Tidal Lock

Detects unhealthy coupling between components — when two modules, services, or layers have become gravitationally locked, unable to change independently. Like the Moon always showing Earth the same face, tidally-locked code can only rotate together. This skill maps coupling health across the entire system and identifies where independence has been silently surrendered.

"In orbital mechanics, tidal locking occurs when a body's orbital period matches its rotational period — it can only face one direction. In software, tidal locking occurs when two components can only change together. They've lost the ability to face any other direction."

What It Does

Every software architecture diagram shows clean boxes with clean arrows. Reality is messier. Over time, components develop gravitational relationships — shared assumptions, implicit contracts, synchronized change requirements — that make them unable to evolve independently.

Tidal Lock detects these gravitational bonds before they become permanent.

The Physics of Code Coupling

In astrophysics, tidal locking is caused by gravitational gradient forces. In codebases, it's caused by coupling gradient forces:

Physical Force	Code Equivalent	Example
Gravitational pull	Shared data structures	Two services reading the same DB table
Tidal friction	Synchronized deploys	Service A fails if Service B isn't deployed first
Orbital resonance	Matching change frequency	Every commit to module X requires a commit to module Y
Roche limit	Merger threat	Components so coupled they should just be one module
Lagrange points	Stable mediators	A third component that exists only to translate between two locked ones

The Five Degrees of Lock

Degree 0: Independent Orbit

Components are genuinely independent. Changing one has zero effect on the other. This is the ideal for components that shouldn't be related.

Degree 1: Gravitational Awareness

Components know about each other through well-defined interfaces. Changes to internals are isolated. Changes to the interface require coordination. This is healthy coupling.

Degree 2: Orbital Resonance

Components change at correlated frequencies. Not every change to A requires a change to B, but many do. The interface between them has become too wide or too leaky.

text

SYMPTOMS:
├── PRs frequently touch both components
├── "Don't forget to update the other side" appears in code reviews
├── Integration tests between them break more than unit tests
└── Deploy ordering matters sometimes

Degree 3: Synchronous Rotation

Components MUST change together. Every modification to A requires a corresponding modification to B. They share data structures, timing assumptions, or implicit contracts that make independent evolution impossible.

text

SYMPTOMS:
├── Cannot deploy A without deploying B
├── Changing A's internals breaks B's tests
├── Shared mutable state (database tables, global configs)
├── Copy-pasted type definitions kept "in sync" manually
└── Integration bugs outnumber all other bug types

Degree 4: Tidal Lock (Critical)

Components have lost their individual identity. They are one system pretending to be two. The boundary between them is a fiction maintained by the directory structure but violated by every data flow.

text

SYMPTOMS:
├── Circular dependencies (A imports B, B imports A)
├── Shared internal state (not just shared interfaces)
├── Cannot reason about one without fully understanding the other
├── "We should really merge these" has been said multiple times
└── New developers can't tell where one ends and the other begins

Degree 5: Roche Limit (Structural Failure)

The coupling is so severe that the components are actively tearing each other apart. Bugs in one appear as symptoms in the other. Changes cascade unpredictably. The architecture is in structural failure.

Detection Methodology

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Phase 1: GRAVITATIONAL SURVEY
├── Map all explicit dependencies (imports, API calls, DB access)
├── Map all implicit dependencies (shared configs, env vars, timing)
├── Map change correlation (git co-change analysis)
├── Map deploy dependencies (must X deploy before/after Y?)
└── Map failure correlation (when X fails, does Y fail too?)

Phase 2: ORBITAL ANALYSIS
├── For each component pair, calculate:
│   ├── Change Coupling Score: How often do they change together?
│   ├── Interface Width: How much surface area connects them?
│   ├── Data Gravity: How much shared state exists?
│   ├── Temporal Coupling: Do they depend on ordering?
│   └── Failure Coupling: Do they fail together?
├── Composite score → Degree of Lock (0-5)
└── Trend analysis: Is coupling increasing or decreasing?

Phase 3: LOCK CARTOGRAPHY
├── Generate coupling map of the full system
├── Identify lock clusters (groups of mutually locked components)
├── Identify lock chains (A→B→C cascading coupling)
├── Calculate system-wide coupling health score
└── Flag components approaching the Roche limit

Phase 4: ORBITAL MECHANICS REPORT
├── For each locked pair, explain:
│   ├── What force is causing the lock
│   ├── How long the lock has existed (git history analysis)
│   ├── Whether the lock is increasing or stable
│   └── Decoupling strategy (if decoupling is warranted)
├── System-wide coupling topology
└── Priority ranking: which locks to break first

Decoupling Strategies by Force Type

Coupling Force	Decoupling Strategy
Shared DB tables	Introduce owned views or dedicated read models per service
Shared data types	Define contracts at the boundary, allow internal divergence
Deploy ordering	Add graceful degradation and version negotiation
Change correlation	Extract the shared concern into its own module
Circular imports	Introduce an interface/protocol layer; invert one dependency
Shared mutable state	Event-driven communication; each component owns its state
Timing assumptions	Explicit synchronization; remove implicit ordering

Output Format

text

╔══════════════════════════════════════════════════════════════╗
║                    TIDAL LOCK ANALYSIS                      ║
║            System Coupling Health: 64/100                   ║
╠══════════════════════════════════════════════════════════════╣
║                                                              ║
║  LOCK SEVERITY DISTRIBUTION:                                 ║
║  ├── Degree 0 (Independent): 12 pairs  ████████████  ✓      ║
║  ├── Degree 1 (Aware):        8 pairs  ████████      ✓      ║
║  ├── Degree 2 (Resonant):     5 pairs  █████         ⚠      ║
║  ├── Degree 3 (Synchronous):  2 pairs  ██            ⚠⚠     ║
║  ├── Degree 4 (Locked):       1 pair   █             🔴     ║
║  └── Degree 5 (Roche):        0 pairs                ✓      ║
║                                                              ║
║  CRITICAL LOCK:                                              ║
║  ┌─────────────────────────────────────────────────────┐     ║
║  │  UserService ←→ BillingService                      │     ║
║  │  Degree: 4 (Tidal Lock)                             │     ║
║  │  Force: Shared DB (users table), circular imports   │     ║
║  │  Duration: 14 months (increasing)                   │     ║
║  │  Co-change rate: 89% of commits touch both          │     ║
║  │  Strategy: Extract UserProfile as shared contract;  │     ║
║  │            give Billing its own customer table       │     ║
║  └─────────────────────────────────────────────────────┘     ║
║                                                              ║
║  LOCK CHAINS:                                                ║
║  Auth → Users → Billing → Invoicing (4-component chain)     ║
║  Any change to Auth cascades through 3 downstream services   ║
║                                                              ║
║  TREND: System coupling increased 12% in last quarter        ║
╚══════════════════════════════════════════════════════════════╝

When to Invoke

• Before splitting a monolith into services (find out what's actually independent)
• After microservice adoption (verify you didn't build a distributed monolith)
• When deploys keep breaking unrelated services
• When "simple changes" take weeks because of cascading modifications
• During architecture reviews to assess modularity health

Why It Matters

The promise of modularity is independent evolution. When components become tidally locked, that promise is broken — you have the overhead of multiple components with the rigidity of a monolith. The worst of both worlds.

Tidal Lock shows you where independence has been surrendered, so you can decide: decouple them, or honestly merge them. Either is better than the fiction of modularity with the reality of lock.

Zero external dependencies. Zero API calls. Pure structural and historical analysis.