Parallel agentic software development uses separate agents, branches, worktrees, or environments so independent assignments can progress at the same time. Each session should have a narrow task, relevant context, isolated changes, and a reviewable output.
Concurrency increases integration risk. Tasks must avoid overlapping ownership, share compatible assumptions, preserve the base state, and pass combined tests and review before changes are merged or published.
ELI5
Parallel agentic software development uses several AI agents at the same time on separate parts of one software project. The work must be divided clearly so the agents can make progress without overwriting or contradicting one another.
For example, one agent can build a search feature while another writes its tests and a third reviews security. Their work still needs to be combined carefully and tested as one complete system.
Why use isolated worktrees for parallel agents?
Worktrees separate branches, files, build state, and changes so agents can work concurrently without overwriting the same checkout.
What must happen before parallel agent changes are combined?
Reviewers should check scope, overlap, conflicts, shared assumptions, migrations, tests, build output, integration behavior, and project standards.
