AI CODE REVIEW
Aug 10, 2025

The Best Way to Do Code Review on Azure DevOps (With Pipelines, Policies & AI)

Amartya | CodeAnt AI Code Review Platform

Amartya Jha

Founder & CEO, CodeAnt AI

The Best Way to Do Code Review on Azure DevOps (With Pipelines, Policies & AI)
The Best Way to Do Code Review on Azure DevOps (With Pipelines, Policies & AI)
The Best Way to Do Code Review on Azure DevOps (With Pipelines, Policies & AI)
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Most teams treat code reviews like a checklist.

Push code. Open PR. Wait for someone to click Approve. Done.

But that’s not what great teams do.

Great teams use reviews to share context, spot risks early, and keep code maintainable - not just mergeable.

They treat PRs as places for clarity, not chaos.

And if you’re on Azure DevOps, you already have the tools to make that happen.

You’ve got pull requests that link to tasks, pipelines that test your code before anyone even sees it, and policies that enforce real standards.

This isn’t just “how to open a PR”. It’s a complete, hands-on guide to doing code reviews that are fast, focused, and actually helpful - built for how Azure DevOps works today.

What Makes Azure DevOps Code Reviews Unique

Azure DevOps isn’t just Git with a Microsoft wrapper.

It’s one of the most structured, policy-driven review platforms out there - and that’s a good thing.

Azure DevOps code review platform

Here’s what makes it stand out:

Deep Integration with Boards, Pipelines, and Policies

Every PR can be linked to one or more work items in Azure Boards - so reviewers aren’t guessing why something changed.

Pipelines run automatically, giving a full pass/fail signal before anyone reviews manually.

Real Enforcement with Branch Policies

You can require:

  • A minimum number of reviewers

  • Linked work items (no PR without a purpose)

  • Successful builds before merge

  • Specific people to review changes in certain files (like /security/ or /infra/)

This turns “optional” review hygiene into something your team can count on.

Extensible PR Statuses

External tools - like security scanners or custom CI checks - can set status checks on PRs.

If they fail, the PR won’t merge.

This makes things like SAST, code coverage, or license compliance enforceable - not just suggestible.

Built-in Merge Strategies and Automation

Azure DevOps supports:

  • Auto-complete (merge when ready)

  • Squash merges or full-history merges

  • Delete source branch after merge

  • And it can even close linked work items automatically

It Plays Well With Your Whole Stack

From REST APIs to dashboard widgets to integration with Microsoft Teams or Excel (yes, really), Azure DevOps is extensible if you want it to be - and easy to use if you don’t.

Most tools give you a way to comment on code.
Azure DevOps gives you the structure to do it at scale - consistently, securely, and with context.

Before You Open a PR: Self-Review Comes First

A Pull Request (PR) is how you ask your team to review and merge code into a shared branch - usually main or dev.

In GitHub, you open a PR.

In GitLab, it’s called a Merge Request.

In Azure DevOps, it’s a PR inside Azure Repos, tightly connected to your work items, pipelines, and branch policies.

But no matter what platform you're on, the moment you open a PR, you're asking for time and attention.

So, before anyone else looks at your code, you should too.

If you wouldn’t merge your own PR without hesitation, it’s not ready.

Self-Review Checklist

  • Reread every change: Don’t skim. Pretend you’re reviewing someone else’s code. Spot awkward logic, confusing names, or complexity before anyone else has to.

  • Run tests locally: Don’t rely only on CI. Make sure it works in your environment first.

  • Refactor noisy diffs: Did you change formatting, reorder imports, or leave commented-out code? Clean it up so reviewers focus on what matters.

  • Clean up debug logs and TODOs: Logging console.log(‘here’) is not a debugging strategy. And TODOs without action are just landmines.

  • Keep it focused: One feature or one fix per PR. No bundling bugfixes, refactors, and unrelated tweaks together.

  • Link your work items: In Azure DevOps, this means adding the relevant task or story from Boards so reviewers understand the why behind your change.

Want to Try This Yourself?

When we wrote this guide, we wanted to do what we did in our GitLab and Bitbucket blogs:

Set up a public demo repo where you could fork the project, raise a PR, and follow along step by step.

So we tried that.

Turns out…Azure DevOps doesn’t really want you doing that anymore.

