# Improve Codebase Architecture

> Review and reshape the codebase into deeper, clearer modules with well-defined boundaries to make testing, reasoning, and AI-assisted changes easier, highlighting candidates for consolidation and simplification.

- Skill: `spicy-samson/improve-codebase-architecture` (Agent Skill)
- Install (CLI): `npx skillmds@latest add spicy-samson/improve-codebase-architecture`
- Raw SKILL.md: https://api.skillmd.com/api/skills/spicy-samson/improve-codebase-architecture/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: spicy-samson (https://skillmd.com/u/spicy-samson)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/spicy-samson/improve-codebase-architecture

---


# Improve Codebase Architecture

## Intent

Use this skill periodically (for example, weekly or after a burst of changes) to improve the **structural quality** of the codebase.  

The goal is to make the code more “agent-friendly”: clear module boundaries, deeper units with simple interfaces, and less scattering of logic across many tiny files.

## What to Look For

While exploring the repo, look for:

1. **Scattered concepts**
   - Understanding one concept (e.g., “orders”, “search”, “auth”) requires jumping between many small files.  
   - Logic is split into thin wrappers and helpers that obscure the main flow.

2. **Shallow modules**
   - Modules that do very little beyond delegating, with real complexity spread out elsewhere.  
   - Pure functions extracted solely for testability while the true behavior is in wiring code.

3. **Tight coupling and integration risk**
   - Modules that know too much about each other’s internals.  
   - Cross-cutting concerns implemented ad-hoc in many places instead of via clear layers or utilities.

## Workflow

1. **Choose a target area**
   - Pick a feature, domain, or subsystem experiencing pain: hard to change, buggy, or confusing.  
   - Confirm with the user if they have specific hotspots they care about.

2. **Map current structure**
   - Identify the main entry points (routes, handlers, top-level components, jobs).  
   - Trace how data and control flow through modules.  
   - Note files or functions that are frequently touched together.

3. **Identify deepening opportunities**
   - Propose ways to:  
     - Merge shallow wrappers into a deeper module that owns a concept end-to-end.  
     - Introduce a clear service, use-case, or domain module that encapsulates messy flows.  
     - Extract cross-cutting concerns (logging, validation, auth) into well-defined layers.

4. **Propose refactor plans**
   - For each opportunity, outline a small, testable refactor:  
     - Current situation (1–2 sentences).  
     - Proposed structure (e.g., “introduce `OrderService` that owns X/Y/Z”).  
     - Expected benefits (testability, clarity, fewer hops).  
   - Keep each refactor small enough to fit in a single PR or issue where possible.

5. **Connect to testing and TDD**
   - For each proposed deep module, describe how it would be tested (unit, integration, or end-to-end).  
   - Suggest where a `tdd`-style workflow would help solidify new boundaries.

## Output Format

When using this skill, summarize findings as:

```markdown
## Architecture Findings
- [Finding 1: short title]
  - Symptoms:
  - Proposed change:
  - Benefits:

- [Finding 2]
  - Symptoms:
  - Proposed change:
  - Benefits:
```

You may optionally suggest related issues or PRs, or hand off to `prd-to-issues` if the refactor is large.

## Style Guidelines

- Focus on **clarity and leverage**: a few well-chosen deep modules can simplify many features.  
- Avoid massive, risky rewrites; prefer incremental, well-bounded improvements.  
- Always ground recommendations in actual code you have inspected, not generic advice.  
- Call out quick wins separately from larger, multi-step refactors.