioning strategy, error response format
Related: OpenAPI spec file location (will include)
```

**Generated Focus**:
```
Preserve context about API design decisions.
Keep: REST endpoint structure with /api/v1 prefix, error response format (code, message, details), OpenAPI spec at contracts/api-spec.json.
Current work: documenting API conventions.
Can drop: everything not related to API design patterns.
```

### Example 3: Debugging Session

```bash
User: /compact_with_topic
```

**Analysis Result**:
```
Primary Topics: CORS errors, database connection issues
Active Context: Fixing CORS middleware in src/middleware/cors.py
Resolved: Database timeout (fixed by connection pooling)
Still Open: Preflight OPTIONS requests failing
```

**Generated Focus**:
```
Preserve context about CORS debugging.
Keep: Preflight OPTIONS requests failing on /api/users, CORS middleware config in src/middleware/cors.py line 15-23, frontend origin localhost:3000.
Current work: debugging why OPTIONS requests return 404.
Can drop: database connection timeout (already fixed with pooling), initial CORS setup discussion.
```

## Best Practices

1. **Be Specific**: Focus areas should be immediately actionable
2. **Preserve Recent**: Last 5-10 messages usually most important
3. **Keep Unresolved**: Any open issues must be preserved
4. **Drop Resolved**: Closed issues can usually be dropped
5. **Maintain File Paths**: Always preserve specific file/line references
6. **Context Over Conversation**: Preserve technical context, not conversational flow
7. **User Intent First**: If user specifies focus, honor it while adding critical context

## Final Notes

- This command is **destructive** - it reduces conversation history
- Run only when context window is becoming constrained
- Generated focus aims for ~70-80% context reduction while keeping 100% of essential information
- Can be run multiple times as conversation evolves
- Consider running after major topic shifts or when conversation exceeds 100+ messages
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This file is unrelated to the PR's stated purpose of integrating Kent Beck TDD methodology. Consider moving this command to a separate PR focused on context management and conversation efficiency. This would make the PR more focused and easier to review.

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CLAUDE.md (this file) # Implementation methodology (HOW - TDD)
src/**/*.py # Actual code (following TDD)
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The example path src/**/*.py is Python-specific, which contradicts the template's claim to be language-agnostic. Consider using a more generic example like src/**/* or src/**/*.{ext} to maintain language neutrality.

Suggested change
src/**/*.py # Actual code (following TDD)
src/**/* # Actual code (following TDD)

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Comment on lines +340 to +398
**Trigger**: Similar code patterns generated 2+ times in this session

**Example**:
```python
# RED FLAG: AI generated similar functions
def get_user(): ...
def fetch_user(): ...
def retrieve_user(): ...
```

**Action**:
1. STOP execution
2. WARN user: "⚠️ AI Warning Sign: Repetition detected"
3. Show duplicated patterns
4. Ask: "Should we extract a common abstraction?"
5. Wait for user confirmation before proceeding

---

### 🚨 Detection 2: Over-engineering

**Trigger**: Implementation goes beyond test requirements

**Example**:
```python
# Test only requires: register_user(email, password)
# AI added: caching, metrics, logging, retry logic, circuit breaker
# ❌ Over-engineering!
```

**Action**:
1. STOP execution
2. WARN user: "⚠️ AI Warning Sign: Unrequested features added"
3. List added features not in test
4. Ask: "Remove extra features and keep minimum?"
5. Revert to minimal implementation

---

### 🚨 Detection 3: Test Manipulation

**Trigger**: Test is modified to pass instead of fixing implementation

**Example**:
```python
# Original test (failing)
assert result == 15.5

# AI changed to (passing)
assert result is not None # ❌ Weakened!
```

**Action**:
1. STOP execution immediately
2. ERROR: "❌ FATAL: Test manipulation detected"
3. REVERT all changes
4. Show original vs modified test
5. Require manual intervention

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The AI warning signs detection is described as "automatic" and happening "during execution," but there's no clear specification of how the AI should detect these patterns. The examples show what to look for, but don't provide concrete detection logic.

For example:

  • "Similar code patterns generated 2+ times in this session" - What defines "similar"? String similarity? AST comparison? Naming patterns?
  • "Implementation goes beyond test requirements" - How does the AI determine what's in the test vs what's not required?

Consider adding more specific detection criteria or acknowledging that these are guidelines for AI judgment rather than automated checks.

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Comment on lines +209 to +220
## 📊 Success Metrics

These are expected improvements based on Kent Beck's TDD methodology:

| Metric | Before Integration | After Integration (Expected) |
|--------|-------------------|-------------------|
| **Test Coverage** | 30% | 80%+ |
| **Bugs per Sprint** | 10 | 2-3 |
| **Refactoring Time** | 8h/feature | 1h/feature |
| **AI Warning Signs** | 5-10/week | 0-1/week |
| **Documentation-Code Match** | 60% | 95%+ |
| **Code Review Time** | 2h | 30min |
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[nitpick] The "Success Metrics" table presents specific numerical improvements (e.g., "Test Coverage: 30% → 80%+", "Bugs per Sprint: 10 → 2-3") as "expected improvements based on Kent Beck's TDD methodology." However, these specific numbers appear to be speculative rather than backed by empirical data from the integration itself.