It doesn't support public forking, and while public projects technically exist, they’re hidden behind limited settings. Even Microsoft now nudges you toward GitHub if you want open collaboration.

No worries, we thought - we’ll just have readers email us and we’ll manually add them as contributors.

That would’ve worked…until we eventually hit user #6.

Azure DevOps only allows the first 5 contributors to be free per organization. After that, it’s $6 per user per month - even if they’re just exploring.

So here's the best and most sustainable workaround:

Try This in Your Own Azure DevOps Project

  • Create a free Azure DevOps account

  • Set up a private repo under your own organization

  • Follow along with this guide, step by step:

    • Create a feature branch

    • Make a small change

    • Open a PR

    • Tag yourself as a reviewer

    • Test out comments, voting, merge strategies, and auto-complete

It’s free, fast, and gives you a real feel for how Azure DevOps PRs actually work.

No access requests, no waiting, no surprises. Just your own sandbox and this guide as your playbook.

Self-review isn’t busywork - it’s what earns trust.

The better your PR is when it’s opened, the faster and more useful the review will be.

Create a High-Quality PR in Azure DevOps (Step-by-Step)

The moment you open a PR, you’re not just asking for code to be merged - you’re asking for your team’s time, attention, and trust.

That means every part of your PR - from the title to the diff - should make things easier for your reviewers.

Clean, clear PRs get reviewed faster and better. Sloppy ones sit ignored.

Here’s how to open a pull request the right way in Azure DevOps - and how to make it review-ready from line 1.

Step 1: Make Your Changes - But in a Branch

Once you're inside your project (your own or someone else's):

  • Click Repos from the left sidebar

Azure DevOps interface showing how to create a quality pull request from a feature branch.
  • Once inside, more options will appear under “Repos”

Azure DevOps Repos menu showing options available for managing branches and pull requests.

From here, you can:

  • Clone the repo and edit locally

  • Use the in-browser editor

  • Work directly in the web UI

Best Practice: Always create a new branch - don’t push to main.

Whether you're fixing a typo or building a feature, separating your work makes the diff cleaner and the merge safer.

Step 2: Commit Your Changes

Once your changes are committed, Azure DevOps might suggest:

“You updated branch-name X minutes ago. Create a pull request?”

Azure DevOps interface showing branch update and option to open a new pull request

If it does, great - click it.

If not:

  • Head to Pull Requests in the sidebar

  • Click the “New Pull Request” button on the top right

Azure DevOps sidebar with Pull Requests section and button to create a new pull request

Step 3: Choose the Right Branches

At the top of the PR form:

  • Select your source branch (the one with your changes)

  • Choose your target branch (usually main, dev, or a release branch)

Azure DevOps pull request form showing source branch selection and target branch dropdown

Best Practice: Double-check this - especially if you forked the repo.

If you're in a fork, you’ll also need to select source/destination repos.
Targeting the wrong branch is how last-minute bugs sneak into prod.

Step 4: Title and Description - Say What Matters

This is where your PR becomes readable. Don’t waste it.

  • Title: Clear, present-tense, and concise

e.g. Fix login redirect bug on session timeout

  • Description: Explain the why, not just the what

What problem does this solve? Any tradeoffs? Edge cases?

Azure offers a button to auto-add commit messages - useful, but don’t let that replace actual context.

Pro Tip: Use the little buttons below the description box.

You can add:

  • Mentions (@username)

  • Linked work items (#123) (more on this later)

  • File attachments

  • Checklists

  • Code formatting (bold/italic/code format text, insert links)

Azure DevOps pull request form showing title and description fields with commit message options

Always try to include relevant images and file attachments.

Here’s a sample PR in markdown format you can use for your own PR:

## What's Changed
<!-- Brief summary of code changes -->

## Why It Matters
<!-- Explain the problem this PR solves and why it's important -->

## Work Items
- [AB#0000](https://dev.azure.com/your-org/project/_workitems/edit/0000) <!-- Link related Azure Boards work items -->



## Images & Files
- <!-- Include any relevant images or files -->


## PR Checklist
- [ ] Code is self-reviewed
- [ ] Tests updated or added
- [ ] No console.logs or TODOs
- [ ] Work item is linked
- [ ] Reviewers assigned

## Review Notes
<!-- Anything reviewers should pay special attention to -->

## Test Coverage
<!-- Mention if new tests were written or existing ones cover the change -->

## Reviewer Suggestions
<!-- Tag specific people, or note if this PR needs expertise in a certain area

Step 5: Assign the Right Reviewers

Below the description, you’ll see:

  • Reviewers: Add relevant people - not just whoever’s online

  • Add Required reviewers: If your repo allows it, assign them explicitly

  • Work items to link: Connect your Azure Boards task or bugs (we will discuss work items in proper detail later in the blog)

  • Tags: Optional - but helpful for filtering or categorizing. Use short and descriptive tags.

