Workflows: How Commands Work Together
The Engineering Playbook is organized around major workflows. This page shows how commands combine to solve real problems.
Feature Development Workflow
From planning through production, here’s how commands work together to deliver features:
PLANNING PHASE DEVELOPMENT PHASE CODE REVIEW PHASE RELEASE PHASE
│ │ │ │
├─ /pb-plan ├─ /pb-start ├─ /pb-cycle ├─ /pb-release
│ │ │ │
├─ /pb-adr ├─ /pb-cycle (iterate) ├─ /pb-testing ├─ /pb-deployment
│ │ │ │
├─ /pb-patterns-* ├─ /pb-testing ├─ /pb-security └─ Verify in
│ │ │ production
├─ /pb-observability ├─ /pb-security ├─ /pb-logging
│ │ │
└─ /pb-performance ├─ /pb-standards ├─ /pb-review-*
│
├─ /pb-documentation
│
├─ /pb-commit
│
└─ /pb-pr
Step-by-Step Execution
-
Plan Phase (before coding)
/pb-plan- Lock scope, define success criteria, identify risks/pb-adr- Document architectural decisions/pb-patterns-*- Reference relevant patterns (core, async, database, distributed)/pb-observability- Plan monitoring and observability requirements/pb-performance- Identify performance targets and constraints
-
Development Phase (iterative)
/pb-start- Create feature branch, establish iteration rhythm/pb-cycle- Develop feature:- Write code following
/pb-standards - Include tests as you code (
/pb-testing) - Review logging strategy (
/pb-logging) - Update documentation (
/pb-documentation) - Self-review changes
- Request peer review (quality gates)
- Write code following
- Repeat until feature is complete
-
Code Review Phase (before merging)
/pb-cycle- Iterate on feedback if needed/pb-testing- Verify test coverage and quality/pb-security- Security checklist during review/pb-logging- Logging standards validation/pb-review-*- Additional specialized reviews as needed:/pb-review-hygiene- Code quality and patterns/pb-review-product- Product alignment (if user-facing)/pb-review-tests- Test suite depth and coverage/pb-release- Final senior engineer review
-
Commit & PR Phase
/pb-commit- Create atomic, well-formatted commit(s)/pb-pr- Create pull request with context and rationale
-
Release Phase (after merge)
/pb-release- Pre-release checklist (security, performance, docs)/pb-deployment- Choose deployment strategy (blue-green, canary, rolling)- Verify in production (monitor, observe)
Incident Response Workflow
When production is down, this workflow guides rapid assessment and recovery:
INCIDENT DECLARED ASSESSMENT MITIGATION RECOVERY POST-INCIDENT
│ │ │ │ │
├─ PAGE ONCALL ├─ /pb-incident ├─ Rollback (fastest) ├─ /pb-observability├─ /pb-incident
│ │ (Severity: P0-P3) │ │ │ (Root cause
├─ GATHER INFO │ ├─ Hotfix (targeted) ├─ MONITOR │ analysis)
│ ├─ Identify root │ │ │
└─ ESTABLISH │ cause (quick) └─ Feature disable └─ Verify health └─ /pb-adr
COMMAND POST │ (safest) (Document
└─ Choose strategy decision)
Step-by-Step Execution
-
Incident Declaration (0 minutes)
- Page oncall engineer or incident lead
- Establish command post (Slack channel, bridge, etc.)
- Gather initial information (what’s broken, who’s affected, customer impact)
-
Assessment Phase (0-5 minutes)
/pb-incident- Run triage checklist:- What’s the severity? (P0 = all users, P1 = major subset, P2 = feature, P3 = minor)
- Quick root cause hypothesis?
- What’s the fastest mitigation? (rollback, hotfix, disable feature)
- Decide: Rollback, Hotfix, or Feature Disable?
-
Mitigation Phase (5-30 minutes, depending on strategy)
- Rollback (fastest, 5-10 min) - Revert last deployment
- Hotfix (targeted, 15-30 min) - Emergency fix, test, deploy
- Feature Disable (safest, 5-15 min) - Kill feature flag, keep code
-
Recovery & Monitoring (30+ minutes)
/pb-observability- Monitor key metrics during recovery:- Error rates returning to baseline?
- Latency normalized?
- User-visible impact resolved?
- Maintain open communication with stakeholders
-
Post-Incident (within 24 hours)
/pb-incident- Comprehensive incident review:- What was the root cause?
- How did we miss it pre-deployment?
- What’s the permanent fix?
