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Code Reviews Matter More in Small Teams

Written by:Better SoftwareBetter Software TeamUpdated 9 min read
Code Reviews Matter More in Small Teams

Quick Answer

Small teams depend on code review more than large ones because each engineer often owns an entire area alone, with no separate QA team and little redundancy. A second reader catches defects, spreads knowledge of how the system works and keeps the design consistent, so one person leaving does not strand a product area. Small changes, a quick turnaround and automated style checks keep the practice from slowing delivery.

In a team of three engineers, one person can easily become the only one who understands billing, or authentication, or the import pipeline. We often see this pattern in early products, and it is usually invisible until that person is on holiday or leaves.

Code review is the practice of having at least one other engineer read and approve a change before it is merged into the main codebase. Large companies use it for consistency at scale. Small teams need it for a more basic reason, because it is often the only process standing between one person's blind spot and production.

This post explains why code review carries more weight in a small team, how to run it without slowing delivery, what reviewers should check first, the mistakes small teams make, and when a lighter process is reasonable.

Why Code Review Carries More Weight in a Small Team

A small team rarely has a dedicated QA engineer, a platform group or an architecture board. The checks those roles provide in a larger company either happen in code review or do not happen at all.

The benefit is not only catching bugs. Microsoft researchers who studied review across diverse teams found that while finding defects remains the main motivation, reviews are less about defects than expected and instead provide benefits such as knowledge transfer, increased team awareness and alternative solutions to problems.

Those secondary benefits are exactly what small teams lack. Three effects matter most.

  • Knowledge spreads, so more than one person can change each part of the system.
  • Design stays consistent, because new code is read by someone who knows the existing patterns.
  • Risky shortcuts get questioned before they become permanent, which slows the growth of technical debt.

We also see a quieter benefit. When every change is read by someone else, engineers write code with a reader in mind, with clearer names, smaller functions and fewer clever tricks. In a small team, that reader is often the person who will maintain the code next year.

How to Run Code Review in a Small Team Without Slowing Down

The fear in a small team is that review becomes a queue. These seven practices are how we keep code review fast while still getting its benefits.

1. Require Review for Every Change to the Main Branch

Make review a merge rule enforced by the repository, not a habit people remember. Branch protection that blocks direct pushes removes the temptation to skip review for a "quick fix", which is where many production issues start.

Genuine emergencies can still be handled with a fast review after the fact, but the default should be that nothing reaches the main branch unread.

2. Keep Changes Small Enough to Review in One Sitting

Small changes get faster and more careful reviews. Google's engineering practices note that small changes are reviewed more quickly and more thoroughly, and suggest that 100 lines is usually a reasonable size, while 1000 lines is usually too large, leaving the final call to the reviewer.

Splitting a feature into a sequence of small, working changes takes some practice. It pays back quickly, because large changes tend to wait days for review and then get skimmed.

3. Agree on a Turnaround Time

Set a simple expectation, such as reviewing within the same working day. In a small team, an unreviewed change blocks the author directly, so turnaround matters more than thoroughness on trivial changes.

We find that reviewing at natural breaks, such as after lunch and before stand-up, keeps waits short without constant interruptions.

If a change needs a long discussion, a short call usually settles it faster than a long comment thread. We then write the outcome back into the review so the decision is visible to everyone.

4. Automate Formatting, Linting and Tests

Anything a tool can check should never reach a human reviewer. Formatters, linters, type checks and the test suite should run on every change and block merging when they fail.

That frees review time for the questions only a person can answer, such as if the change is correct, safe and easy to understand.

5. Rotate Reviewers Across the Codebase

If the same two people always review each other, knowledge stays in pairs. Rotating reviewers, including asking engineers to review areas they do not usually touch, is the cheapest way to spread understanding across a small team.

The reviewer does not need to be an expert in that area. Their questions are often what reveal the parts that only the author understands.

6. Approve Changes That Improve the Code, Not Perfect Code

Google's standard for code review says reviewers should favor approving a change once it definitely improves the overall code health of the system, even if it is not perfect. That rule prevents review from turning into a debate about preferences.