Azure DevOps pull request form showing reviewer assignment and linked work items section.

Best Practice: Assign teammates who know the code area or can spot issues you might miss.
This isn’t about hierarchy - it’s about context.

Step 6: Draft or Final?

If the code isn’t quite ready, but you want early feedback - mark it as a draft PR.

That tells reviewers: “Don’t merge this yet, but feel free to comment”.

Use it when:

  • CI is still running

  • You’re waiting on another branch

  • You want help naming or refactoring

Step 7: Pre-Review the Diff (Yes, Yourself)

Before you hit "Create":

  • Click the Files tab to view all changes line-by-line

Azure DevOps pull request Files tab showing line-by-line code changes before creation.
  • Switch to Commits to see the full commit history in this PR

Best Practice: Read your own diff before asking someone else to.
This helps you catch stray changes, missing test coverage, or noisy commits.

Step 8: Create the PR (And Make It Count)

When you’re confident:

  • Click “Create” or “Create as draft”

  • Once open, you can:

    • Add follow-up comments

    • Edit reviewers, linked work items, or tags

    • Track the status of builds, votes, and tasks

Azure DevOps pull request creation screen with options for draft, reviewers, and work items.

Here, we have added a required reviewer after opening the pull request. We can see how Azure tracks PR activity and changes in it:

Azure DevOps pull request showing required reviewer added and activity tracked in PR history.

A great PR respects everyone’s time.

It makes the changes understandable, the purpose clear, and the review focused.

Reviewing a PR: How to Actually Help (Not Just Approve & Bounce)

The dev wrote the code. They tested it, pushed it, and wrote the PR.

Now they’re waiting on you.

Your job isn’t to nitpick quotes or demand a semicolon.

It’s to help them ship something safer, clearer, and stronger - without dragging it out.

Let’s walk through how to do that well - and how Azure DevOps supports you when you care.

First: Check Why This PR Exists

  • Head to your project homepage
    You’ll see how many PRs are open in ‘Project stats’

Azure DevOps pull request review screen showing project stats and active PRs awaiting feedback.
  • Click Repo → Pull Requests in the sidebar

  • Filter by Mine, Active, Completed, or Abandoned

If you see a small “Required” tag, that means your approval is needed.

Azure DevOps PR list highlighting required approvals with status filters applied.

Don’t Open Files Yet. Read the Story First.

Every PR opens to the Overview tab.

This is where you get the context - the “why”, not just the “what”.

  • Read the title and description

  • Click the linked work item to understand what it’s trying to fix (we have explained work items in this section: Advanced Code Review: Automate What Humans Shouldn’t Be Doing)

  • Check the tags, attached screenshots, logs, whatever’s there

Azure DevOps code review overview view displaying PR description, tags, and related work items.

If anything’s unclear: Ask. Don’t guess. Don’t start scanning code without knowing what it’s supposed to do.

Leave Feedback That’s Actually Helpful

Under the description, drop comments with full Markdown formatting:

  • > Quote lines from the PR

  • Suggest changes, don’t just say “fix this”

  • Use buttons to @mention people, link work items, create checklists, or attach files

Azure DevOps PR comment section with Markdown feedback, mentions, linked work items, and checklists.

You can also:

  • Convert comments into tasks

  • Change their status: Active → Resolved → Won’t Fix → Closed

  • Sort by active/resolved to keep the thread clean

Best Practice: Don’t leave vague stuff like “this needs cleanup”.

Instead:

> getSessionToken()

suggestion: Can we handle the null case here before it reaches the router? Might avoid the need for the redirect below

Go to “Files” Tab - That’s Where the Real Review Happens

This is where you review the actual code diff:

  • Inline or side-by-side view

  • Comment on specific lines

    (Notice those little icons below the comment section? I was talking about them above.)

  • Use preview mode for frontend or structured file changes

PR code review in Azure DevOps using side-by-side file comparison and line comments.

