SayPro – 100 Code Review Checkpoints

SayPro List 100 code review checkpoints for SayPro’s development team from SayPro Monthly February SCMR-17 SayPro Monthly IT Services: Software development, cybersecurity, and IT support by SayPro Online Marketplace Office under SayPro Marketing Royalty

✅ Section 1: General Code Quality (1–20)

1. Code is readable and consistently formatted.
2. No commented-out code left in the final version.
3. Follows SayPro coding standards and naming conventions.
4. Avoids deep nesting (over 3 levels).
5. Uses meaningful variable, function, and class names.
6. Reusable logic is extracted into functions or services.
7. No redundant or duplicated code blocks.
8. Proper file and folder organization per SayPro’s architecture.
9. No magic numbers; all constants are clearly named.
10. Code changes are scoped to a single responsibility/task.
11. Removes obsolete files, functions, or assets.
12. Uses enums or constants for repeated values.
13. Uses default values in functions and destructuring.
14. Avoids overengineering or premature abstraction.
15. Avoids unnecessary libraries or dependencies.
16. Avoids large functions—split into smaller units when needed.
17. File sizes are within manageable limits (e.g., < 500 LOC per file).
18. Comments are used only where necessary and explain why, not what.
19. Checks for spelling errors in code, comments, and docs.
20. Commit messages are clear, follow SayPro’s Git standards, and reference relevant tasks or tickets.

🔐 Section 2: Security (21–40)

21. Input data is validated and sanitized.
22. No direct SQL queries without prepared statements or ORM.
23. Passwords or sensitive data are not logged.
24. Secrets or API keys are not hardcoded.
25. All external API calls are authenticated securely.
26. Files uploaded are checked for size, type, and content.
27. Session and cookie handling is secure (HTTP-only, secure flag).
28. CORS is configured correctly for exposed endpoints.
29. Proper escaping is used to prevent XSS (e.g., in HTML rendering).
30. Access control checks are enforced at both UI and API levels.
31. Role-based permission logic is implemented correctly.
32. Dependencies are verified for vulnerabilities (Snyk, npm audit).
33. No excessive exposure of internal fields in APIs.
34. JSON Web Tokens (JWTs) are signed, validated, and expire correctly.
35. Prevents replay attacks or predictable token generation.
36. Ensures logout functionality properly invalidates sessions.
37. Uses rate limiting on endpoints prone to abuse.
38. Avoids displaying stack traces or system errors to users.
39. Upload folders and user files are protected from public access.
40. Uses HTTPS for all external communications and link references.

⚙️ Section 3: Functionality & Business Logic (41–60)

41. All features meet acceptance criteria and business requirements.
42. Logic reflects latest specifications or change requests.
43. Edge cases and exceptions are handled gracefully.
44. System behaves correctly under different user roles.
45. Proper fallback or default logic is used.
46. Operations are idempotent where applicable (especially APIs).
47. Business rules are separated from controller logic.
48. State transitions (for statuses, orders, etc.) are accurate and auditable.
49. UI feedback reflects true backend outcomes (e.g., success/failure).
50. APIs return meaningful status codes and structured responses.
51. Transactions or multi-step operations use rollback handling.
52. Asynchronous operations are monitored and managed correctly.
53. UI is disabled while async operations are pending.
54. Conflicting or invalid states are impossible in normal use.
55. Default behavior for empty data or broken content is user-friendly.
56. Sorting, filtering, and searching features are consistent.
57. Timezone, date, and currency values are localized.
58. Admin vs. user logic is well-isolated.
59. UI and backend validations are synchronized.
60. Feature toggles are used for unreleased/incomplete features.

🧪 Section 4: Testing (61–80)

61. Includes unit tests for core logic.
62. Includes integration tests for data flows and dependencies.
63. Includes end-to-end tests for critical user flows.
64. All new features are covered by tests.
65. Test coverage reports meet the SayPro standard (e.g., >85%).
66. No failing or skipped tests committed.
67. Mocks are used for external services in tests.
68. Test data is realistic and clean.
69. Edge cases are included in test scenarios.
70. Automation scripts are reliable and repeatable.
71. No testing logic is committed in production code.
72. Tests are named clearly and describe expected behavior.
73. Setup and teardown scripts are optimized and reusable.
74. UI components are snapshot tested if applicable.
75. No flaky tests exist in the codebase.
76. Large payloads are tested for performance and validation.
77. Asynchronous operations are tested for timeout and retry logic.
78. Test failures are logged meaningfully.
79. Coverage for error scenarios is documented and enforced.
80. CI/CD test results are clean with no warnings or timeouts.

🚀 Section 5: Performance & Optimization (81–100)

81. Unused or redundant assets are removed.
82. Lazy loading is used for heavy components or assets.
83. Database queries are optimized and indexed.
84. Avoids N+1 query problems.
85. Pagination is implemented for large datasets.
86. Data transformations are done server-side when possible.
87. Caching mechanisms are applied (Redis, browser cache, etc.).
88. Images are optimized and served in efficient formats (e.g., WebP).
89. CSS and JS files are minified and bundled.
90. Infinite scroll or virtual rendering is used where needed.
91. Memory usage and CPU-intensive logic are profiled.
92. Long-running processes are done in background workers.
93. Frontend avoids blocking the main thread.
94. Debouncing and throttling are used for user input events.
95. Component re-rendering is minimized.
96. API payloads are minimized and compressed.
97. Large file uploads are chunked.
98. Use of CDNs for static asset delivery.
99. Application load time is within SayPro’s acceptable SLA.
100. Lighthouse or GTMetrix audits show green metrics for performance and accessibility.