We label optional suggestions clearly, so the author knows what must change and what is simply an idea. A prefix such as "nit" or "optional" is enough, and it keeps small preferences from holding up a merge.

7. Record Decisions Where the Next Engineer Will Find Them

Review threads are where many design decisions get made. When a thread settles something important, such as why a library was chosen or why a shortcut is acceptable for now, we move that reasoning into the code, the pull request description or a short decision note.

That habit is one of the principles we describe in our engineering principles guide, and it is part of how we approach product engineering for early-stage teams.

What a Code Review Should Check First

Reviewers in small teams have limited time, so the order of attention matters. We teach reviewers to work from the most expensive problems down.

  1. Correctness, meaning the change does what it claims, including edge cases and failure paths.
  2. Security, such as input validation, authorization checks and secrets kept out of code.
  3. Data safety, including migrations, deletes and anything that touches money or customer records.
  4. Design, meaning the change fits existing patterns or has a good reason not to.
  5. Readability, so the next engineer can understand the code without the author present.
  6. Tests, covering the behavior that matters rather than chasing a coverage number.

This order matters more as AI coding assistants write a growing share of code. Generated code often looks clean and still gets authorization or edge cases wrong, which is why we use a dedicated checklist for deciding if AI-generated code is production ready.

Code Review Mistakes Small Teams Make Most Often

The mistakes we see in small-team code review are usually about habits rather than tools.

  • Rubber-stamp approvals, where a change is approved without being read and the review gives false confidence.
  • Arguing about style that a formatter should settle automatically.
  • Large changes held back for days, then reviewed in a hurry.
  • One engineer working alone for weeks, then opening a change nobody can realistically review.
  • Comments aimed at the author rather than the code, which makes people avoid asking for review.
  • Junior engineers never reviewing senior engineers' work, which removes one of the best ways they learn the system.

Founders who cannot read code can still spot several of these from the outside, such as how long changes wait or if reviews contain real comments. Our guide to evaluating code quality when you cannot read code covers what to look for.

When a Lighter Code Review Process Makes Sense

There are situations where we deliberately lighten code review, and it is better to name them than to let the process erode quietly.

  • A solo founder building a prototype with no second engineer, where automated checks and a self-review pass are the realistic option.
  • Pair programming, where the second person has already read every line as it was written.
  • Throwaway spikes on a separate branch that will never be merged as written, used only to learn how something works.

Even in these cases we keep automated checks on every change. When the throwaway code turns into the product, which happens more often than founders plan, full review starts from that point.

Make Every Change Readable by One Other Person

In a small team, code review is the cheapest insurance against knowledge loss, inconsistent design and avoidable production bugs. Keep changes small, review them the same day, let tools handle style and rotate reviewers so understanding spreads. In our experience, the time spent on review is repaid in fewer surprises after release.

If you want a product team that works this way from the first commit, Better Software agrees a scoped plan with you before the build begins.

Frequently Asked Questions

What Is the Purpose of Code Reviews?

The purpose of code reviews is to have a second engineer confirm a change is correct, safe and understandable before it merges. We also rely on them to spread knowledge of the system and keep its design consistent, which matters most when a team is small.

Are Code Reviews Necessary?

For any product with paying customers, we consider code reviews necessary. They are the main check against the mistakes of one engineer reaching production. The only common exceptions are solo prototypes and pair programming, where a second person has already read the code as it was written.

How Often Should Code Reviews Happen?

Code reviews should happen on every change before it merges, not on a weekly schedule. We aim to review within the same working day, because waiting changes block their authors and grow stale. Small, frequent changes make that pace realistic for a small team.

What Makes a Good Code Review?

A good code review checks correctness, security and data safety first, then design and readability. We keep comments about the code rather than the author, mark optional suggestions clearly, and approve once the change improves the system, even if it is not perfect.

How Strict Should Code Reviews Be in a Small Team?

We are strict about what reaches production and relaxed about preferences. Every change gets a real review, and correctness, security and data safety are never waived. Style is left to automated tools, and optional suggestions never block a merge in our teams.

About the author

Better Software

Better Software Team

Product and engineering team

Better Software Team is the product and engineering team at Better Software. We build new software products and improve existing applications and systems, with deeper experience in healthcare, finance and energy.