What to focus on:

  • Business logic - does it make sense?

  • Edge cases - anything that might silently break?

  • Security holes - anything that trusts user input?

  • Side effects - does it touch the global state, mutate things unexpectedly?

  • Performance - any unnecessary calls or big loops?

  • Naming - would someone else understand this in 6 weeks?

Don’t sweat:

  • Semi-colons

  • “I prefer tabs.”

  • Style rules that linters can enforce

Go to “Updates” & “Commits” for the Backstory

  • Updates tab → See changes to the PR title, reviewers, auto-complete settings

  • Commits tab → Understand the commit trail

Best Practice: If the commit messages are junk (e.g., try again, fix issue, final), ask for a squash and rewrite.

Good commits make future debugging 10x easier.

Time to Vote

Click the dropdown next to Approve, and you’ll get:

Azure DevOps code review approval dropdown with merge options for reviewers.
  • Approve - You’re good with this

  • Approve with Suggestions - Mergeable, but FYI on some improvements

  • Wait for Author - Needs work before merge

  • Reject - Only use if it's seriously broken or wrong direction

Use “Approve with Suggestions” generously - it helps move things forward while still giving good input.

Use Auto-Complete (Azure’s Cleanest Feature)

Click the dropdown next to Set Auto-Complete

Azure DevOps pull request auto-complete dropdown with merge conditions for reviewers, tasks, and pipelines.

Once set, Azure will merge this PR automatically when:

  • All reviewers approve

  • All tasks are resolved

  • Pipelines (CI) pass

You can even configure:

Merge Type

Pull request auto-complete in Azure DevOps with options for merge type, squash, rebase, and semi-linear history.
  • Merge (no fast-forward) → keeps full history
    Creates a new merge commit that brings the branch into the target - full history preserved.

  • Squash → 1 commit, clean tree
    Combines all commits into one clean commit on the target branch.

  • Rebase and fast-forward → linear, no merge commit
    Rewrites history so the branch appears as if it were built directly on the target. No merge commit is created.

  • Semi-linear → rebase + merge node
    Rebases the source onto the target, then creates a merge commit, combining the benefits of rebase and explicit history tracking.

Post-Merge Settings

Azure DevOps post-merge settings with options to complete linked work items, delete branch, and edit commit message.
  • Complete linked work items

  • Delete branch

  • Customize commit message

Best Practice: Turn this on early in your review - so it merges automatically once everything’s ready.

After Merge: Now What?

Once your PR is merged, Azure shows this final confirmation screen - but what are those two new buttons?

Post-merge view in Azure DevOps PR with options to cherry-pick changes or revert the merged commit.

Cherry-pick

Want to apply this change to another branch (like a hotfix or release branch)?

Click Cherry-pick, choose the target branch, and Azure will open a new PR with the same change.

Revert

Need to undo a merged PR (without rewriting history)?

Click Revert and Azure will auto-generate a PR that reverts the changes — clean and traceable.

These options make it easy to manage mistakes or backport fixes, without fussing with Git CLI.

What a Great Reviewer Actually Does

You're not here to find typos.

You’re here to help the team avoid fire drills later.

Review Checklist

  • Did I understand what this PR is trying to solve?

  • Did I check for regressions, weird edge cases, risky assumptions?

  • Are tests in place or updated?

  • Will this confuse someone next week?

  • Did I leave clear, kind, actionable feedback?

TL;DR - Reviewing Is a Skill. Treat It Like One.

A great PR review:

  • Builds trust

  • Catches real bugs

  • Improves the author’s confidence

  • Reduces long-term tech debt

“You don’t need to approve everything.
You just need to help the team ship the right things”.

Enforcing Quality with Branch Policies (The Right Way)

A PR isn’t just a conversation - it’s also a gate. And Azure DevOps gives you powerful controls to make sure no PR sneaks through without quality checks.

Whether it’s enforcing reviews, blocking merges with failing pipelines, or auto-including the right reviewers, branch policies are how your team turns good habits into defaults.

What You Can Enforce

These are the core policies available in Azure DevOps - each helping enforce a different layer of review quality:

  • Minimum number of reviewers: Make sure every PR has 1–2 real reviews before it hits main.

  • Required reviewers: Assign specific people (or groups) based on file paths - perfect for infra, auth, or sensitive domains.

