Major League Hacking and Entire are teaming up for a year of hackathons, DEV Challenges, and a new prize that puts the first Git forge for agent-human collaboration in hackers’ hands

Picture this: you’re 14 hours into a hackathon. You’ve got multiple agents running, you’ve tried three different approaches, and somewhere between your fifth coffee and your tenth prompt, you finally crack it. You’re ready to ship something you’re proud of and you hit your Git platform.

Your code goes through pull requests designed for humans reviewing human-generated code. And when your session ends, everything your agent learned about the project ends with it. The next prompt starts from scratch. Today’s Git forges were built for a human-paced loop, not for developers collaborating with agents.

That's why we're partnering with Entire, the Git forge for agent-human collaboration, founded by former GitHub CEO Thomas Dohmke. Our partnership will help developers across the MLH and DEV community to merge changes as fast as their coding agents create them, and to capture, share, and learn from how they build with AI.

Where AI habits get formed

There's no shortage of predictions about how AI will change software development. We don't pretend to have all the answers, but we have a pretty good idea of where some of them will come from.

Every weekend at hackathons around the world, hackers show up with technologies they've never used and ideas they're not sure how to execute. They try things, break things, learn from each other, and sometimes find approaches that surprise the people who built the tools.

Developers are still figuring out how to work effectively with AI agents. The habits they develop today, the tools they adopt, and the lessons they share will influence how software gets built in the years ahead. We want our community to have a hand in shaping that future, not just adapting to it.

Meet Entire

On October 26, Entire launched the first Git forge built specifically for agent-human collaboration. Here are the highlights:

  • Trails. Unlike the classic pull request model of reviewing code changes with a diff, Trails offers developers a heads-up display similar to an airline pilot, with automated customizable evals that are scored by agents on every code push.
  • Distributed Git hosting. Entire is built on a new source control server compatible with Git, which pushes up to 89x faster than GitHub and 6x faster than Cursor Origin. You can host your repo and replicate it in multiple regions around the world, offering data residency and scale for agentic traffic.
  • Continuous Memory, a new approach for agents and developer teams that sync sessions and prompts into the Git repository, and makes that data constantly available and searchable to coding agents. It includes Graph, which maps how your codebase fits together, and Brain, which turns past sessions into memories your agents can query.

And then there’s Sessions: the open-source Entire CLI saves your agent sessions as checkpoints linked to your commits, so your team can see the prompts and reasoning behind each change. Put together, it’s a Git forge built for the way developers collaborate with agents today.

For a hackathon team racing the clock, that means the ability to reason over the code your agents create so you can merge as fast as they write it, less time re-explaining context to your agents, fewer burned tokens, and a way to show something that’s always been hard to demo: the thinking behind the project.

What MLH and Entire are doing together

Over the next 12 months, Entire will show up across MLH and DEV through hackathon prizes, DEV Challenges, and direct feedback.

A new prize: Best Use of Entire. At 150 MLH hackathons across North America, Europe, and Asia, teams can compete for a prize that rewards smarter AI workflows. Use as much of Entire as you can: Sessions to hand off context to teammates and agents, Graph to map your codebase and cut token usage, Brain so your agents remember past decisions, and Trails to assign and review agent work. Judges are looking for seamless human-AI collaboration, clean code history, and measurable token efficiency. Winners take home a mini portable projector, and MLH staff on-site will help you get set up.

Two DEV Challenges. Not every idea fits in a 36-hour weekend. Entire will sponsor two DEV Challenges where you can explore its tooling at your own pace, build something, and write about what you learned. And unlike a weekend demo, those posts stick around for the next developer to learn from. Themes, dates, and prizes coming soon.

A direct line to the team building the tools. Hackathons are a great stress test. When you've got a weekend to build, you find out fast whether a tool is helping or getting in your way. MLH will work with community members to test Entire's tools and docs, flag friction, and bring that feedback straight to Entire's team. If a tool is supposed to make developers' lives better, developers should have a say in how it works.

None of this starts from scratch. Thomas kicked things off with a keynote at HackGT in September, and Entire joined us for Hacktoberfest 2026, where their team went live on DEV with the community and hackers took home Entire prizes in our Hacktoberfest Open-Source AI DEV Challenges. Now we’re taking it on the road.

Mike Swift, CEO & Co-Founder, Major League Hacking

“When Thomas started Entire, we knew it was a natural fit for our community. At a hackathon you have one weekend to turn an idea into something real, and your agents have to keep up with you. Entire is built for that kind of speed, and it keeps the reasoning behind the code instead of losing it. Hackers are already building on top of it: Abdul Wasih built Viva, a mock interview tool that reads your Entire sessions to find the code an AI wrote, then quizzes you on it. That’s what happens when you put new tools in front of this community. This is a dream partnership for us, and we think capturing how software gets built, not just what ships, will be table stakes for AI coding.”

“Many developers make their start at hackathons, and MLH is among the very best, giving them a third space beyond the classroom or office where they can find community, get hands-on with the latest technologies, and build at the pace of the industry,” said Thomas Dohmke, Entire CEO. “We’re proud to partner with the MLH team to bring our Git forge to the next generation of developers. Many are already agent natives with a new kind of technical leverage. They’ll set the standard for how humans and agents create software together. We built Entire for this new world, and we can’t wait to see what they ship.”

We can’t wait to see what you build. And this time, we might get to see a little more of how you got there.