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AI Agent Coding Orchestration Stack

$20/mo

A complete stack for running multiple AI coding agents in parallel with structured workflows, workspace isolation, session traceability, and cross-model code review. Covers the full cycle from task planning through code delivery and audit.

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What This Stack Does

Modern AI-assisted development demands more than a single agent writing code in one terminal. This stack combines specialized tools that handle task orchestration, role-based skill enforcement, session capture, cross-model review, and codebase context management. Each tool addresses a specific layer of the workflow, and together they form a pipeline from project planning through auditable code delivery.

Task Dispatch and Role-Based Workflows

Vibe Kanban serves as the orchestration layer, providing kanban boards where tasks are planned and dispatched to isolated workspaces. Each workspace provisions a Git worktree with its own branch, terminal, dev server, and browser preview. This isolation prevents the file conflicts and port collisions that derail parallel agent sessions, enabling 10+ agents to work simultaneously on different features of the same codebase.

GStack provides the role-based skill layer that turns each agent session into a structured development workflow. Plan-ceo-review evaluates product direction, plan-eng-review locks architecture, and qa opens a real browser to verify changes. The design pipeline with design-consultation and design-shotgun addresses visual quality that pure code review misses. Together with Vibe Kanban workspaces, each parallel session follows a consistent quality process.

Reasoning Audit Trails and Codebase Context

Checkpoints by Entire captures the reasoning behind every agent-generated commit as versioned Git metadata. Transcripts, prompts, files touched, and tool calls are stored on a separate branch, creating an audit trail that answers why code changed rather than just what changed. The rewind capability lets developers restore to any checkpoint when an agent takes a wrong turn, preserving full session context for recovery.

code2prompt handles the context management layer by converting relevant codebase sections into structured prompts that maximize the value of limited token budgets. When agents need to understand existing architecture before making changes, code2prompt generates filtered, formatted context with directory trees and token counting. This prevents the common failure mode where agents make changes that conflict with existing patterns they never saw.

The Bottom Line

The stack works as a pipeline: plan tasks in Vibe Kanban, dispatch agents to isolated workspaces with GStack skills enforcing quality gates, capture reasoning with Checkpoints for team review, and feed codebase context through code2prompt when agents need architectural awareness. Each tool is MIT-licensed and self-hosted, keeping the entire workflow local-first with no cloud dependency required.

Stack Overview

ToolRolePricingOpen Source
Vibe KanbanTask Orchestration and Isolated Agent WorkspacesFree self-hosted, cloud version availableYes
GStackRole-Based Development Skills and Browser QAFree and open source under MIT LicenseYes
Checkpoints by EntireGit-Native Agent Session Traceability and RewindFree and open source CLI; platform features comingYes
code2promptCodebase Context Serialization for Token ManagementFree and open source under MIT LicenseYes