  • Linked work items: Don’t let devs push code without context - enforce connection to Azure Boards tasks, bugs, or stories.

  • Successful builds: Hook into Azure Pipelines - block merges unless your build/test jobs pass.

  • Resolved comments only: Stop merges until every open thread or task is closed.

  • Branch up-to-date with target (optional): Prevents weird rebase/merge conflicts - ensures changes are tested against the latest code.

  • Status checks from external services: Require success from tools like CodeANT, Snyk, or coverage analyzers before merging.

How to Set This Up

  1. Go to your Project Settings

  2. Under Repos → Repositories, select your repo

  3. Scroll to the bottom, click on the desired branch under ‘Branch Policies’

Steps in Azure DevOps to set up branch policies from project settings and repository configuration.

You’ll see these main tabs:

1. Branch Policies (the core rules)

  • Require a minimum number of reviewers: Usually 1 or 2. Best Practice: Don’t allow solo reviews.

  • Check for linked work items
    Enforces traceability - no mystery PRs.

  • Check for comment resolution
    Prevents "merge and forget" by blocking unresolved discussions.

  • Limit merge types: Control history quality: allow only squash or rebase if your team wants a clean log.

Azure DevOps branch policy settings showing reviewer requirements, linked work items, comment resolution, and merge type limits.

2. Build Validation

This is where you plug in your Azure Pipelines:

  • Build pipeline: select your .azure-pipelines.yml

  • Trigger: automatic (on push) or manual

  • Policy requirement: required or optional

  • Build expiration: choose when the build becomes stale (immediate, 12h, never)

Azure DevOps pipeline validation setup for pull requests including triggers, required status, and expiration options.

Pro tip: Choose “Required” and set build to expire if the target branch (main) has moved - ensures up-to-date testing.

3. Status Checks

Use this if you want external tools to block or approve merges.

  • Define the status name (e.g., CodeANT/SAST, SonarCloud/Coverage)

  • Choose if it’s required or optional

  • Limit who can post the status (e.g., only a trusted integration)

  • Set reset conditions (e.g., reset status when new commits are pushed)

Azure DevOps status check settings showing external tool integrations like CodeANT for PR validation.

4. Automatically Included Reviewers

Assign code owners based on paths:

  • Add one or more users/groups

  • Make their approval optional or required

  • Scope them to specific folders (e.g., src/db/, terraform/)

  • Decide if PR authors can approve their own changes (usually off for shared repos)

Azure DevOps pull request reviewer configuration with code owners, folder scoping, and author approval rules.

Best Practice: Use this to avoid “PR roulette” - always loop in the right people for the right files.

Tie It All Together with Auto-Complete

Once policies are in place, Set Auto-Complete becomes super powerful:

Azure will only merge the PR when:

  • All reviews are done

  • All tasks are resolved

  • All pipelines pass

  • All statuses are green

  • (Optionally) source branch is up-to-date

Branch policies aren’t bureaucracy. They’re just your best reviewer - never tired, never rushed, never skipping steps.

Use them to automate consistency, reduce human error, and focus your team’s time on what matters: code quality and collaboration.

Ready to automate even more?

Advanced Code Review: Automate What Humans Shouldn’t Be Doing

Not every part of a code review needs a human.
In fact, some parts shouldn’t be reviewed by a human at all.

Formatting? Linting? Forgotten imports? Outdated dependencies?
You don’t need your smartest dev commenting “pls run Prettier”.

This is where Azure Pipelines shine - by shifting review left, so most issues are caught before anyone even clicks “View Pull Request”.

What Azure DevOps Pipelines Can Handle Automatically

Once configured, Azure Pipelines can run every time a PR is opened or updated - pre-merge checks that give reviewers a clean, tested foundation.

Here’s what you can and should automate:

Linting

Catch style issues early:

  • JavaScript/TypeScript → eslint

  • Python → flake8, pylint

  • Java → checkstyle

Tests

Run your unit, integration, or end-to-end test suite - and make sure nothing’s broken.

Formatting

Auto-check that code is properly formatted (black, prettier, clang-format)

Security Scans

Scan for known vulnerabilities or secrets:

  • npm audit, pip-audit, bandit, snyk

Static Analysis

Check for dead code, risky patterns, and complexity issues before the PR hits human eyes.

