Learn how to run AI agents in parallel
Concrete answers to the questions developers actually search for: parallel Claude Code, team workflows, autopilot, cost control, and how it all fits a kanban board.
Run agents in parallel
- How do you run Claude Code in parallel?Run multiple Claude Code sessions at once, each in its own git worktree. The exact mechanics of parallel agent execution, and how KanBots makes it a one-click workflow.
- Can Claude Code work on multiple tasks at the same time?Claude Code is single-process by default. Here is how to put it on N tasks simultaneously without race conditions, using worktrees and a kanban dispatcher.
- How do you use git worktrees with Claude Code?A walkthrough of the git worktree pattern that unlocks safe parallel coding agents: branch isolation, no working-tree contention, and clean promote-to-PR.
- How do you spawn multiple coding agents from one machine?Practical guide to running 2, 4, or more autonomous coding agents on a single developer machine without conflicts: process isolation, cost control, and a board to track them.
- How do you parallelize AI coding agents safely?The three failure modes of naive parallel-agent setups (worktree clobber, label drift, cost runaway) and the patterns that solve each one.
Team & GitHub workflow
- What is the right AI coding agent setup for a team?A shared board, threaded runs, and bring-your-own-keys: why solo IDE agents do not generalize to teams and what the team-first pattern looks like.
- How do you assign GitHub issues to AI agents?Turn a GitHub issue into an agent run with one click. The label conventions, worktree-per-issue model, and how the agent reports back via decisions and PRs.
- What is an AI agent kanban board?A kanban whose cards are running AI agents. How status columns map to agent lifecycle, what live updates look like, and why this beats issue trackers + a separate agent IDE.
- How do you build an AI agent task queue?Queue → in-progress → review → done, with cost caps, decision prompts, and per-slot parallelism. The plumbing of a real task queue for agents instead of a request/response chatbot.
- How do you orchestrate Claude Code across a team?Centralize Claude Code dispatch behind a shared board: who can start agents, who reviews, where decisions go, and how cost rolls up per project.
Specific use cases
- How do you automate backlog triage with AI agents?Point an agent at a column of unrefined tickets and let it split, estimate, label, and propose owners. The exact persona setup for triage autopilot.
- Can you use an AI agent to triage Sentry issues?Auto-import Sentry error groups onto a kanban board, hand each to an agent for root-cause analysis, and promote the fix as a PR. End-to-end walkthrough.
- How do you build an AI agent PR review workflow?A reviewer persona reads the diff, runs the tests in its own worktree, and posts a structured verdict. How to wire it into your existing GitHub flow.
- Can AI agents handle tech debt cleanup?A pattern for dispatching dozens of small refactor agents in parallel, each scoped to one file or module, with QA autopilot guarding the merge.
- How do you run AI agents in the background on GitHub issues?Hand a folder of issues to autopilot and walk away. How sub-issue splitting, slot parallelism, and self-checking keep the work moving without your eyes.
Autopilot & cost control
- What is autopilot mode for Claude Code?Autopilot picks personas, parallelism, and budget. It loops until the work converges or the cost cap hits. The mental model and when to use it.
- How does multi-persona AI agent orchestration work?Product author → engineer → reviewer → tester. How round-robin persona cycles produce better output than single-persona loops, and how to configure them.
- How do you put a budget cap on AI coding agents?Per-run cost tracking, per-card rollups, per-autopilot-session caps. Stop runaway spend before it stops you.
- How do AI agents fit a feature-branch workflow?One agent → one branch → one PR, isolated by worktree, with pre-push hooks preventing agent-side pushes. The exact branch naming and promote flow.
- Can an AI agent backlog evolve itself?When personas split a parent issue into subtasks, the backlog grows. How to keep that growth productive instead of runaway.
Alternatives & integrations
- Is there a self-hosted Devin alternative?Local-first parallel agents, bring-your-own model keys, your code never leaves your machine. How KanBots compares to managed agent platforms like Devin.
- Is there an open-source Cursor alternative for team agents?Cursor is solo and in-editor. KanBots is team and board-first, MIT-licensed desktop, with Claude Code or Codex as the agent runtime.
- Claude Code vs Codex CLI — which should you run in parallel?A side-by-side of strengths, stream formats, and tool support. How KanBots speaks both behind one adapter so you can mix them on the same board.
- What is the best AI coding agent setup in 2026?The four traits that matter in 2026: parallelism, locality, decision transparency, and bring-your-own keys. How to evaluate options against this rubric.
- Is there an MCP server that orchestrates Claude Code?Expose your kanban over Model Context Protocol so any MCP-aware client (Cursor, Claude Desktop, custom) can drive agent runs from natural language.