Engineers communicate constantly. Slack messages, design documents, RFC threads, and code review comments all play a vital role in the collaborative process of software development. However, the very foundation of their work – the code itself – and its surrounding artifacts, are often overlooked as critical communication channels. This oversight can lead to significant inefficiencies and misunderstandings, especially as software projects scale and their lifecycles extend.
At its core, code is more than just a set of instructions for a machine. It is a message, meticulously crafted, intended for the next engineer who will need to read, extend, or debug it. It is a communication to teammates during a code review, and crucially, it is a message to one’s future self, six months down the line, when the original context has inevitably faded. A commit message, in this regard, functions as a standalone Slack message – devoid of a thread, incapable of follow-up questions, and often read years after its creation. This fundamental shift in perspective, treating "code as communication," necessitates a re-evaluation of how developers approach their craft. Questions arise such as: Is this commit immediately understandable without external context? Can a reviewer logically progress through the changes in a pull request? Does a code comment explain the why behind a particular implementation, or merely reiterate what the code already states?
While the local development workflow allows for experimentation, iteration, and even the discarding of ideas, the moment code is prepared for merging, the rules of engagement change. What is about to become part of the codebase is no longer a mere diff; it is a historical record. It will serve as a reference for understanding file modifications, pinpointing the introduction of bugs, or deciphering the problem a pull request aimed to solve. This is the critical juncture where slowing down and ensuring the narrative is clear for others becomes paramount.
The Pull Request as a Narrative Arc
A powerful mental model for achieving this clarity is to conceptualize a pull request (PR) as a book, with each commit serving as a distinct chapter. The code within each commit then represents the prose. Just as readers engage with a book sequentially, a reviewer should be able to follow the reasoning behind code changes in the order they were committed. This intentional sequencing allows the story to unfold logically, eliminating the need for guesswork or the mental overhead of holding the entire diff in one’s head simultaneously to grasp any single component.
Consider a hypothetical sequence of commits that illustrate this principle:
- Add search endpoint to API: This initial commit establishes the foundational functionality.
- Add basic relevance ranking: Building upon the endpoint, this commit introduces the core logic for ranking search results.
- Extract ranking logic into standalone module: Recognizing the need for modularity and reusability, this commit refactors the ranking logic.
- Add unit tests for ranking: This step ensures the isolated ranking module functions as expected.
- Add integration tests for search endpoint: Finally, this commit validates the end-to-end functionality of the search feature.
When read in this order, the progression is clear: the feature was built incrementally, the ranking logic was successfully modularized, and comprehensive testing was implemented at both the unit and integration levels. No extensive PR description is required to reconstruct this narrative; the commits themselves tell the story.
For this narrative approach to be effective, each commit must carry its own weight and represent a single, coherent change. A rename operation combined with a functional modification, for instance, should ideally be separated into distinct commits. The titles of these "chapters" – the commit messages – are as crucial as the content within. A commit message like "Fix ABC-123" provides only a pointer to external context, which may not be readily accessible when needed. Short, verb-first messages, such as "Add search endpoint," "Implement relevance ranking," or "Refactor ranking logic," are far more effective. When read in sequence, these messages immediately convey the story of the changes.
During the review process, it is advisable to avoid force-pushing and rewriting commit history. Instead, new commits should be added to address feedback. Reviewers often anchor their comments to specific lines of code. Rewriting history invalidates these anchors, making the conversation difficult to follow. By adding new commits, the original narrative remains intact, feedback is addressed incrementally on top of it, and future readers can clearly trace the evolution of the PR.
The Unseen Reader: Considering the Reviewer and Beyond
When code is written with communication as a primary objective, the experience for the reviewer transforms. Instead of piecing together intent from disparate changes, they are guided through a logical narrative. While this demands more effort from the author, it significantly reduces friction for everyone else, particularly for reviewers who may not have been involved in the initial development process. In a team environment, this trade-off is undeniably beneficial. A clear and well-structured PR is inherently easier to review, allowing teams to dedicate more time to scrutinizing the actual code changes rather than deciphering the context behind them.
The reviewer is not the sole audience. Years later, an engineer may revisit the codebase and seek to understand the rationale behind a specific line of code. A robust commit history provides a trail back to the original context: the commit that introduced the change, the PR it was part of, and the underlying trade-offs considered. Without this trail, there is an increased risk of inadvertently "fixing" something that was intentionally implemented to address a specific constraint.
As one prominent engineer noted, "The code already shows what is happening. What it often can’t show is why it exists, what constraint it’s working around." This sentiment extends to code comments. A comment stating "// increments the counter" offers no value, as the code itself performs this action. However, a comment like "// must run before the subscription is set up, or the callback fires before state is ready" is invaluable. This type of "load-bearing documentation" can save hours of debugging and prevent the introduction of critical bugs.
The Growing Importance of AI-Generated Code Communication
The advent of AI agents capable of generating code at an unprecedented speed introduces a new layer of complexity. While speed offers velocity gains, it does not inherently replace the need for context. The "cleanup cost" associated with poorly documented or context-less AI-generated code can far outweigh the initial efficiency benefits, a reality many teams are beginning to grasp. Without proper guidance, AI agents might produce a single, monolithic commit with a generic message like "implement feature," leaving no trace of the underlying reasoning.
However, by instilling the same communication conventions in AI agents as expected of human engineers, this challenge can be mitigated. Atomic commits make the AI’s reasoning legible, allowing developers to observe the sequence of implementation, refactoring, testing, and problem-solving. This visibility is not merely for understanding; it is crucial for identifying gaps in the AI’s logic before they manifest in production. A commit history that progresses logically, from adding an endpoint to implementing tests, without unexplained leaps, serves as a critical signal. A clean and structured commit history is auditable, offering a level of transparency that a single, undifferentiated diff cannot provide. The code remains a message, even if the author is not human.
Structure as an Integral Part of the Message
The structure of this article itself serves as a testament to the power of clear communication. Each heading has been designed to inform the reader precisely what content to expect, eliminating the need to skim the entire piece to grasp its organization. This is analogous to well-crafted commit messages and a well-structured pull request. The inherent structure of the submission is a form of communication, guiding the reader and minimizing guesswork. When executed effectively, this clarity ensures that the intent and progression of the changes are readily apparent.
This article was originally published on June 11, 2026, on webflow.com.
