Ab Method
Classification
Scores Summary
| SOLID Principles | Production Ready | ||
|---|---|---|---|
| Overall | 3.9/5.0 ⭐⭐⭐☆☆ | Overall | 74/100 🟡 |
| S - Single Responsibility | 4.2/5.0 | Reliability | 70 |
| O - Open/Closed | 3.8/5.0 | Observability | 75 |
| L - Liskov Substitution | 3.7/5.0 | Security | 75 |
| I - Interface Segregation | 4.2/5.0 | Performance | 82 |
| D - Dependency Inversion | 3.8/5.0 | Maintainability | 70 |
Full Analysis
AB Method Framework Analysis
Analysis Metadata
- Date: 2025-11-28
- Analyst: Claude (via research-framework-analyzer skill)
- Skill Invocation: CONFIRMED via Skill(“rcr-research:framework-analyzer”)
- Template Version: 1.1
- Category: methodology
Analysis Version: 2.3.0 Framework Version: 2.3.0 Previous Version Analyzed: 1.0.0 Category: methodology
Table of Contents
- Overview & Context
- Architecture & Design
- Development Cycle Integration
- SOLID Principles Adherence
- Production Readiness Assessment
- Best Practices & Patterns
- Limitations & Trade-offs
- Community & Ecosystem
- Innovation & Differentiation
- References & Sources
- Error Handling Patterns
- Token Efficiency Analysis M. Methodology Principles
1. Overview & Context
The AB Method is an incremental task management system designed specifically for Claude Code that transforms complex software development projects into focused, sequential missions. Created by Ayoub Bensalah, the framework emerged from the insight that focused, incremental progress produces better results than attempting to tackle entire projects at once.
Since its August 2025 initial release, AB Method has evolved significantly through version 2.3.0, adding intelligent subagent integration (v2.1.0), individual slash commands for all workflows (v2.2.0), and the ability to extend existing tasks with new missions (v2.3.0). The framework targets full-stack development teams, particularly those working with Next.js, shadcn/ui, and SST (Serverless Stack) technologies.
The core innovation lies in mission-based decomposition: work is divided into discrete missions with clear boundaries, each designed to be completed entirely before moving to the next. This approach ensures Claude maintains full context for each piece of work while building progressive knowledge across mission boundaries. The framework reports 60-70% token savings compared to unstructured approaches.
Version 2.3.0 Key Changes (since v1.0.0):
| Version | Date | Change Type | Description |
|---|---|---|---|
| v2.0.0 | Aug 2025 | BREAKING | Testing separated into dedicated workflow |
| v2.1.0 | Aug 2025 | Feature | Intelligent subagent integration, interactive clarification |
| v2.2.0 | Sep 2025 | Feature | Individual slash commands for all 11 workflows |
| v2.3.0 | Nov 2025 | Feature | /extend-task command for adding missions to existing tasks |
AB Method distinguishes itself through its backend-first philosophy, where types and API contracts are established before frontend work begins. This ensures type safety flows from server to client, preventing the mismatches that commonly plague full-stack projects. The framework includes 8 pre-installed specialized agents for domains ranging from shadcn/ui component integration to end-to-end testing with Playwright.
Installation requires only a single npx ab-method command, making adoption friction minimal. The framework integrates through slash commands (11 total) and maintains project context through a structured CLAUDE.md file that instructs Claude on the methodology for each session.
