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CodingIntermediateSoftware

Automated Checks for Quality Assurance

Developed eight automated checks to enhance quality control and prevent unnoticed errors.

Time saved
0h / week
Setup time
Not stated
Running cost
Not stated
Cost range
Under $25/mo

The problem it solves

As projects grow in complexity, it becomes increasingly difficult to manually identify potential issues. Automated checks are essential for maintaining quality and catching errors that may go unnoticed.

How it flows
  1. Identify issues
  2. Develop checks
  3. Implement automation
  4. Test checks
  5. Monitor results

Step-by-step setup

  1. Identify Common Issues

    Review past projects to pinpoint recurring problems that could benefit from automation.

  2. Develop Automated Checks

    Create a series of automated checks designed to catch the identified issues effectively.

  3. Implement and Test

    Integrate the automated checks into the workflow and conduct thorough testing to ensure they function as intended.

Coding · Advanced
  1. Write migration plan
  2. Agent edits in batches
  3. Tests per batch

Ship a 40-file refactor with a coding agent

Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.

Claude Code · GitHub Copilot
Coding · Intermediate
  1. PR opened
  2. Copilot inline review
  3. Claude risk summary

Automated first-pass review on every pull request

Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.

GitHub Copilot · Claude · Slack
Coding · Advanced
  1. Run coverage
  2. Pick 3 riskiest files
  3. Write + run tests

Generate missing unit tests for untested modules

Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.

Claude Code · GitHub Copilot · Slack