Your agents hear what changed under them.

AI agents write code fast, and they often work on the same code at once. gitta tells each agent when another one changed something it relies on, and tests the combined code inside your normal git merge.

What your team gets.

Your agents keep working the way they do today. gitta checks every change and tells each agent what matters to it.

  1. 01Every agent stays informed

    When one agent changes code another agent uses, that agent hears about it at its next step. Nobody has to run a command.

  2. 02Problems are fixed while they are small

    The agent adjusts its own work before the merge, while the change is still quick and cheap.

  3. 03Tested together when you merge

    Every git merge to main runs your tests on the combined work of all your agents, and a merge that fails stops before main changes. Make the gitta check required, and every pull request gets the same test.

What changes with gitta.

Agents already work on top of each other, and their pull requests clash when they meet on main.

79.4%

of AI agent pull requests are open at the same time as another agent’s

Across 33,596 agent pull requests on GitHub. Xu et al., 2026

1 in 4

overlapping agent pull request pairs stop with a conflict in Git

Our replay of 733 real pairs from public GitHub projects. How we measured

Some pairs merge cleanly in Git and still break the build. When two Devin pull requests did that on firecrawl-mcp-server, gitta flagged the pair before the merge. Read the case

Safe, and on the record.

Start with two agents on one laptop.

Install gitta and run one command in your repository. It finds your worktrees and connects to the agents you already use.

gitta’s pangolin at work on a laptop
Technical details in the docs Run parallel Claude Code sessions