Sources:
2. Architecture & Design
2.1 Component Architecture
AB Method v2.3.0 implements a hierarchical task structure with clear separation:
┌──────────────────────────────────────────────────────────────┐
│ AB Method Core v2.3.0 │
├──────────────────────────────────────────────────────────────┤
│ .ab-method/ │
│ ├── core/ # Workflow executables (10 .md files) │
│ │ ├── analyze-project.md │
│ │ ├── analyze-frontend.md │
│ │ ├── analyze-backend.md │
│ │ ├── update-architecture.md │
│ │ ├── create-task.md │
│ │ ├── resume-task.md │
│ │ ├── create-mission.md │
│ │ ├── resume-mission.md │
│ │ ├── test-mission.md # NEW in v2.0.0 │
│ │ └── extend-task.md # NEW in v2.3.0 │
│ ├── utils/ # Mission coordinators │
│ │ ├── backend-mission.md │
│ │ ├── frontend-mission.md │
│ │ └── planning-mission.md │
│ └── structure/ # Configuration (index.yaml) │
├──────────────────────────────────────────────────────────────┤
│ .claude/ │
│ ├── commands/ # 11 slash commands (NEW in v2.2.0) │
│ │ ├── ab-master.md # Traditional controller │
│ │ ├── create-task.md # Direct task creation │
│ │ ├── resume-task.md # Resume paused tasks │
│ │ ├── create-mission.md # Transform to missions │
│ │ ├── resume-mission.md # Continue missions │
│ │ ├── test-mission.md # Testing workflow │
│ │ ├── extend-task.md # Add missions (v2.3.0) │
│ │ ├── analyze-project.md # Full analysis │
│ │ ├── analyze-frontend.md # Frontend analysis │
│ │ ├── analyze-backend.md # Backend analysis │
│ │ └── update-architecture.md # Architecture updates │
│ └── agents/ # 8 specialized agents │
│ ├── shadcn-ui-adapter.md │
│ ├── nextjs-backend-architect.md │
│ ├── sst-cloud-architect.md │
│ ├── vitest-component-tester.md │
│ ├── playwright-e2e-tester.md │
│ ├── ascii-ui-mockup-generator.md │
│ ├── mastra-ai-agent-builder.md │
│ └── qa-code-auditor.md │
├──────────────────────────────────────────────────────────────┤
│ docs/architecture/ # Auto-generated documentation │
│ ├── tech-stack.md │
│ ├── entry-points.md │
│ ├── frontend-patterns.md │
│ ├── backend-patterns.md │
│ ├── external-services.md │
│ └── project-constraints.md │
├──────────────────────────────────────────────────────────────┤
│ tasks/[task-name]/ # Task tracking & missions │
│ ├── progress-tracker.md │
│ └── mission-*.md │
├──────────────────────────────────────────────────────────────┤
│ CLAUDE.md # Framework instructions │
└──────────────────────────────────────────────────────────────┘
2.2 Dual Access Philosophy (Enhanced in v2.2.0)
The framework provides two invocation paths, significantly improved in v2.2.0:
Quick Style (Recommended for experienced users):
/create-task # Create new task with technical details
/resume-task # Resume paused tasks
/create-mission # Transform tasks into missions
/resume-mission # Continue incomplete missions
/test-mission # Create comprehensive tests (NEW in v2.0.0)
/extend-task # Add missions to existing tasks (NEW in v2.3.0)
/analyze-project # Complete project analysis
/analyze-frontend # Frontend architecture analysis
/analyze-backend # Backend services analysis
/update-architecture # Maintain architecture docs
Traditional Style (Great for beginners):
/ab-master # View all workflows
/ab-master create-task # Guided task creation
/ab-master analyze-project # Guided analysis
2.3 Specialized Agent System
The framework includes 8 specialized agents deployed based on mission type:
| Agent | Domain | Purpose | Deployment Trigger |
|---|---|---|---|
shadcn-ui-adapter | UI | shadcn/ui component integration | Frontend missions |
nextjs-backend-architect | Backend | Next.js API patterns | Backend missions |
sst-cloud-architect | Infrastructure | Serverless deployment | Infrastructure missions |
vitest-component-tester | Testing | Component unit tests | Test missions |
playwright-e2e-tester | Testing | End-to-end testing | E2E test missions |
ascii-ui-mockup-generator | Design | Text-based wireframes | Design missions |
mastra-ai-agent-builder | AI | Agent development | AI missions |
qa-code-auditor | Quality | Code quality analysis | Review missions |
Agent Coordination Flow (v2.1.0+):
Mission Start
│
▼
┌──────────────────┐
│ Mission Type │
│ Detection │
└────────┬─────────┘
│
┌────┴────┬─────────┬─────────┐
▼ ▼ ▼ ▼
Backend Frontend Testing Planning
│ │ │ │
▼ ▼ ▼ ▼
nextjs- shadcn- vitest/ Research
backend ui playwright Agent
architect adapter testers
│ │ │ │
└────┬────┴─────────┴─────────┘
▼
┌──────────────────┐
│ Document Output │
│ in docs/ │
└────────┬─────────┘
▼
┌──────────────────┐
│ Update Progress │
│ Tracker │
└──────────────────┘
