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Building Cursor for Community: A Buildathon Built on Time Pressure
Valery Oding · 2026-05-26 · via DEV Community
Cover image for Building Cursor for Community: A Buildathon Built on Time Pressure

Valery Odinga

Building Cursor for Community: A Buildathon Built on Time Pressure

Over the weekend, I attended an event hosted by Cursor Kenya, bringing together developers, builders, and tech enthusiasts to explore modern AI-assisted development workflows and collaboration tools.

The sessions focused on how developers can build faster using AI, improve productivity, and rethink how software is developed in collaborative environments. We also got introduced to tools like Sentry for monitoring and debugging applications, received credits to experiment with, and later moved into a buildathonchallenge.

What followed was not just a coding exercise, but a very tight constraint problem: we had one hour to build a working prototype.

That constraint became the foundation of everything we built.


The Reality of Hackathons and Time Constraints

Anyone who has participated in hackathons or coding competitions knows that time is the most limiting resource.

In theory, teams are supposed to:

  • brainstorm ideas,
  • design a solution,
  • divide tasks,
  • build a working prototype,
  • and prepare a demo all within a few hours or days.

In reality, most of the time disappears into coordination.

Even simple things like:

  • Who is working on what?
  • Has this feature been pushed?
  • Can someone review this?
  • Where is the latest version?

…become friction points.

And in fast-paced environments like hackathons, bootcamps, or team coding sessions, that friction slows everything down.

During the buildathon, that limitation was very visible because the time window was extremely small, just 60 minutes.


Where the Idea Started

The idea for Cursor for Communities did not start as a product idea. It started as a response to the constraint.

We quickly realized that if time is the biggest limitation, then anything that adds delay to collaboration becomes a problem.

Most developer workflows rely heavily on:

  • pushing code to GitHub,
  • waiting for updates,
  • reviewing changes after commits,
  • and communicating separately through chat tools.

That works in normal development cycles, but not in time-bound environments.

So instead of trying to optimize existing workflows, we asked a different question:

What if collaboration happened in real time, inside the coding environment itself?

That question became the foundation of the project.


Building Cursor for Community

Cursor for Community was designed as a collaboration platform for hackathons, bootcamps, and any environment where multiple developers build together under time pressure.

The main goal was simple: reduce the delay between writing code and collaborating on it.

Instead of waiting for commits or pull requests, developers could work in a shared space where progress is visible instantly.

The system focused on three core ideas:

  • real-time visibility,
  • faster feedback loops,
  • and reduced coordination overhead.

This allowed teams to stay focused on building rather than managing workflow transitions.


Real-Time Code Tracking

One of the core features was live code tracking.

Instead of waiting for someone to push changes to GitHub, team members could join a shared workspace and see updates as they happened.

This changed the collaboration model from:

“push → wait → review”

to:

“write → see → react”

This small shift significantly reduces the lag between development and feedback, especially in time-constrained environments like hackathons.

It also makes it easier for teammates to stay aligned without constant status updates.


Team Chat for Fast Coordination

To support collaboration, we added a team chat system inside the platform.

The goal was not to replace existing communication tools, but to keep communication close to the code.

Instead of switching between messaging apps and code editors, teams could:

  • ask questions,
  • coordinate tasks,
  • and resolve blockers quickly in the same environment.

This reduced context switching, which is often one of the biggest productivity killers in fast-paced development.


AI Agent Chat for Development Support

We also integrated an AI agent chat directly into the workspace.

This allowed developers to:

  • ask coding questions,
  • debug issues faster,
  • get explanations,
  • and receive suggestions while building.

Rather than leaving the environment to search for answers, teams could interact with an AI assistant in real time while coding.

This was especially useful during the buildathon, where every minute mattered and blocking issues needed immediate resolution.


Mentor Mode for Guided Collaboration

Another important feature was mentor integration.

Mentors could join the workspace directly, observe what teams were building, and provide guidance in real time.

This made mentorship more interactive:

  • debugging could happen live,
  • architectural suggestions could be given immediately,
  • and teams could get feedback without breaking their flow.

Instead of mentorship happening in scheduled check-ins, it became part of the development process itself.


Tools, Support, and Buildathon Environment

During the event, we also got exposure to observability and debugging tools like Sentry, along with credits that helped teams experiment quickly.

The environment encouraged rapid prototyping,not polished production systems, but functional ideas built under pressure.

That setup aligned perfectly with the challenge: build something useful in a very short time window.


Outcome and Ranking

By the end of the buildathon, our project ranked 3rd overall.

But more importantly, we managed to turn a constraint into a product idea and build a working prototype within the limited time.


The one-hour constraint was not just part of the challenge it shaped the direction of the idea itself.

It highlighted how much of development time is often lost not in writing code, but in coordinating work between people.

Cursor for Communities emerged from that realization: that collaboration tools matter just as much as coding tools, especially when time is limited.