SprintLoop SDLC

AI-native, fully-governed Software Development Lifecycle for agentic engineering teams.

Overview

SprintLoop SDLC provides the governance, workflows, approvals, and multi-model orchestration needed for enterprise-grade AI development.

Features

• AI-governed branching and versioning
• Model-to-model dependency tracking
• Artifact lineage + audit
• Multi-model build pipeline
• Enterprise workflow controls

Quickstart

from sprintloop import SDLC

sdlc = SDLC()

release = sdlc.release(
    name="v1.0",
    components=["agents", "workflows"],
    description="Initial AI-governed release"
)

print(release.status)