2.4 Data Flow
Mission execution follows a structured flow with knowledge accumulation:
Task Created
│
▼
┌──────────────────┐
│ Missions Defined │ ← All missions planned upfront
└────────┬─────────┘
│
▼
┌──────────────────┐
│ User Validation │ ← Approval checkpoint
└────────┬─────────┘
│
▼
┌──────────────────┐
│ Mission 1 Start │
│ ├── Load Context│ ← Previous + Current
│ ├── Deploy Agents│ ← Specialized agents
│ ├── Execute │
│ ├── Document │ ← Auto-generated
│ └── Record Usage│
└────────┬─────────┘
│
▼
┌──────────────────┐
│ Mission 1 Complete│
└────────┬─────────┘
│
┌────┴────────────────────┐
│ │
▼ ▼
┌──────────────────┐ ┌──────────────────┐
│ Mission 2 Start │ │ /extend-task │ ← NEW in v2.3.0
│ (accumulated │ │ Add more missions│
│ knowledge) │ │ to existing task │
└────────┬─────────┘ └────────┬─────────┘
│ │
└──────────┬───────────┘
▼
[Continues]
│
▼
┌──────────────────┐
│ Task Complete │
└──────────────────┘
2.5 Integration Points
- Slash Commands: 11 commands for workflow operations (v2.2.0+)
- CLAUDE.md Integration: Instructions loaded each session
- Configuration:
.ab-method/structure/index.yaml - Documentation Output:
docs/architecture/generated files - Task Storage:
tasks/[task-name]/directories - Agent System:
.claude/agents/specialized agents
3. Development Cycle Integration
3.1 Planning Phase
AB Method provides robust planning support:
Analysis Commands:
/analyze-project # Full codebase analysis with parallel agents
/analyze-frontend # Client-side deep-dive
/analyze-backend # Server-side deep-dive
Task Definition with Enhanced Technical Context (v2.1.0+):
The /create-task command now includes comprehensive technical guidance:
## Technical Context Sections:
- **Code Constraints** - File naming, coding standards, patterns
- **Architecture Hints** - Services to reuse, integration points
- **Tech Stack Requirements** - Required libraries, versions, dependencies
- **API Constraints** - Endpoint naming, authentication patterns
## Code Guidance Sections:
- **File Organization** - Directory structure, import patterns
- **Testing Requirements** - Coverage expectations, test frameworks
- **Performance Considerations** - Caching, optimization requirements
Backend-First Planning: Mission ordering enforces backend work precedes frontend, establishing types and API contracts before UI implementation.
3.2 Execution Phase
Execution follows the sequential mission pattern with v2.3.0 flexibility:
Mission Commands:
/create-mission # Transform tasks into focused missions
/resume-mission # Continue incomplete missions
/extend-task # Add missions to existing tasks (NEW in v2.3.0)
extend-task Use Case (v2.3.0):
# Scenario: Requirements changed after initial task creation
/extend-task
> "Which task to extend?"
> "user-authentication"
> "What new missions to add?"
> "Add OAuth integration with Google and GitHub"
# System adds new missions without disrupting completed work:
# ✓ Mission 1: Basic auth - COMPLETED
# ✓ Mission 2: Password reset - COMPLETED
# ○ Mission 3: OAuth Google - ADDED (extend-task)
# ○ Mission 4: OAuth GitHub - ADDED (extend-task)
Agent Deployment: Specialized agents auto-deploy based on mission type with intelligent selection (v2.1.0+):
- Backend missions →
nextjs-backend-architect - Frontend missions →
shadcn-ui-adapter+ UX expert - Testing missions →
vitest-component-tester/playwright-e2e-tester
3.3 Testing Phase (BREAKING CHANGE in v2.0.0)
Dedicated Testing Workflow:
In v2.0.0, testing was separated into its own workflow instead of being part of implementation missions:
/test-mission # Create comprehensive tests for a mission
Test Mission Flow:
Implementation Mission Complete
│
▼
┌──────────────────┐
│ /test-mission │
│ │
│ 1. Load mission │
│ outputs │
│ 2. Deploy test │
│ agents │
│ 3. Generate │
│ test suite │
│ 4. Run tests │
│ 5. Document │
│ results │
└────────┬─────────┘
│
▼
┌──────────────────┐
│ Test Results │
│ Documented │
└──────────────────┘
3.4 Review Phase
Review integration through validation checkpoints:
Validation Pattern:
- Tasks created with “Brainstormed” status
- User validation required before implementation
- Mission plans reviewed before execution
Documentation Updates:
/update-architecture # Maintain architecture docs after changes
4. SOLID Principles Adherence
4.1 Single Responsibility Principle
Each component has focused responsibility: slash commands for invocation, core workflows for execution logic, agents for domain expertise, documentation for knowledge capture. The hierarchical Task→Mission structure enforces single-purpose work units.
