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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)