/pb-adr- Document decision to prevent recurrence- Schedule permanent fix into sprint
Team Onboarding Workflow
Bringing new team members up to speed systematically:
PREPARATION FIRST DAY FIRST WEEK RAMP-UP GROWTH & GROWTH
│ │ │ │ │
├─ /pb-onboarding ├─ /pb-start ├─ /pb-knowledge- ├─ /pb-cycle ├─ /pb-team
│ (Setup access) │ (orientation) │ transfer │ (first feature) │ (feedback)
│ │ │ │ │
├─ SETUP DEV ENV ├─ INTRO TO CODEBASE ├─ /pb-guide ├─ /pb-pr ├─ RETROSPECTIVE
│ │ │ (SDLC framework) │ │
├─ ASSIGN MENTOR ├─ ROLE CLARIFICATION ├─ /pb-standards └─ Peer review └─ CAREER
│ │ │ (working principles) feedback DEVELOPMENT
└─ DOCS ACCESS └─ CALENDAR INVITES └─ /pb-context
(decisions, roadmap)
Step-by-Step Execution
-
Preparation Phase (before hire starts)
/pb-onboarding- Prepare:- Set up development environment
- Create accounts and access
- Assign mentor/buddy
- Gather documentation
-
First Day
/pb-start- Orientation:- Welcome, team introductions
- Development environment walkthrough
- Assign initial tasks
- Set up calendar invites for regular syncs
-
First Week
/pb-knowledge-transfer- Transfer knowledge:- System architecture overview
- Key decision history
- Code organization tour
/pb-guide- Learn SDLC framework:- 11 phases of development
- Quality gates
- Review process
/pb-standards- Learn working principles:- Coding standards
- Communication norms
- Collaboration expectations
/pb-context- Understand project:- Current roadmap
- Major decisions
- Team priorities
-
Ramp-Up Phase (weeks 2-4)
/pb-cycle- Contribute first feature:- Pick small feature or bug fix
- Follow full cycle (plan → develop → review → commit → PR)
- Get peer feedback
- Request review, fix feedback, merge PR
- Build confidence in workflow
-
Growth Phase (ongoing)
/pb-team- Team feedback:- Retrospectives
- 1-on-1s
- Career development
- Increase ownership and autonomy
- Mentor future team members
Periodic Quality Reviews Workflow
Regular check-ins on different aspects of code and team health:
MONTHLY CADENCE QUARTERLY CADENCE AS-NEEDED
│ │ │
├─ /pb-review-hygiene ├─ /pb-review-hygiene ├─ /pb-review (comprehensive)
│ (Quality) │ (Tech debt) │
│ │ ├─ /pb-performance
├─ /pb-review-tests ├─ /pb-review-product │ (Bottlenecks)
│ (Coverage) │ (Fit & vision) │
│ │ ├─ /pb-review-docs
└─ /pb-logging └─ Team retrospective │ (Accuracy)
(Standards) └─ /pb-release
(Before release)
Recommended Schedule
| Frequency | Review | Purpose |
|---|---|---|
| Monthly | /pb-review-hygiene | Code quality, patterns, maintainability |
| Monthly | /pb-review-tests | Test coverage, quality, edge cases |
| Monthly | /pb-logging | Logging strategy, standards, compliance |
| Quarterly | /pb-review-hygiene | Technical debt, cleanup opportunities |
| Quarterly | /pb-review-product | Feature fit, user feedback, roadmap alignment |
| Quarterly | Team retrospective | Team health, communication, growth |
| As-needed | /pb-release | Final gate before production release |
| As-needed | /pb-review | Comprehensive multi-perspective audit |
Pattern Selection Workflow
When designing a new feature or system, follow this workflow to select and combine patterns:
UNDERSTAND PROBLEM SELECT CORE PATTERN IDENTIFY ASYNC NEEDS COMPLETE DESIGN
│ │ │ │
├─ Define constraints ├─ /pb-patterns-core ├─ /pb-patterns-async ├─ /pb-adr
│ │ (SOA, events, etc.) │ (callbacks, │ (Record decision)
├─ Identify goals │ │ promises, etc.) │
│ ├─ Check for conflicts/ ├─ /pb-patterns-db ├─ /pb-observability
├─ Consider scale │ composition │ (pooling, etc.) │ (Monitoring plan)
│ │ │ │
└─ Review constraints └─ Validate trade-offs ├─ /pb-patterns- └─ /pb-performance
│ distributed (Perf targets)
│ (saga, CQRS, etc.)
│
└─ Plan combinations
Step-by-Step Execution
-
Understand Problem
- Define requirements and constraints
- Identify scalability goals
- List non-functional requirements (latency, throughput, consistency)
-
Select Architectural Pattern (
/pb-patterns-core+/pb-patterns-resilience)- Architecture: SOA, Event-Driven, Strangler Fig (core)
- Resilience: Retry, Circuit Breaker, Rate Limiting (resilience)
- Match pattern to problem
- Check for conflicts with existing architecture
-
Identify Async Needs (
/pb-patterns-async)- Do you need callbacks, promises, async/await, reactive streams?
- Worker threads or job queues?
- Real-time vs. eventual consistency?
-
Database Considerations (
/pb-patterns-db)- Connection pooling strategy?
- Query optimization needed?
- Replication or sharding?
-
Distributed System Patterns (
/pb-patterns-distributed)- Multiple services / microservices?
- Need saga or distributed transactions?
- CQRS for read/write separation?
-
Document Decision (
/pb-adr)- Record pattern choices
- Explain trade-offs
- Document alternative considered
-
Plan Observability (
/pb-observability)- How will you monitor?
- Key metrics to track?
- Alerting strategy?
-
Set Performance Targets (
/pb-performance)- Latency requirements?
- Throughput targets?
- Resource limits?
Daily Workflow
A typical day for an engineer using the playbook:
MORNING MIDDAY AFTERNOON END OF DAY
│ │ │ │
├─ /pb-resume ├─ /pb-context ├─ /pb-cycle ├─ /pb-pause
│ (Get context) │ (Big picture) │ (Final self-review) │ (Preserve context)
│ │ │ │
├─ /pb-standup ├─ /pb-patterns ├─ Ready to ship? └─ Update trackers,
│ (Write standup) │ (Plan next work) │ → /pb-ship document state
│ │ │
└─ /pb-cycle └─ /pb-cycle └─ Code review feedback
(Self-review) (Develop feature) (Address if needed)
(Peer review if ready)
Session boundaries: /pb-pause and /pb-resume work as bookends-pause preserves context at end of session, resume recovers it at start of next.
Shipping: When focus area is code-complete, use /pb-ship for the full journey: specialized reviews → PR → peer review → merge → release → verify.
Next Steps
- Decision Guide - Find the right command for any situation
- Command Reference - Browse all commands
- Integration Guide - Deep dive on command relationships