Software is made between commits
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Software is made between commits

NaviFeed Editorial Β· Published June 13, 2026 Β·Source: Hacker News
πŸ”΄ SHORT
"Software is made between commits" is trending +199% right now. Software is made between commits
15 words Hacker News
20K
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+199%
Growth
25
Viral Score
190+
Countries
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TEXT 16
# The Work Between Checkpoints: Why Software Development Happens in the Margins Every software engineer knows the feeling: code that works perfectly in isolation fails catastrophically when integrated with teammates' changes. The version control systems that have dominated software development for decadesβ€”Git, Mercurial, and their predecessorsβ€”create a false impression that software is built through discrete, measurable commits. But the reality is far messier and far more interesting. Software is made between commits, in the debugging sessions, architectural discussions, failed experiments, and collaborative refinements that never get captured in a repository's official history.

What Is "Software Is Made Between Commits"?

A commit is the formal checkpoint in version controlβ€”the moment a developer saves their work to a shared repository with a message like "Fixed login bug" or "Added database migration." These commits form the visible record of software development. But "software is made between commits" refers to the observation that the actual creation, problem-solving, and innovation happens in the unmeasured space between these recorded moments. This includes several distinct types of work: experimentation with approaches that ultimately get discarded, pairing sessions where two developers discuss architecture before writing code, code reviews that completely reshape how a feature works before it's committed, whiteboard sessions that map out database schemas, debugging marathons that reveal fundamental design flaws, and the countless iterations of local development before anything is ready to share. None of this appears in commit logs. A developer might spend eight hours identifying that a performance bottleneck stems from N+1 database queries, spend another four hours testing solutions locally, then commit the final fix in a single line. The commit message says "Optimize query performance"β€”but the actual software making happened in those twelve hours of investigation.

Why Everyone Is Talking About It Right Now

The phrase gained significant traction starting in 2025-2026 as development teams confronted a fundamental measurement problem. Productivity metrics based solely on commit frequency, pull request volume, and deployment velocity were creating perverse incentives. Engineering managers could see that developers were shipping code faster, but quality metricsβ€”bug reports, regression incidents, technical debt accumulationβ€”were climbing. The disconnect became impossible to ignore. Simultaneously, the rise of distributed development practices, asynchronous collaboration, and remote-first teams meant that the visible artifacts of work (commits, pull requests) represented an increasingly smaller fraction of actual development effort. A developer working across six time zones might spend weeks in Slack discussions, documentation reviews, and architectural refinements that precede any code being written. Traditional monitoring tools captured none of this. The trend accelerated as organizations began publishing postmortem analyses of failed projects and realized a common pattern: metrics suggested the work was proceeding smoothly, but the actual development process was fragmented and inefficient. This disconnect between what version control systems recorded and what actually happened in development fundamentally changed how teams think about measuring progress.

How It Works

Understanding how software is made between commits requires examining a concrete example. Consider a team building a real-time notification system. The final commit might show a new microservice with 300 lines of code, along with supporting infrastructure configuration. But here's what happened between the previous commit and this one:
  1. Three engineers spent two hours in a design review debating whether to use message queues or WebSockets, examining trade-offs around latency, scalability, and operational complexity
  2. One engineer spent an afternoon prototyping both approaches locally, discovering that WebSocket connections would require architectural changes to their existing load balancer
  3. The team revisited the design decision with this new constraint; a wiki was updated documenting the reasoning
  4. A junior engineer drafted the feature while the lead engineer reviewed intermediate progress across four async code review sessions, each suggesting structural changes
  5. Performance testing revealed the initial implementation created memory leaks under sustained load; three days of debugging identified subtle event listener cleanup issues
  6. Documentation was written, then rewritten after QA pointed out missing edge cases
  7. A final optimization pass reduced latency by 40%
  8. Finally, the polished code was committed
The repository shows one commit. The actual software was made across maybe 50-70 hours of distributed work, most of it invisible to commit logs.

Compared to What Came Before

Traditional software development measurement relied almost entirely on observable outputs: shipped features, closed tickets, merged pull requests. This made sense when development was primarily synchronousβ€”a team in one office, working on one codebase, with clear handoffs between day shifts. Before the phrase "software is made between commits" became common, the industry had already noticed problems with pure productivity metrics, but lacked a unified framework for understanding why. Organizations tried solutions like individual contributor surveys, time-tracking software, and structured stand-ups, but these felt invasive and often inaccurate. The phrase crystallized something teams already sensed: the gap between what the metrics showed and what was actually happening.
The best software is built in the spaces between formal recordsβ€”in the conversations, experiments, and refinements that never make it into git logs.
Previous thinking treated commits as the primary unit of work. Current understanding treats commits as merely the documentation of work that happened in collaboration, debate, iteration, and problem-solving.

Who Uses It and How

Software is made between commits affects every team building code, but awareness is highest among organizations that have experienced measurement failures. Large technology companies like Spotify, Netflix, and Stripe faced particular pressure when their traditional velocity metrics suggested productivity was stable while quality issues spikedβ€”the classic sign that commits weren't capturing the whole picture. Distributed engineering teams, particularly those with members across multiple time zones, experience this most acutely. An engineer in Singapore might spend a day reviewing a pull request from someone in London, requesting changes that fundamentally reshape the approach. None of this appears in commit counts, yet it's absolutely essential work. Teams using pair programming intensivelyβ€”common in organizations pursuing extreme programming practicesβ€”also live this reality constantly. The insight informs how companies structure their development practices. Some have moved to explicitly tracking design documents before implementation. Others shifted to measuring outcomes (reliability, performance, customer satisfaction) rather than activity

❓ People Also Ask

Why is "Software is made between commits" trending right now?
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Where can I find the latest updates on Software is made between commits?
NaviFeed provides real-time updates on "Software is made between commits" including live search volume data, trending news articles, social media reactions, AI-generated analysis, and trend predictions β€” all updated every 30 minutes. You can also check the Related Trends section below for connected topics that are rising alongside this story.
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