Two Ways to Set Up Azure DevOps Pipelines

Azure Pipelines can be configured in more than one way depending on your team’s preference and maturity. Here are two simple approaches you can start with.

1. Use a .azure-pipelines.yml file (recommended for teams)

Here’s a sample for a Node + Python project:

trigger:
  branches:
    include:
      - main
      - develop
      - features/*

pr:
  branches:
    include:
      - '*'

pool:
  vmImage: 'ubuntu-latest'

steps:
  - task: UseNode@1
    inputs:
      version: '18.x'

  - script: npm install
    displayName: 'Install dependencies'

  - script: npm run lint
    displayName: 'Run Linter'

  - script: npm test
    displayName: 'Run Tests'

  - task: PythonScript@0
    inputs:
      scriptSource: 'inline'
      script: |
        pip install bandit
        bandit -r .

    displayName: 'Run Bandit Security Scan'

This runs on every PR and covers:

  • Dependency installation

  • Linting

  • Testing

  • Security scanning

Customize it for your stack (Java, Go, .NET, etc.)

2. Set up a Pipeline via Azure DevOps UI

If you’re not ready to write YAML yet, Azure DevOps helps you get started:

  1. Go to your project

  2. Click Pipelines → New Pipeline

  3. Choose your repo (e.g., Azure Repos Git or GitHub)

  4. Select a starter template (Node, Python, .NET, etc.)

  5. Review and customize the YAML it generates

  6. Commit the pipeline file to your repo

Azure DevOps pipeline setup wizard guiding users through repo selection, template choice, and YAML customization.

Lock It In with Policies

No need to repeat steps here - just know:

Set your pipeline as required in Build Validation. And status checks from other tools (like CodeANT, SonarQube, Snyk) in Status Checks.

No green check? No merge.

Let’s Talk About Work Items (Properly, Now)

Work items are a core part of Azure DevOps - and code reviews are stronger when they’re connected to actual project work.

A work item can be:

  • A User Story

  • A Task

  • A Bug

  • A Feature, Epic, or any custom type

When you link a PR to a work item, it gives reviewers context:

  • Why this code change exists

  • Who requested it

  • What sprint or objective it is tied to

You can link work items when:

  • Creating or editing a PR

  • Mentioning them in comments with #<work item number>

  • Using the "Work items to link" section in the PR sidebar

How to Create a Work Item

  1. Go to the Boards section in Azure DevOps (sidebar)

  2. Click New Work Item → [Choose type]

  3. Fill in the title, assign it, add tags, priority, etc.

  4. Save

Azure DevOps Boards screen showing how to create a new work item with title, tags, priority, and assignment.

Once created, every work item gets a unique ID (e.g., #245) — which can be referenced in PRs, commits, and comments.

How to Link a Work Item to a PR

We’ve already been through this: Just to reiterate, you can link a work item when creating or editing a PR:

  • In the PR form, scroll down to Work items to link

  • Use the search to find the correct task/bug/story

  • Select it → it’ll show up below your PR description

You can also mention the work item using #<ID> in:

  • The PR title or description

  • A comment

  • A commit message

Azure DevOps will automatically create a backlink between the PR and the work item.

Let your CI catch flaky tests, formatting issues, and insecure code. Let your reviewers focus on what really matters: logic, architecture, and clarity.

Supercharge Azure DevOps Code Reviews with CodeAnt AI

By now, you know what a great PR review looks like.

But here’s the truth:

Even the best reviewers miss things. Even the most disciplined teams get busy.

That’s where CodeAnt.ai comes in.

It doesn’t replace human judgment - it supports it.

By handling the repetitive, the invisible, and the security-critical.

Right inside your Azure DevOps PRs.

CodeAnt integration inside Azure DevOps pull requests showing automated security and code quality review feedback.

What CodeAnt AI Does for You

Once installed, CodeAnt.ai reviews every PR - instantly.

No delays. No skipped checks. Just helpful, high-signal feedback.

  • Summarizes the PR in plain English → Understand what changed and why in seconds.

  • Leaves inline comments with one-click suggestions → Fix bugs, clean up dead code, or refactor - right in the PR.

  • Flags logic bugs, missing tests, duplicate blocks, risky patterns → Across 30+ languages, with deep context awareness.

  • Runs security and compliance scans → Secrets, misconfigurations, OWASP issues, vulnerable dependencies - blocked before merge.

