Why GitHub should be the source of truth for AI-agent development

A solo developer can now have several parallel workers: an IDE agent, a cloud agent, a visual builder and a production pipeline. Each may hold a different version of the project.

1local != worktree != preview != main != production

GitHub creates a canonical decision chain

• Commits show what changed.
• Pull requests show scope and intent.
• Checks show what was actually verified.
• Reviews separate implementation from acceptance.
• Deploy references connect production to a known commit.

Preflight before code

1pwd2git remote -v3git branch --show-current4git status5git log -1 --oneline

If repository, remote or branch do not match the task contract, the agent should not modify code.

Merge and deploy are separate gates

1const gates = [2  'implementation',3  'review',4  'merge',5  'deploy approval',6  'production verification',7];

As agent count grows, you do not need more realities. You need a clearer one.