Question 1

What is a code review actually for?

Accepted Answer

Not primarily for catching bugs — which is the assumption most reviewers bring and the reason so many reviews are unsatisfying for everyone involved.

**What the evidence and practice suggest reviews are best at:**

**Spreading knowledge.** After a review, at least two people understand that change. This is the single most durable benefit and the one that survives when someone leaves.

**Maintaining consistency.** Keeping the codebase coherent in structure and idiom, so it reads as though written by one careful person rather than twelve.

**Catching design problems** — the wrong abstraction, the missing case, the approach that will not extend. These are far harder to find later than a null check, and far cheaper to fix now.

**Improving readability for the next reader**, who is frequently the author in six months.

**Creating accountability**, which changes how people write before they submit — the anticipation effect is real and probably underrated.

**Where it is genuinely weak:** subtle logic errors, concurrency bugs and performance problems are poorly caught by reading. Tests, types, static analysis and profiling find those far more reliably.

**What makes reviews work:**

**Small changes.** Review quality collapses with size. A hundred-line diff gets scrutiny; a two-thousand-line diff gets "looks good to me". Splitting work into reviewable pieces is the highest-leverage change available.

**Automate the mechanical.** Formatting, linting and style should never be discussed by humans. If a reviewer is commenting on spacing, the tooling is missing.

**Distinguish blocking from optional.** Prefixing non-blocking suggestions — "nit:" is the common convention — prevents small preferences reading as demands.

**Ask rather than assert.** "What happens if this is empty?" invites reasoning; "this is wrong" invites defence.

**Review promptly.** A pull request sitting for three days blocks the author and grows conflicts.

**Approve when it is better, not when it is perfect.** Reviews that hold changes hostage to the reviewer's preferred design are the most common way the practice turns corrosive.

Question 2

What is test-driven development, and does the evidence support it?

Accepted Answer

A practice of writing a failing test before the code that satisfies it, in a short cycle — red, green, refactor. The evidence for its claimed benefits is mixed and weaker than advocates suggest,

Question 3

What are the best practices for maintaining code quality in Java projects?

Accepted Answer

Implementing Java best practices for code quality ensures maintainable, efficient, and readable code, enhancing collaboration and reducing bugs.

Question 4

Why does documentation always go out of date?

Accepted Answer

Because documentation and the code it describes are coupled in meaning but decoupled in enforcement — nothing breaks when they diverge, so they diverge. The core mechanism. Code has a merciless

Question 5

What is refactoring, and how is it different from rewriting?

Accepted Answer

Refactoring is changing the internal structure of code without changing its external behaviour. That definition, from Martin Fowler, is precise and the constraint is what makes it refactoring rather

Question 6

What is the difference between a linter and a formatter?

Accepted Answer

A formatter changes how code looks. A linter analyses what code does and flags problems. They are complementary, and confusing them leads to teams configuring one to do the other's job badly. A

Question 7

What makes a good API design?

Accepted Answer

Predictability above cleverness — a good API is one where a developer can guess correctly what something is called and how it behaves, because they will guess far more often than they will read the

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