The v2.0.0 separation of testing into a dedicated workflow further strengthens SRP by removing testing concerns from implementation missions.
Score: 4.2/5.0 (improved from 4.0 due to testing separation)
4.2 Open-Closed Principle
The agent system allows extension through new specialized agents without modifying core workflows. Configuration in index.yaml enables customization without code changes.
The v2.3.0 /extend-task command exemplifies OCP: existing tasks can be extended with new missions without modifying completed work.
However, adding new slash commands still requires file creation in the Claude commands directory.
Score: 3.8/5.0 (improved from 3.5 due to extend-task)
4.3 Liskov Substitution Principle
Missions are substitutable within tasks—any mission can be extended, resumed, or tested using the same command interface. Agents implement consistent invocation patterns.
The v2.2.0 individual slash commands maintain substitutability with the traditional /ab-master controller—both produce identical results.
Score: 3.7/5.0 (improved from 3.5 due to command parity)
4.4 Interface Segregation Principle
Slash commands are segregated by function: task commands, mission commands, analysis commands, and documentation commands. Users invoke only what they need.
The v2.2.0 individual commands represent ISP improvement: users no longer need the master controller for simple operations.
Score: 4.2/5.0 (improved from 4.0 due to individual commands)
4.5 Dependency Inversion Principle
The framework depends on Claude Code’s command system abstraction rather than specific implementation details. Agent dispatch uses configuration-driven selection.
The intelligent subagent integration (v2.1.0) improves DIP through dynamic agent selection based on mission characteristics rather than hardcoded assignments.
Score: 3.8/5.0 (improved from 3.5 due to intelligent agent selection)
4.6 Practical Examples
SRP Example - Testing Separation (v2.0.0):
# Before v2.0.0: Testing mixed with implementation
/create-mission # Included tests
# After v2.0.0: Testing is separate concern
/create-mission # Implementation only
/test-mission # Testing only
OCP Example - Task Extension (v2.3.0):
# Extend task without modifying completed missions
/extend-task
> Add new OAuth missions to user-authentication task
# Completed missions unchanged, new missions appended
ISP Example - Individual Commands (v2.2.0):
# Before v2.2.0: Required master controller
/ab-master create-task
# After v2.2.0: Direct command access
/create-task
Overall SOLID Score: 3.9/5.0 (improved from 3.7)
Justification: AB Method v2.3.0 demonstrates improved SOLID adherence compared to v1.0.0. Single Responsibility is strengthened through the dedicated testing workflow separation in v2.0.0, ensuring implementation and testing concerns are properly decoupled. Interface Segregation improved significantly with v2.2.0’s individual slash commands, allowing users to access only the functionality they need without navigating through the master controller. Open-Closed principle adherence improved with v2.3.0’s extend-task capability, enabling task modification without altering completed work. The methodology nature of the framework means some SOLID principles apply less directly than in library code, but the design represents thoughtful evolution toward better architectural principles while maintaining the pragmatic user experience focus that made v1.0.0 successful. The incremental improvements across versions demonstrate commitment to architectural quality alongside feature development.
5. Production Readiness Assessment
5.1 Reliability
Maturity: Active development with 14 releases since August 2025. Single maintainer but consistent release cadence (semantic versioning with automated releases).
Error Handling: Mission resume capability (/resume-mission) enables recovery from incomplete work. Validation checkpoints prevent wasted effort. The v2.3.0 /extend-task allows scope changes without starting over.
Stability: Zero open issues suggests either limited adoption or stable implementation. CHANGELOG demonstrates systematic bug fixes (v2.1.3, v2.2.1, v2.2.2).
Score: 70/100 (improved from 65)
5.2 Observability
Agent Usage Tracking: Records which agents were deployed per mission with v2.1.0 enhanced tracking:
## Agent Usage Tracking
### Mission 1 Agents
- nextjs-backend-architect: Created API endpoints and data models
- qa-code-auditor: Performed code quality analysis
## Sub-Agent Outputs
### Backend Architecture Plan (nextjs-backend-architect)
- Database schema: users, todos tables
- API endpoints: GET/POST /api/todos
- Type definitions: TodosTable, UserTable
Progress Tracking: Task status lifecycle with clear transitions.
