I'm building a code review process with automated checks

Great idea. A strong code review process with automated checks usually works best when you combine:

1. Clear review standards
2. Automated quality gates
3. Fast feedback
4. A lightweight approval workflow

A practical setup could look like this:

1) Define what reviewers should look for

Create a checklist for humans, such as:

• Correctness: does the code do what it should?
• Readability: is it easy to understand?
• Maintainability: is it structured well?
• Security: any obvious vulnerabilities?
• Performance: any avoidable inefficiencies?
• Tests: are important cases covered?
• API/design consistency: does it fit the existing codebase?

2) Add automated checks before review

Common automated checks:

• Linting / formatting: enforce style automatically
• Unit/integration tests: ensure functionality
• Static analysis: catch bugs, type issues, code smells
• Security scanning: detect secrets, vulnerable dependencies, unsafe patterns
• Coverage checks: prevent large untested changes
• Build checks: confirm the project compiles/packages successfully

These should run in CI on every pull request.

3) Make checks required to merge

Typical merge rules:

• CI must pass
• At least 1–2 human approvals
• No unresolved review comments
• No secrets or critical security findings
• No failing tests or lint errors

4) Keep reviews focused

To avoid slow reviews:

• Break large changes into smaller PRs
• Use templates for PR descriptions
• Ask authors to explain the “why” and “how to test”
• Auto-assign reviewers based on ownership
• Prefer automation for style and repeatable checks, humans for design and edge cases

5) Suggested workflow

1. Developer opens PR
2. CI runs lint/tests/security checks
3. Bot posts results and summary
4. Reviewer checks logic/design
5. Author addresses comments
6. Checks rerun automatically
7. Merge only when all required conditions are satisfied

6) Good automation candidates

Automate anything that is:

• deterministic
• repeatable
• rule-based
• expensive for humans to verify

Examples:

• formatting
• import order
• type checks
• dependency vulnerability scans
• secret detection
• test coverage thresholds

7) Things to watch out for

• Too many required checks can block delivery
• Flaky tests undermine trust
• Slow pipelines reduce review speed
• Over-reliance on automation can miss architectural issues
• Reviewers still need guidance on what “good” looks like

If you want, I can help you design a specific PR checklist + CI gate policy, or draft a GitHub/GitLab review workflow for your team.