Shipify - Pro Development Agent

Inspiration

Developers spend more time managing tools, pipelines, and deployments than actually building. We wanted to change that — not with a copilot, but with a fully autonomous agent that thinks, builds, and ships on its own.

What it does

Shipify is a self-improving autonomous development agent. It scaffolds projects, writes code, runs pipelines, and deploys to production — all without human intervention. Powered by Kimi K2.5 via TrueFoundry, it orchestrates:

Kiro CLI for project scaffolding
Ghost CLI for deployment
Airbyte for data pipelines
Macroscope for codebase intelligence

How we built it

Built on OpenClaw with LangGraph powering the agent's decision graph and state management. TrueFoundry acts as the model gateway routing to Kimi K2.5, MiniMax M2.5, and Devstral as fallbacks. Each tool (Kiro, Ghost, Airbyte, Macroscope) is exposed as a node in the LangGraph workflow. Redis-backed memory enables cross-session learning and self-improvement. Slack is the primary human interface.

Challenges we ran into

Reliable tool-chaining across Kiro → TrueFoundry → Ghost in sequence
Managing LangGraph state across long multi-step autonomous runs
Keeping self-improvement loops scoped without goal drift
Preventing over-triggering of deployments without proper guardrails

Accomplishments that we're proud of

✅ Fully autonomous ship-to-deploy cycle with zero manual steps
✅ LangGraph orchestration handling complex multi-tool workflows
✅ Self-improving Redis memory that gets smarter across sessions
✅ Multi-model fallback ensuring near-100% uptime

What we learned

Autonomous agents need guardrails as much as capabilities. LangGraph taught us that structured state machines are essential for reliable agent behavior. The hardest part isn't giving an agent tools — it's defining when not to use them.