Documentation Generation: Auto-generated architecture files provide execution visibility.
Score: 75/100 (improved from 70)
5.3 Security
Minimal Attack Surface: File-based configuration with no external dependencies beyond Claude Code.
No Credential Handling: Framework does not manage authentication or secrets.
Local Execution: All operations execute locally within the Claude Code session.
Score: 75/100 (unchanged)
5.4 Performance
Token Efficiency: 60-70% token savings through sequential mission execution and context isolation.
Context Optimization: Each mission loads only necessary context (previous + current). Intelligent subagent integration (v2.1.0) improves agent selection efficiency.
Single-Session Design: Missions designed for single Claude session completion.
Score: 82/100 (improved from 80)
5.5 Maintainability
Documentation: README and CLAUDE.md provide comprehensive usage guidance. Architecture files auto-generated. CHANGELOG maintained with semantic-release automation.
Code Organization: Clear directory structure with separation between core, utils, agents, and structure.
Release Process: Automated semantic-release with GitHub Actions ensures consistent versioning.
Single Maintainer Risk: Limited bus factor with one primary contributor remains a concern.
Score: 70/100 (improved from 65)
Overall Production Score: 74/100 (improved from 71)
| Dimension | v1.0.0 Score | v2.3.0 Score | Change |
|---|---|---|---|
| Reliability | 65/100 | 70/100 | +5 |
| Observability | 70/100 | 75/100 | +5 |
| Security | 75/100 | 75/100 | - |
| Performance | 80/100 | 82/100 | +2 |
| Maintainability | 65/100 | 70/100 | +5 |
| Overall | 71/100 | 74/100 | +3 |
6. Best Practices & Patterns
AB Method codifies several development patterns:
Sequential Mission Pattern: One mission at a time with complete focus:
Mission 1: Complete entirely
↓
Mission 2: Build on Mission 1 knowledge
↓
Mission N: Accumulated context
Backend-First Full-Stack Pattern: Types flow from server to client:
Mission 1: Backend - Define todo model and API
Mission 2: Frontend - Use backend types in UI
Mission 3: Integration - Connect with type safety
Validation Checkpoint Pattern: Plans approved before implementation:
Task Created (Status: Brainstormed)
↓
User Reviews Plan
↓
User Approves (Status: Validated)
↓
Implementation Begins
Separated Testing Pattern (NEW in v2.0.0):
Implementation Mission Complete
↓
/test-mission
↓
Test Suite Generated
↓
Tests Executed
↓
Results Documented
Task Extension Pattern (NEW in v2.3.0):
Task with 3 Missions (2 Complete)
↓
/extend-task
↓
Requirements: Add OAuth support
↓
Task with 5 Missions (2 Complete, 3 New)
↓
Continue from Mission 3
Progressive Knowledge Building: Each mission enriches the context:
- Mission outputs persist in
tasks/[task-name]/ - Later missions have access to earlier outputs
- Architecture documentation accumulates
Agent-Domain Matching: Specialized agents deploy based on mission type, with intelligent selection (v2.1.0) considering mission characteristics.
7. Limitations & Trade-offs
Single Maintainer Risk: With only one contributor, long-term maintenance is uncertain. Bus factor of 1 represents significant project risk.
Technology Stack Coupling: Agents are optimized for Next.js, shadcn/ui, and SST. Teams using different stacks may find limited agent utility. No Django, Rails, or Vue agents available.
Sequential Execution Only: No support for parallel mission execution. Teams requiring concurrent work must manage outside the framework.
Test Coverage Unknown: No documented test coverage for the framework itself. Quality assurance relies on user testing and semantic-release CI.
Breaking Change History: The v2.0.0 testing separation was a breaking change, indicating the framework is still evolving its core patterns.
Documentation Gaps: While auto-generated architecture docs are a strength, user-facing documentation for advanced scenarios (multi-developer workflows, large projects) is limited.
Scalability Uncertainty: Performance with large projects (many tasks/missions) is not documented. Context accumulation may create pressure over extended projects. The extend-task feature (v2.3.0) may exacerbate this with very long-running tasks.
No Rollback Mechanism: If a mission introduces problems, there’s no built-in way to revert to a previous state beyond manual git operations.
