Who RIPP Is For

Who RIPP Is For

Category: Audience and Use Case Targeting


Ideal Adopters

RIPP™ is designed for teams and individuals who need durable, structured specifications that prevent intent erosion and enable confident delivery.


1. AI-Assisted Development Teams

Profile: Teams using AI coding assistants (Copilot, ChatGPT, etc.) to accelerate development.

Why RIPP helps:

Use cases:

Team size: Any (individual contributors to large teams)

Maturity level: Early-stage startups to mature engineering orgs experimenting with AI workflows


2. Platform and Infrastructure Teams

Profile: Teams building internal platforms, APIs, or shared services used by other teams.

Why RIPP helps:

Use cases:

Team size: 5+ engineers, often with consumers across multiple teams

Maturity level: Mid-stage to mature organizations with platform engineering practices


3. Product Teams Shipping Customer-Facing Features

Profile: Teams delivering features directly to users, where quality and clarity are essential.

Why RIPP helps:

Use cases:

Team size: Any (solo developers to 50+ person product teams)

Maturity level: Startups to enterprises


4. Compliance-Driven Organizations

Profile: Teams operating in regulated industries (healthcare, finance, government) where auditability is mandatory.

Why RIPP helps:

Use cases:

Team size: Any, but especially common in 20+ person orgs with dedicated compliance roles

Maturity level: Mid-stage to enterprise organizations in regulated industries


5. Open Source Maintainers

Profile: Maintainers of open source projects who need clear specifications for contributors.

Why RIPP helps:

Use cases:

Team size: 1-10 core maintainers, unlimited contributors

Maturity level: Mature projects with active contributor communities


6. Consultancies and Agencies

Profile: Teams building software for clients, where handoff and clarity are critical.

Why RIPP helps:

Use cases:

Team size: 3-50 person delivery teams

Maturity level: Boutique agencies to large consultancies


Specific Use Cases

Use Case 1: Rapid Prototype → Production Deployment

Scenario: You build a prototype with AI in 2 hours. It works. Now you need to ship it to production.

How RIPP helps:

  1. Extract RIPP packet from prototype (document intent, contracts, learnings)
  2. Review RIPP packet with team (identify security gaps, missing failure modes)
  3. Approve RIPP packet (becomes the production contract)
  4. Rebuild feature for production (using RIPP as specification)
  5. RIPP packet survives as documentation (intent preserved even if code changes)

Result: Fast prototyping + production rigor


Use Case 2: Multi-Team API Design

Scenario: Your backend team is building an API consumed by 3 frontend teams. Miscommunication leads to rework.

How RIPP helps:

  1. Backend team writes RIPP packet (defines API contracts, error codes, permissions)
  2. Frontend teams review RIPP packet (catch mismatches early)
  3. Approve RIPP packet before implementation (alignment before coding)
  4. Backend implements to RIPP spec (contract is authoritative)
  5. Frontend teams build against RIPP contracts (no surprises)

Result: Fewer integration bugs, faster delivery


Use Case 3: Security and Compliance Audit

Scenario: Your company needs SOC 2 compliance. Auditors ask, “How do you document permissions and audit events?”

How RIPP helps:

  1. Write Level 3 RIPP packets for all features handling sensitive data
  2. Include permissions, audit_events, and nfrs sections
  3. Version RIPP packets in Git (audit trail via commit history)
  4. Reference RIPP packets in compliance documentation
  5. Auditors review RIPP packets as authoritative specs

Result: Clear compliance documentation, faster audits


Use Case 4: Onboarding New Engineers

Scenario: A new engineer joins and asks, “Why does this feature work this way?”

Without RIPP:

With RIPP:

Result: Faster onboarding, reduced knowledge silos


Use Case 5: AI Code Generation with Guardrails

Scenario: You want to use AI to generate features, but you’re concerned about security gaps and missing edge cases.

How RIPP helps:

  1. Write RIPP packet first (define permissions, failure modes, NFRs)
  2. Review and approve RIPP packet (security boundaries explicit)
  3. Prompt AI with RIPP packet as context (“Implement this RIPP spec in Python”)
  4. AI generates code (guided by RIPP’s contracts and constraints)
  5. Review generated code against RIPP (validate conformance)

Result: AI speed + human oversight


Who RIPP Is NOT For

RIPP is not suitable for all teams or projects. RIPP may not be a good fit if:


❌ You’re Building One-Off Scripts or Throwaway Prototypes

Why: If the code will never reach production or be maintained, RIPP is overhead.

Better approach: Write the script, document with comments if needed, move on.

RIPP is for durable features, not temporary experiments.


❌ Your Team Already Has Mature, Stable Specifications

Why: If you have comprehensive ADRs, OpenAPI specs, and test coverage, RIPP may be redundant.

