Homegrown AI orchestration becomes legacy infrastructure from the first commit. The real cost is senior engineers maintaining undifferentiated plumbing instead of shipping product.
It looks like simple plumbing, so teams underestimate it. Easy-to-start and hard-to-run-right are not the same property.
It starts with one agent. Then model-swapping, permissions, and audit logging. The script became a system you now maintain.
Teams notice too late. You were building a feature, and you woke up running infrastructure.
The maintenance clock does not start at month six. It starts at the first commit.
Source control, CI/CD, observability: the platforms your team runs on are bought, not built. Each is its own infrastructure, demanding dedicated specialists, constant maintenance, and steady innovation to stay current. Agentic SDLC orchestration is that same kind of infrastructure, not a side project.
Works alongside your existing stack instead of forcing a rip-and-replace.
Governance, audit, and cross-system depth are already built and proven.
Get value now while a DIY team spends 6 to 18 months reaching production.
Your moat lives in the product, not in orchestration plumbing.
A tool for code review, another for testing, another for docs. Each siloed, each with its own setup, context, and bill. Overcut runs all of them as orchestrated workflows on one platform that shares context, governance, and models.
