Why adding developers to a project doesn't always make it move faster, and how shared context prevents duplicated work.
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Why adding developers to a project doesn't always make it move faster.
A client wants to speed up a website project. They have additional developers available, so they bring them in to help. The new team looks at the codebase, finds several unfinished pages, and starts implementing them. A few days later, they have working components, functional interactions, and something tangible to demonstrate. The client sees immediate visual progress, and the new team feels productive.
Meanwhile, another developer has been working on those exact same parts of the website. They haven't finished the pages yet because they're still deciding how the components should fit into the larger system, which elements should be reusable, and how data should flow through the application. The new team doesn't know that. From their perspective, they simply picked up unfinished work and helped move the project forward.
Eventually, the two implementations need to come together—and that's when everyone discovers that the work was done twice.
Now the team needs to compare implementations, reconcile conflicting changes, and decide which parts to keep. Nobody did anything wrong; everyone was genuinely trying to help. But adding more hands created more work than it eliminated.
What's fascinating about this situation is that it doesn't require anyone to be careless or incompetent.
Consider the client's perspective: they have a project to deliver, an impending deadline, and surplus development capacity available. It seems entirely reasonable to put those developers to work rather than leave them idle—more people should intuitively mean more progress.
The incoming developers have an equally reasonable perspective. They see unfinished work in the repository, recognize an opportunity to contribute, and begin building. They're not trying to step on toes; they believe they are actively reducing the remaining workload.
At the same time, the existing developer has a clear plan of their own. They might be working through a deliberate architectural sequence—establishing the component hierarchy before connecting live APIs, or waiting for critical schema decisions to settle. The components that appeared "unfinished" to someone browsing the repo were actually paused on purpose.
Each participant acts rationally on their own isolated understanding of the project. Because each perspective makes total sense independently, the mismatch remains hidden until the pull requests collide.
Everyone can be making progress individually while the project is becoming harder to complete collectively.
When we join an existing software project, our instinct is to look for gaps: a missing page, a stubbed component, or an incomplete interaction. These look like clear opportunities to jump in and add value.
However, an unfinished component in a repository can mean several completely different things:
Those situations look identical from the outside.
Imagine a developer working on a complex product listing page. Before finishing the UI, they want to establish how filters behave across multiple templates, which components can be shared, and how the content management system exposes product relationships. While exploring that architecture, they might temporarily use placeholder data and leave certain interactions stubbed out.
Another developer sees the incomplete listing page and decides to help by finishing it. They wire up filters, fetch data, and build components based on their own assumptions. The result might look polished and functional, but it may contradict the broader system the first developer was preparing.
Now the project has two conflicting interpretations of the same feature. As I break down in Vertical Slices: Stop Starting From Scratch, component architecture succeeds when teams agree on abstraction levels—from UI primitives to shared templates—before implementing redundant one-offs.
What appeared to be a gap in execution was actually a gap in shared context. The solution isn't to discourage initiative; it's to make work-in-progress visible enough that everyone can distinguish unclaimed tasks from deliberate sequencing.
Software projects often measure progress through metrics that are easy to see: completed pages, styled components, closed tickets, and merged pull requests. While useful, these surface signals don't tell the whole story.
A client might see five newly implemented pages and reasonably conclude that delivery is accelerating. The developers who built them might report that their sprint backlog is cleared. But if those pages overlap with another developer's ongoing architecture, that progress is illusory—it must now be reconciled before it can ship.
The hidden overhead includes comparing disparate component trees, deciding which implementation to keep, rewriting conflicting logic, and adapting data layers. None of this means the new code was poorly written; it simply means the work wasn't independent.
Adding capacity only increases throughput when new tasks are truly orthogonal to existing work. If two developers build independent features, their output compounds cleanly. But if they independently tackle the same feature or shared boundaries, the project doesn't get double the progress—it gets two half-solutions and a massive integration bottleneck.
The cost is insidious because two branches can merge cleanly at the Git level while still containing duplicate logic, competing state management, or incompatible architectural assumptions. Visible activity should never be mistaken for true progress toward production.
The obvious remedy seems to be "more communication." But informal communication alone rarely solves coordination drag.
Consider a scenario where a technical lead outlines the roadmap: first, the existing frontend will be reorganized into reusable components; next, those components will be connected to the CMS; finally, the styling will be polished. The lead recommends holding off on styling until the component structure stabilizes. In How to Take Over a Frontend: A 4-Step Production Framework, I detail how to preserve design parity and integrate vertically before starting speculative styling refactors.
Everyone hears the roadmap, but everyone interprets it through their own lens:
Nobody realizes they are working under conflicting premises until code is committed. A written plan is helpful, but sending a message does not guarantee alignment.
A recommendation is not the same thing as a decision, and a decision is not the same thing as shared ownership.
In Technical Leadership Is More Than Having the Answer, I explore why making ownership and business consequences explicit matters far more than having the cleverest technical argument. Whenever work crosses team boundaries, make ownership explicit:
Suppose the work is already done: one team has finished several pages, another has built overlapping components, and both have invested significant time.
At this point, stubbornly defending the original plan is counterproductive. The original roadmap may have been sound, but reality has changed—there is now working code on the table that contains valuable insights.
The immediate goal should be pragmatic triage:
This is where technical leadership must separate code mechanics from interpersonal friction. The conversation cannot devolve into who was "right" or who should have asked first. The only productive questions are: What can we preserve? What still needs to be built? How do we prevent duplicate work from here on out?
Once the code is reconciled, establish clear divisions of labor. Perhaps one team focuses on design tokens and presentational components while the other wires up data fetching and mutations. When reality disrupts your plan, the goal isn't to protect the plan—it's to find the most direct path forward from where you are right now.
A common friction point in multi-team projects is the "surprise demo": a developer shares their screen in a meeting and demos several completed pages.
The demo looks impressive on the surface. But the engineer responsible for maintaining the system hasn't seen the code, compared the diffs, or vetted the data flow. They are forced to evaluate an entire architectural implementation in real time on a video call.
A visual demo proves that an implementation works under happy-path conditions. It tells you nothing about maintainability, edge-case resilience, or whether the code fits the broader system.
For meaningful technical changes, insist on asynchronous review:
The problem in software teams is rarely a lack of meetings—it's a lack of verified, shared understanding.
Adding developers can dramatically accelerate delivery when the work is properly decoupled. But scaling a team requires more than handing out repository access and pointing at a backlog.
Incoming developers need to understand the architecture, component boundaries, and unwritten sequencing rules. The existing team needs visibility into what is being built in parallel. And stakeholders need to know how the pieces will converge.
This doesn't require bureaucratic process or bloated project management. It requires simple discipline: a shared task board, clear domain ownership, frequent integration, and explicit technical decisions.
The goal isn't to micromanage developers or stifle initiative. It's to ensure everyone's energy pulls in the exact same direction. The most expensive coordination failures aren't the ones where work stops—they're the ones where everyone works tirelessly in opposite directions.
The next time you're tempted to add developers to accelerate an in-flight project, don't just ask how much code they can write. Ask what they can cleanly own, what context they need to succeed, and how their work will integrate with what's already underway.
More hands create more capacity. Shared context is what turns that capacity into progress.
For more on team coordination, architecture sequencing, and delivery frameworks:
If your team is managing a complex rebuild or needs senior advisory on frontend sequencing, learn more about my B2B Website Strategy and CMS Architecture Review services.
