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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11An intent alignment review asks one practical question: How does this change achieve its stated goal? Compare the purpose of a code change with what is actually in its diff, and ask for a reason when an implementation choice is unclear. “Justify every line” means code should serve a purpose and decisions should be understandable—not that every line needs a comment or a separate defense.
What an intent alignment review checks
Intent alignment is a useful review lens, not an established formal standard. It adds a goal-alignment check to a code review: does the implementation deliver the outcome the author says it is meant to deliver, and do the choices in the diff make sense in that context?
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That question complements, rather than replaces, checks for correctness, maintainability, security, and project-specific requirements. A change can match its stated goal and still contain a functional defect; conversely, code that appears correct in isolation may not solve the problem the change was meant to address.
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- Behavioral correctness: Are expected and edge-case behaviors validated?
- Maintainability and scope: Is the change understandable and focused enough to review?
- Feedback quality: Do comments explain their reasoning clearly enough for the author to act?
These are practical review dimensions, not a validated scoring system. Keep tests, security review, and other project validation in place: Microsoft Research authors Jacek Czerwonka and Michaela Greiler cautioned in 2015 that code reviews often fail to find functionality issues that should block a submission. Their paper summary also emphasizes reviewers’ skills and the social context of review.
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How to review a change against its stated intent
- Establish the purpose. Ask the author to state the problem, intended outcome, and relevant constraints. A concise explanation in the change description gives reviewers something specific to compare with the diff.
- Read the whole diff in that context. Look for code that does not seem to advance the outcome, as well as choices whose purpose is unclear. Do not assume that an apparently unrelated line is unjustified: supporting refactors may span multiple code elements to enable a feature.
- Ask neutral questions when rationale is missing. For example: “What behavior is this intended to preserve?” or “How does this branch support the stated goal?” A question should make clear whether you need information, are suggesting a change, or are requesting an action.
- Explain suggestions. When proposing a change, give the relevant principle, example, or consequence. That helps the author understand the reason rather than merely receiving a direction.
- Reassess intent after revisions. Review can surface a new goal or constraint. If the purpose changes, make that explicit and evaluate the revised diff against the updated intent.
- Run validation independently. Use the tests and other checks required by the project. A convincing review discussion is not proof that behavior is correct.
Why the conversation matters
Review comments are not all doing the same job. In a study of 499 questions from 399 Android code reviews, information-seeking was the most common intention, but fewer than half of the questions served that purpose; other questions made suggestions, requested action, or criticized. The authors, Felipe Ebert, Fernando Castor, N. Novielli, and A. Serebrenik, argue that reviewers ask for explanations about the rationale behind implementation choices. The study appeared at IEEE ICSME in 2018.
That distinction is useful in practice. “Why did you do this?” can sound like a challenge, while “What behavior is this intended to preserve?” identifies the information needed to assess the change. When you want a modification rather than an explanation, say so and give the reason.
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Suggestions especially benefit from context. A 2025 study of 793 Gerrit review comments found that 42% contained suggestions without explanations. Its authors identified seven explanation types, including a rule or principle, a similar example, and an implication for the future. The study was published in ACM Transactions on Software Engineering and Methodology. These findings do not mean every comment needs a long rationale; a concise reason can be enough to make a suggestion understandable.
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What research says—and what it does not
Intent is not always fixed when a change enters review. A study by M. Paixão and coauthors examined 1,780 reviewed changes across six systems in two open-source communities and found that new developer intents commonly emerged during review and influenced refactoring choices. The work was presented at the 2020 Mining Software Repositories conference. This supports treating review as a conversation in which the goal may become clearer, not just a final inspection against an immutable first description.
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Review context also matters. A Microsoft study analyzed 1.5 million comments across five Microsoft projects. It reported that the proportion of useful comments rose substantially during a reviewer’s first year at Microsoft and tended to plateau later; it also found that changes spanning more files had a lower proportion of comments valuable to the author. These are findings from the projects studied, not a universal rule about reviewer experience or diff size. The study was published at IEEE MSR in 2015.
None of these results establishes that an intent checklist improves defect rates. The practical case for the approach is narrower: stating the goal gives reviewers a reference point, clear questions can surface missing rationale, and explained suggestions are easier to interpret. Those benefits should sit alongside—not stand in for—testing and other controls.
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Make “justify every line” a standard of purpose, not paperwork
A strong review does not demand a comment on each line. It asks whether the important implementation choices make sense for the goal, whether supporting changes are understandable, and whether the author can explain non-obvious decisions when the diff alone does not show their purpose. The result is a review focused on both what the code does and why this change is the right way to do it.
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