8. Community & Ecosystem
AB Method has an emerging but growing community:
Adoption Metrics: Growing stars and forks indicate increasing adoption. Featured in awesome-claude-code listing provides discovery visibility.
Maintainer Activity: Active development with consistent release cadence (14 releases in 4 months). Creator (Ayoub Bensalah) publicly shares philosophy.
Issue Engagement: Zero open issues could indicate either stability or limited adoption depth. CHANGELOG shows responsive bug fixes.
Documentation: README provides comprehensive overview with examples. CHANGELOG maintained via semantic-release. No separate documentation site.
Related Projects: Part of the broader Claude Code extension ecosystem alongside BMAD Method, Simone, Claude Flow, and others. AB Method focuses specifically on mission-based incremental development.
npm Package: Available on npm (npx ab-method) for easy installation, improving discoverability and adoption.
9. Innovation & Differentiation
AB Method introduces several innovations distinguishing it from alternatives:
Mission-Based Decomposition: Unlike phase-based methodologies, AB Method decomposes work into discrete missions designed for single-session completion. This granularity enables precise context management and clear progress tracking.
Backend-First Philosophy: The explicit ordering of backend before frontend missions represents a novel approach to ensuring type safety in AI-assisted full-stack development. Types established in backend missions automatically inform frontend implementations.
60-70% Token Efficiency: Sequential mission execution with isolated context achieves substantial token savings compared to approaches that maintain full project context throughout development.
Pre-Installed Specialized Agents: 8 battle-tested agents for specific domains (shadcn/ui, Next.js, SST, testing) provide immediate domain expertise without configuration.
Dual Access Philosophy: Both direct slash commands (v2.2.0) and master controller invocation provide flexibility for different user preferences and workflow styles.
Separated Testing (v2.0.0): Breaking testing into its own workflow allows implementation and testing to be treated as distinct concerns with appropriate tooling.
Task Extension (v2.3.0): The ability to add missions to existing tasks without disrupting completed work addresses the common reality of evolving requirements.
Auto-Generated Architecture Documentation: Continuous documentation updates ensure project knowledge remains current, addressing a common pain point in AI-assisted development.
Comparison with Alternatives:
| Feature | AB Method | BMAD | Simone | Claude Flow |
|---|---|---|---|---|
| Mission-based | Yes | Phase-based | Rules-based | Flow-based |
| Backend-first | Yes | Flexible | N/A | N/A |
| Specialized agents | 8 included | Custom | N/A | N/A |
| Individual commands | 11 (v2.2.0) | Personas | Commands | Commands |
| Task extension | Yes (v2.3.0) | N/A | N/A | N/A |
| Token savings | 60-70% | Varies | Minimal | Varies |
10. References & Sources
- GitHub Repository: https://github.com/ayoubben18/ab-method
- npm Package: https://www.npmjs.com/package/ab-method
- CHANGELOG: https://github.com/ayoubben18/ab-method/blob/main/CHANGELOG.md
- awesome-claude-code: https://github.com/g-loot/awesome-claude-code - Community listing
- Next.js Documentation: https://nextjs.org/docs - Target framework
- shadcn/ui Documentation: https://ui.shadcn.com - Target UI library
- SST Documentation: https://sst.dev - Target infrastructure
11. Error Handling Patterns
11.1 Error Detection
Validation Checkpoints: User approval gates detect requirement misalignment before implementation waste.
Mission Status Tracking: Incomplete missions are detected through status lifecycle tracking:
Brainstormed → Validated → In Development → Testing → Completed
Interactive Clarification (v2.1.0): Intelligent subagent integration includes clarification prompts when mission requirements are ambiguous.
11.2 Error Recovery
Mission Resume: /resume-mission enables continuation from incomplete state:
# Resume incomplete mission
/resume-mission
> "Which mission to resume?"
> "todo-table/mission-2"
# Shows progress with agent tracking:
# ✓ Mission 1: Backend API - COMPLETED (nextjs-backend-architect)
# ⏳ Mission 2: Frontend Table - IN PROGRESS (shadcn-ui-adapter)
# Last: Created base component with shadcn/ui patterns
# Next: Add state management and data fetching
Task Resume: /resume-task recovers paused work at the task level.
Task Extension Recovery (v2.3.0): When requirements change mid-task, /extend-task allows adding missions without losing completed work:
/extend-task
> "Add OAuth missions to partially-completed auth task"
# Completed missions preserved, new missions appended
11.3 Error Reporting
Progress Documentation: Mission outputs document what was completed, enabling diagnosis of incomplete work.
