Have you handed a whole task to a coding agent like Claude Code, Codex, Cursor or Copilot's coding agent and reviewed its pull request?

Coding agents read your repo, make changes across files and run the tests on their own. You give them a ticket-sized task and review the result like a colleague's PR.

How to automate it

How to automate “write and update Terraform, Kubernetes and pipeline config”

Here are 2 ways to spend less time on this, best first. Each comes with steps you can follow today and, for AI fixes, a prompt to copy.

60 min

typically, a few times a week

50%

of the time can be automated

Easy

to set up

Fix 1 of 2

AIBest fix

Hand well-scoped tasks to a coding agent and review its pull request

Coding agents like Claude Code, OpenAI Codex, Cursor's agent and GitHub Copilot's coding agent can read the repo, make multi-file changes and run the tests. They do best on clear, bounded tasks you can review quickly.

Typically saves about 30% of the time30 min to set up

1Check which coding agent your company approves and that it has access to the repo.
2Add a short instructions file to the repo (CLAUDE.md, AGENTS.md or .cursor/rules) with how to build, test and the conventions to follow.
3Give it a ticket-sized task with acceptance criteria, using the prompt below.
4Let it run the tests; read the diff as carefully as a colleague's PR.
5Start with tests, refactors, small features and config changes before larger work.

Prompt to copy

Task: [WHAT TO BUILD OR CHANGE]. Context: [RELEVANT FILES OR MODULES]. Acceptance criteria: [LIST]. Constraints: follow the existing patterns in [EXAMPLE FILE], do not add new dependencies, do not change public APIs unless needed. First read the relevant code and give me a short plan. After I approve, make the change, add or update tests, run the test suite and linter, and summarize what you changed and anything you were unsure about.

Tools: Claude Code, OpenAI Codex, Cursor, GitHub Copilot agent mode or Devin Desktop (ex-Windsurf)

Fix 2 of 2

Automation

Add an AI reviewer to every pull request

AI review bots post a summary and line comments within minutes of a PR opening, so human reviewers spend their time on design and logic instead of typos and obvious bugs.

Typically saves about 25% of the time30 min to set up

1Pick one: GitHub Copilot code review, CodeRabbit, Cursor Bugbot, Graphite Diamond, or the Claude Code GitHub Action.
2Install it on one repo first and set it to comment, not block.
3Add a short review guide (your conventions, what to ignore) to its config.
4After two weeks, check how many comments were useful and tune or roll out wider.

Tools: GitHub Copilot code review · CodeRabbit · Cursor Bugbot · Graphite · Claude Code GitHub Action

Quick wins

Have you tried…

Have you handed a whole task to a coding agent like Claude Code, Codex, Cursor or Copilot's coding agent and reviewed its pull request?: Coding agents read your repo, make changes across files and run the tests on their own. You give them a ticket-sized task and review the result like a colleague's PR.

Who does this task

Roles in our library that list this as one of their common tasks. Each guide covers the rest of that role’s week.

DevOps / Site reliability engineer

HourLeak · the 8-minute work audit

How many hours does this cost you?

The free 8-minute check works out where your week goes and gives you your top fixes. The team scan does the same for everyone and adds it up, so you know which leaks to fix first.

Take the free check Scan my team, $49

Answers are anonymous. Leaders only see team totals.