  • Supports your team’s custom rules → Like “all public methods need XML docs” or “flag non-async DB calls”.

  • Generates audit-ready reports (SOC2, HIPAA, ISO) → For teams with compliance needs or enterprise policies.

  • Integrates with Azure Pipelines + Status Checks → Acts as a quality gate - no green status = no merge.

  • Works right inside the Azure DevOps UI → Zero context switching. Just open a PR and you’ll see it in action.

Web image of CodeAnt page showcasing how it works for AI code reviews, code security practices, and code quality.

🚀 Why Teams Use It

Because smart teams know:

  • Linting ≠ logic review

  • CI ≠ code clarity

  • Manual review ≠ consistency

CodeAnt catches what others miss. And it explains why - clearly.

It helps your junior devs learn.
Your senior devs save time.
And your codebase stays clean, secure, and review-ready.

CodeAnt doesn’t replace reviewers. It raises their floor.

Use it to automate the repetitive, surface the hidden, and focus your team on the feedback that actually matters.

You’ve already learned how to review well in Azure DevOps.

Now let CodeAnt help you do it at scale.

Keep PRs Small, Scoped, and Clear

Big PRs are like big meetings: noisy, hard to follow, and slow to move.

If you want better, faster code reviews - start with smaller PRs.

Here’s what that looks like:

  • Stick to <300 lines changed: More than that? It’s probably doing too much.

  • One purpose per PR: Pick one: a feature, a bugfix, a refactor - not all three.

  • Avoid mixing concerns: If your PR adds tests and renames files, and fixes a bug - split it.
    Different changes deserve their own space to breathe.

  • Use PR templates: They help enforce structure and remind you of what belongs.

Pro tip: The smaller your PR, the more likely it is to get reviewed quickly - and correctly.

Final Checks Before You Merge

Before you smash that merge button - pause.

Here’s your pre-merge checklist:

  • All comments resolved: No lingering feedback? Cool.

  • All tasks completed: Azure lets you turn comments into tasks - finish them before merging.

  • All builds & policies passed: Pipelines, security checks, status gates - all green?

  • Branch is up to date: Avoid last-minute merge conflicts by syncing with the target.

  • Merge strategy selected: Choose one based on your team’s policy:

    • Squash → one commit, clean history

    • Merge commit → full history, detailed

    • Rebase & fast-forward → linear, no merge bubbles

  • Auto-complete enabled: Let Azure handle the merge once everything passes.

  • Delete the source branch: Keep your repo tidy - don’t leave dead branches behind.

PR Author’s Final Checklist

Before you hand off your PR for review - or merge it yourself - run this checklist:

- [ ] I've reread all my code  
- [ ] Tests pass locally and in CI  
- [ ] My title and description explain the why  
- [ ] I've added screenshots or logs if needed  
- [ ] I've written or updated tests  
- [ ] The right reviewers are tagged  
- [ ] I've addressed all comments  

You can paste this directly into your PR description or template - it keeps everyone accountable and consistent.

Wrapper: Good Code Reviews Build Great Teams

Azure gives you the structure.

Pipelines give you the automation.

CodeAnt gives you the intelligence.

But you - you bring the clarity.

At the end of the day, the best reviews don’t just ship code. They teach, protect, and scale trust across your team.

Every pull request is an opportunity -

  • To spot what’s broken

  • To explain what’s unclear

  • To make one another better.

So review like it matters. Because it does.

FAQs

How do I enforce branch policies at scale across many repos (without clicking through UI)?

Problem: Manually setting minimum reviewers, linked work items, and build checks per repo doesn’t scale.

Solution: Manage policies as code via scripts + templates.

Approach

  • Keep a repo template (README, PR template, CODEOWNERS-style paths via “Auto-included reviewers”) in a seed repo.

  • Use Azure DevOps REST API (or az devops invoke) to push identical policies to all repos.

  • Store a policy-config JSON in a tooling repo and run a nightly job to reconcile drift.