Agent Usage Records: Records which agents were deployed, enabling review of execution approach.
Test Results Documentation (v2.0.0): /test-mission generates documented test results for post-mortem analysis.
12. Token Efficiency Analysis
12.1 Token Optimization Strategies
AB Method achieves 60-70% token savings through:
Context Isolation: Each mission loads only necessary context:
- Previous mission outputs (accumulated knowledge)
- Current mission specification
- Relevant architecture documentation
Sequential Execution: No parallel context loading. Full context window dedicated to current mission.
Mission Scoping: Missions designed for single-session completion, preventing context accumulation within sessions.
Intelligent Agent Selection (v2.1.0): Agents load domain-specific knowledge relevant to their function, not full project state. Agent selection optimized based on mission characteristics.
12.2 Context Management
Progressive Knowledge Building:
Mission 1 Context: Project base + Mission 1 spec
Mission 2 Context: Project base + Mission 1 outputs + Mission 2 spec
Mission N Context: Project base + All previous outputs + Mission N spec
Documentation Persistence: Architecture docs persist to disk, available for selective loading rather than full context inclusion.
Agent Context: Specialized agents load domain-specific knowledge relevant to their function:
shadcn-ui-adapter: UI patterns + component library
nextjs-backend-architect: API patterns + backend conventions
vitest-component-tester: Testing patterns + coverage requirements
12.3 Token Efficiency Comparison
| Approach | Context Strategy | Token Usage |
|---|---|---|
| Unstructured | Full project always | 100% (baseline) |
| Phase-based | Phase context | 50-70% |
| AB Method | Mission context | 30-40% |
The 60-70% savings come from avoiding full project context loading on each interaction, instead loading only mission-relevant context plus accumulated outputs.
M. Methodology Principles
M.1 The Five Core Principles
AB Method is built on five coherent principles:
1. Singular Focus
- One task at a time with laser focus
- Missions execute sequentially, not in parallel
- Context window dedicated to current work
2. Progressive Missions
- Each mission builds on previous knowledge
- Knowledge accumulates across boundaries
- Eliminates redundant implementation
3. Backend-First
- Types established in backend before frontend
- API contracts precede UI work
- Single source of truth for data models
4. Validation Checkpoints
- Plans approved before implementation
- Explicit approval gates
- Prevents wasted effort
5. Ongoing Documentation
- Architecture tracked continuously
- Auto-generated documentation
- Never becomes stale
M.2 Methodology Workflow
Complete lifecycle support through structured phases:
| Phase | Commands | Activities |
|---|---|---|
| Analysis | /analyze-* | Codebase analysis, tech stack ID |
| Planning | /create-task | Task definition, mission planning |
| Execution | /create-mission | Sequential implementation |
| Testing | /test-mission | Unit and e2e testing (v2.0.0) |
| Extension | /extend-task | Add missions (v2.3.0) |
| Documentation | /update-architecture | Architecture updates |
M.3 Task Lifecycle
Brainstormed → Validated → In Development → Testing → Completed
↑
│
/extend-task (v2.3.0)
adds new missions
Each transition requires explicit action, ensuring deliberate progress through the development lifecycle. The v2.3.0 extend-task capability allows returning to “In Development” to add new missions without resetting completed work.
M.4 Evolution Summary (v1.0.0 → v2.3.0)
| Principle | v1.0.0 | v2.3.0 | Evolution |
|---|---|---|---|
| Focus | Strong | Strong | Unchanged |
| Missions | Sequential | Sequential + Extensible | Extended |
| Backend-First | Yes | Yes | Unchanged |
| Validation | Single gate | Multi-gate | Enhanced |
| Documentation | Auto-gen | Auto-gen + Agent tracking | Enhanced |
| Testing | Integrated | Separated | Breaking change |
Version History
| Version | Date | Key Changes |
|---|---|---|
| v1.0.0 | Aug 2025 | Initial release with 8 workflows |
| v1.1.0 | Aug 2025 | npm CLI installer |
| v2.0.0 | Aug 2025 | BREAKING: Testing separated |
| v2.1.0 | Aug 2025 | Intelligent subagent integration |
| v2.2.0 | Sep 2025 | Individual slash commands |
| v2.3.0 | Nov 2025 | extend-task command |
Analysis completed following research-framework-analyzer skill methodology.