The PR description mentions real results from a SAAB MDA project, but those metrics differ from these table values. Consider either:

  1. Labeling these as "Example Expected Improvements" or "Potential Improvements"
  2. Using actual measured data from the SAAB project
  3. Citing sources for these specific metrics
  4. Making it clearer that these are illustrative examples, not guarantees

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Comment on lines +305 to +334
## 📖 Real-World Example

### Project: E-Commerce Platform

**Problem**: Building user authentication and shopping cart system

**Before TDD Integration**:
- Spec-Kit created spec.md in 15 minutes ✅
- Plan.md generated architecture ✅
- AI coded 2000 lines in 1 hour 🏃‍♂️
- But: 15 bugs found in testing 😰
- And: AI added caching features (not requested) 🤦
- And: 30% test coverage 📉

**After TDD Integration**:
- Spec-Kit created spec.md in 15 minutes ✅
- Plan.md generated architecture ✅
- `/speckit.init-tdd` created CLAUDE.md ✅
- `/speckit.go` repeated 50 times for 50 tasks 🔄
- Result: 2000 lines in 3 hours (slower, but...) 🐢
- With: 3 bugs found in testing 😊
- With: No unrequested features ✨
- With: 85% test coverage 📈
- With: Clean commit history 📚

**Time Comparison**:
- Before: 1h code + 8h debugging = **9 hours total**
- After: 3h TDD coding + 1h refinement = **4 hours total**

**Net savings: 5 hours per feature**
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[nitpick] The "Real-World Example" appears to be a hypothetical scenario rather than actual data from a real project. The PR description mentions a "SAAB Maritime Domain Awareness Project" with specific real metrics, but this section uses "E-Commerce Platform" with different numbers.

Consider:

  1. Using the actual SAAB project data mentioned in the PR description (if real)
  2. Clearly labeling this as a "Hypothetical Example" or "Illustrative Scenario"
  3. Being consistent with whether this is real-world data or illustrative examples

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Comment on lines +1 to +10
# New Slash Commands for Spec-Kit

## Overview

This document describes two new productivity commands added to the Spec-Kit toolkit, designed to optimize Claude Code's context management and conversation efficiency.

## Commands Added

### 1. `/rec_remove_agents_mcp`

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This file describes "two new productivity commands" (/rec_remove_agents_mcp and /compact_with_topic) but doesn't mention the Kent Beck TDD commands (/speckit.init-tdd and /speckit.go) which are the main focus of this PR.

This creates documentation inconsistency. Consider either:

  1. Renaming this file to clarify it covers only the productivity commands (e.g., PRODUCTIVITY_COMMANDS_SUMMARY.md)
  2. Expanding it to cover all new commands including TDD integration
  3. Removing it from this PR if the productivity commands should be in a separate PR

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Comment on lines +356 to +358
**Formatting**: Black (Python), Prettier (TypeScript) <!-- Update based on your tech stack -->
**Linting**: Pylint (Python), ESLint (JavaScript/TypeScript) <!-- Update based on your tech stack -->
**Type Checking**: mypy (Python), TypeScript strict mode <!-- Update based on your tech stack -->
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The HTML comments on lines 356-358 indicating "Update based on your tech stack" create ambiguity. These are template placeholders that appear in the final output, which might confuse users who see them in the generated CLAUDE.md file.

Consider either:

  1. Removing these comments since the section header "[AUTO-POPULATED FROM plan.md]" already indicates these are examples
  2. Using a different marker format that's clearer (e.g., [EXAMPLES - will be auto-populated])
  3. Ensuring the /speckit.init-tdd command removes these comments when generating CLAUDE.md
Suggested change
**Formatting**: Black (Python), Prettier (TypeScript) <!-- Update based on your tech stack -->
**Linting**: Pylint (Python), ESLint (JavaScript/TypeScript) <!-- Update based on your tech stack -->
**Type Checking**: mypy (Python), TypeScript strict mode <!-- Update based on your tech stack -->
**Formatting**: Black (Python), Prettier (TypeScript)
**Linting**: Pylint (Python), ESLint (JavaScript/TypeScript)
**Type Checking**: mypy (Python), TypeScript strict mode

Copilot uses AI. Check for mistakes.
Next steps:
- Review implementation against spec.md
- Run full test suite: pytest
- Create pull request: /speckit.pr
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References a /speckit.pr command that doesn't exist in the repository. This command is not found in the templates/commands/ directory and is not documented anywhere in the PR or existing codebase.

Either:

  1. Remove this reference if the command doesn't exist
  2. Replace with an existing command or manual git workflow
  3. Note that this is a future command not yet implemented
Suggested change
- Create pull request: /speckit.pr
- Create pull request: git push && open a PR on GitHub

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@zirubak zirubak closed this Nov 12, 2025
@zirubak zirubak reopened this Nov 12, 2025
@zirubak zirubak closed this Nov 12, 2025
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