Skeleton (PowerShell + REST)

$org = "https://dev.azure.com/ORG"
$project = "PROJECT"
$pat = "PAT:<token>"
$headers = @{Authorization = $pat; "Content-Type"="application/json"}

# Example: require 2 reviewers on main
$body = '{
  "isEnabled": true,
  "isBlocking": true,
  "type": {"id":"fa4e907d-c16b-4a20-89f8-4e711d68c55f"}, 
  "settings": {"minimumApproverCount": 2, "creatorVoteCounts": false, "scope": [{"repositoryId":"REPO_ID","refName":"refs/heads/main","matchKind":"exact"}]}
}'
Invoke-RestMethod -Uri "$org/$project/_apis/policy/configurations?api-version=7.1-preview.1" -Method Post -Headers $headers -Body $body

Also enforce: Linked work items, resolve all comments, and limit merge strategies via separate policy objects.

How do I fail a pull request if tests or security scans fail (hard gate)?

Problem: Reviews get approved while CI or security checks are still red.

Solution: Use Build Validation + Status Checks as required.

Steps

  1. Branch Policies → Build Validation: select your YAML pipeline, set Required.

  2. Branch Policies → Status Checks: add external checks (SAST, coverage, license).

  3. Make pipeline fail the build on test/scan violations.

YAML example (Node + Python)

trigger: none
pr:
  branches: { include: [ main, develop ] }

jobs:
- job: test_and_scan
  pool: { vmImage: 'ubuntu-latest' }
  steps:
  - script: npm ci && npm test -- --ci
    displayName: Run JS tests
  - script: pip install -r requirements.txt && pytest --maxfail=1 --disable-warnings -q
    displayName: Run Python tests
  - script: pip install bandit && bandit -r .
    displayName: SAST (Bandit)
  - script: npm audit --audit-level=high
    displayName: Dependency audit (npm)

Result: PR cannot merge until all green (build + status checks). SEO: build validation, status checks, secure code review in CI/CD.

How do I block secrets (API keys, tokens) from ever merging?

Problem: Accidental secrets in PRs cause incidents and compliance issues.

Solution: Run secrets scanners in PR pipelines and make findings fail.

YAML with Gitleaks

steps:
- script: |
    curl -sSL https://github.com/gitleaks/gitleaks/releases/latest/download/gitleaks-linux-amd64 -o gitleaks
    chmod +x gitleaks
    ./gitleaks detect --source . --report-format sarif --report-path gitleaks.sarif
  displayName: Secret scan (Gitleaks)
- task: PublishBuildArtifacts@1
  inputs: { pathToPublish: 'gitleaks.sarif', artifactName: 'security-reports' }

Make it a gate

  • Set the pipeline to fail on findings (exit code ≠ 0).

  • Add this pipeline as Required under Build Validation.

  • Optional: add a Status Check named Secret Scan to block merges until PASS.

Our monorepo is slow. How do we speed up PR feedback and keep reviews focused?

Problem: Full-pipeline runs + huge diffs → slow feedback.

Solution: Path filters, required reviewers by path, and job-level conditional runs.

Path filters (only run jobs when relevant files change)

pr:
  paths:
    include:
      - web/**
      - shared/**
    exclude:
      - docs/**
jobs:
- job: web_tests
  condition: contains(variables['Build.ChangedFiles'], 'web/')

Also

  • Auto-included reviewers by path (e.g., /infra/, /security/) so domain owners see the right PRs.

  • Enforce PR size: add a script that counts changed lines and posts a failing status if > 300 lines (keeps reviews fast & high-signal).

Benefits: Faster pipelines, faster Time to First Review, less reviewer fatigue. SEO: Azure DevOps monorepo, path filters, PR performance.

How can we measure and improve review SLAs (Time to First Review, cycle time, DORA)?

Problem: No visibility into review lag or delivery performance.

Solution: Use Analytics Views, Dashboards, and lightweight automation.

Steps

  1. Enable Analytics → build views for:

    • Time to First Review/Comment

    • PR Cycle Time (open→merge)

    • Rework loops (comments → pushes)

  2. Create a Dashboard (PR widgets + pipeline summary + key charts).

  3. Add Auto-Complete + Resolve all comments before merge to reduce idle time.

  4. Weekly job via REST: compute median TFFR per team and post in Teams/Slack.

Quick wins

  • Min reviewers = 2, required reviewers by path → better first-pass quality.

  • Build expiration on policies → prevents “stale green” merges.

  • Track Lead Time for Changes (commit → production) for DORA reporting.

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Ship clean & secure code faster

Avoid 5 different tools. Get one unified AI platform for code reviews, quality, and security.

Ship clean & secure code faster

Avoid 5 different tools. Get one unified AI platform for code reviews, quality, and security.