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We’re back in the IDE for a focused naming and readability audit designed to make your code easier for humans — and LLMs — to read, debug, and maintain. This walkthrough shows the automated audit results for naming conventions, naming consistency, code readability, and function signatures, plus concrete remediation snippets and priorities.
A presentation slide titled "Naming Conventions & Readability." A dark curved panel on the right displays the blue word "Demo," with a small "© Copyright KodeKloud" in the bottom-left.
This article includes:
  • The starting environment and review prompt used to generate the audit.
  • The consolidated audit with prioritized findings, exact examples, and minimal drop-in remediation snippets.
  • A short naming guide and quick action list to implement improvements.

Starting environment

The audit began from the following CLI session in the repository root:
The review prompt given to the tool was explicit about what to check:
The prompt focuses on concrete, reproducible fixes. When implementing changes, prefer small, testable commits (constants module + named handlers first) to get immediate value and easier review.
The tool executed repo-wide searches to locate occurrences and patterns used to generate the audit:

Executive summary

This audit reviewed the Express Login Demo codebase for naming conventions, consistency, readability, and function signatures. Overall the project exhibits good practices (consistent camelCase, descriptive identifiers). Highest-impact improvements are: centralizing magic numbers and constants, switching critical anonymous route handlers to named functions, and consolidating validation logic. Aggregate score: 8.0 / 10

1. NAMING CONVENTIONS (Score: 8/10)

1.1 Variable Naming — EXCELLENT (Importance: 9/10)

Findings:
  • Variables use descriptive camelCase consistently and map well to domain concepts.
Representative examples:
Remediation: none required for variables—continue the pattern.

1.2 Function Naming — GOOD (Importance: 8/10)

Findings:
  • Functions are action-oriented. A number of anonymous inline handlers (arrow functions) exist; converting key handlers to named functions improves stack traces and makes unit testing easier.
Example (anonymous handler):
Suggested change (named handler):
Remediation snippet (routes/auth.js — convert anonymous async handler to named function):
Rationale: Named functions show clearer stack traces, facilitate targeted logging, and simplify test injection.

2. NAMING CONSISTENCY (Score: 9/10)

Findings:
  • Code uses camelCase consistently for JS variables and functions.
  • Database columns use snake_case (typical for PostgreSQL). This separation is acceptable.
  • Domain vocabulary for authentication/authorization is consistent.
Recommendation:
  • Add a short CONTRIBUTING.md or STYLE.md stating: JS -> camelCase, constants -> UPPER_SNAKE_CASE, DB -> snake_case. This aids new contributors and automated checks.

3. CODE READABILITY (Score: 7/10)

3.1 Self-Documenting Code — GOOD (Importance: 9/10)

Findings:
  • Naming and structure make intent clear and reduce need for excessive comments.
  • Destructuring and async/await are used consistently.
Example:

3.2 Magic Numbers & Strings — NEEDS IMPROVEMENT (Importance: 8/10)

Findings:
  • Literal values such as default port numbers, HTTP status codes, and validation thresholds are repeated inline.
Action: centralize common values into a constants/config module to improve discoverability and simplify updates. Remediation snippet (create constants module):
Usage example:

3.3 Boolean Expressions & Ternaries — EXCELLENT (Importance: 6/10)

Findings:
  • Complex conditionals are rare and generally readable. When boolean expressions grow, prefer extracting them into well-named predicate functions.
Pattern:

4. FUNCTION SIGNATURES (Score: 8/10)

4.1 Parameter Count — EXCELLENT (Importance: 8/10)

Findings:
  • Most functions have small parameter lists (≤ 3). Express middleware signatures (req, res, next) are followed.
Example:

4.2 Boolean Parameters — AVOID WHEN POSSIBLE (Importance: 7/10)

Findings:
  • Boolean flags in function signatures are uncommon, which is good. For clarity, prefer options objects or separate functions.
Remediation snippet:

4.3 Return Type Clarity — GOOD (Importance: 7/10)

Findings:
  • Routes consistently return JSON. Adding small JSDoc annotations or a TypeScript layer improves discoverability of expected shapes.
Recommendation:
  • Add short JSDoc comments for controller functions or migrate key modules to TypeScript for stronger type guarantees.

5. NAMING CONVENTION GUIDE (consolidated)

Keep this short guide in repo root as STYLE.md or CONTRIBUTING.md for onboarding and tooling alignment.

6. PRIORITY REMEDIATION RECOMMENDATIONS

Each recommended change is designed to be minimal and drop-in.

7. OVERALL ASSESSMENT

Strengths
  • Strong naming consistency and many self-documenting identifiers.
  • Clean function boundaries and sensible use of async/await.
  • Good separation between DB field naming and JS naming.
Areas for improvement
  • Centralize magic numbers and HTTP status codes into a config file.
  • Replace critical anonymous route handlers with named functions for improved debugging.
  • Consolidate validation rules to reduce duplicated checks and to make schemas reusable.
Final score: 8.0 / 10
This audit is intended as a practical checklist — start with the highest-impact, low-effort changes: add a constants/config module and rename key anonymous handlers. These give immediate maintainability and debugging benefits.

If you’d like, I can:
  • Generate a starter config/constants.js and apply a single automated patch to replace the most common inline values.
  • Produce a codemod to convert the top N anonymous route handlers to named functions.
  • Run a follow-up audit focused on test coverage and quality gaps for the same repository.
Thanks for following this lesson — say which follow-up you’d like next (constants patch, handler renames, validation consolidation, or tests audit).

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