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Shiptron

In Development

Autonomous multi-agent SDLC

A multi-agent framework that runs the software development lifecycle end to end — planning, building, reviewing, and shipping with a coordinated fleet of AI agents.

AI Infrastructure Changelog Source
Shiptron dashboard: the Kanban board tracking agent work across a project

Key Features

  • Multi-agent orchestration across the full SDLC
  • Specialized agents for planning, coding, review, and release
  • Coordinated handoffs that preserve context between stages
  • Human checkpoints and guardrails you control
  • Pluggable into existing repos, trackers, and CI

Built For

Engineering teams and founders who want agents to own delivery, not just autocomplete

Vision

Most AI coding tools stop at the keystroke. Shiptron runs the whole lifecycle as a coordinated team of agents — one plans, one builds, one reviews, one ships — so a feature moves from intent to release without a human babysitting every step. The framework is the org chart, and the agents are the staff.

The Problem

Shipping software is a relay, and most AI assistants only run one leg of it. The handoffs between planning, implementation, review, and release are where context leaks and momentum dies. A single autocomplete model cannot hold the whole shape of a delivery, so humans end up doing the coordination by hand.

Key Differentiators

  • Whole lifecycle, not one stage: agents cover planning through release, not just code completion.
  • Coordinated handoffs: context is passed deliberately between agents instead of being re-derived each time.
  • Guardrails first: human checkpoints sit at the seams where they matter, not everywhere or nowhere.
  • Framework, not a product silo: brings your repos, trackers, and CI rather than replacing them.