When to consider RIPP anyway:

RIPP consolidates. If you don’t need consolidation, you may not need RIPP.


❌ You’re Operating in Pure Research or Exploration Mode

Why: Research codebases prioritize experimentation over structure. RIPP adds rigor that may slow exploration.

When RIPP becomes useful: When research transitions to production or when learnings need to be preserved.

RIPP is for delivery, not discovery.


❌ Your Team Resists Process and Documentation

Why: RIPP requires deliberate specification work. If your team views all documentation as bureaucracy, adoption will fail.

Mitigation:

If the team won’t engage, RIPP won’t help.


❌ You’re in Crisis Mode (Production Incident, Emergency Hotfix)

Why: During incidents, fix first, document later.

When to write RIPP: After the incident, capture learnings in a RIPP packet for future reference.

RIPP is for deliberate development, not firefighting.


Team Readiness Criteria

Your team is ready for RIPP if:

✅ You’ve experienced “intent erosion” (features shipped with unclear requirements)

✅ Code reviews frequently reveal missing edge cases or security gaps

✅ Onboarding new engineers is slow due to undocumented assumptions

✅ You’re using AI to generate code and want durable specifications

✅ You’re building APIs or platforms consumed by other teams

✅ You operate in a regulated industry requiring audit trails

✅ You value “review specs before code” workflows

Your team may NOT be ready if:

❌ Documentation is viewed as pure overhead with no value

❌ Features are simple CRUD with no complex permissions or failure modes

❌ The team is in pure exploration/research mode

❌ You’re building throwaway prototypes with no production intent

❌ Time-to-market is measured in hours, not days or weeks


Organizational Fit

Organization Type RIPP Fit Why
Early-stage startup (1-5 people) ⚠️ Moderate RIPP adds rigor but may slow rapid iteration. Use Level 1 for critical features only.
Growth-stage startup (10-50) ✅ High Intent erosion accelerates at scale. RIPP prevents scattered requirements.
Mid-market company (50-200) ✅ High Cross-team coordination requires explicit contracts. RIPP provides single source of truth.
Enterprise (200+) ✅ High Compliance, auditability, and onboarding challenges make RIPP valuable.
Open source (any size) ✅ High Distributed contributors need clear specifications. RIPP reduces maintainer burden.
Consultancy/Agency ✅ High Client handoffs and scope management benefit from explicit contracts.
Research lab ❌ Low Pure exploration doesn’t need structured specs. Use RIPP when transitioning to production.

Industry Fit

Industry RIPP Fit Why
Financial services ✅ High Compliance, audit trails, and permissions are mandatory. RIPP Level 3 ideal.
Healthcare ✅ High HIPAA compliance requires documented data handling and access controls.
Government/Defense ✅ High Strict documentation and audit requirements. RIPP provides traceability.
SaaS/Cloud ✅ High Multi-tenant systems require explicit tenant isolation and permissions.
E-commerce ✅ Moderate-High Payment and PII handling benefit from RIPP Level 2-3.
Media/Entertainment ⚠️ Moderate RIPP useful for APIs and platforms, less so for content-heavy workflows.
Gaming ⚠️ Low-Moderate Rapid iteration may conflict with RIPP’s rigor. Use for backend services, not gameplay.
EdTech ✅ Moderate-High Student data privacy and compliance make RIPP valuable.

Role-Specific Value

For Product Managers

RIPP helps you:


For Engineering Managers

RIPP helps you:


For Security Engineers

RIPP helps you:


For DevOps/SRE

RIPP helps you:


For QA/Test Engineers

RIPP helps you:


For Individual Contributors

RIPP helps you:


When to Start Using RIPP

Start with RIPP if:

✅ You’re beginning a new project (establish RIPP from day 1)

✅ You’re refactoring a critical system (document intent before rewriting)

✅ You’re transitioning a prototype to production (extract RIPP from learnings)

✅ You’re building an API or platform (RIPP defines contracts)

✅ You’re facing an audit (RIPP provides compliance documentation)

✅ You’re onboarding multiple new engineers (RIPP reduces knowledge transfer burden)

Start small:

Expand gradually: As your team sees value, adopt RIPP more broadly.


Summary: Is RIPP Right for You?

You Should Use RIPP If You Should NOT Use RIPP If
You need durable, structured specifications You’re building throwaway prototypes
You’re using AI to generate code You already have mature, stable specs
You’re building APIs for other teams You’re in pure research mode
You operate in a regulated industry Your team resists all documentation
You’ve experienced intent erosion You’re in crisis/firefighting mode
You value “spec review before code review” Features are trivial CRUD with no edge cases

Next Steps


Key Principle: RIPP is for teams who value clarity, durability, and rigor. If that’s you, RIPP will help. If not, it won’t.