Build AI into the development lifecycle
Govern reusable skills. Keep engineers in control.
It helps teams apply AI consistently across software delivery, with reusable project skills, governed access to tools, and human review at the points that matter.
The goal is practical: carry work from project context to reviewable requirements, plans, and code while making the way AI is used more visible and repeatable.
From project brief to reviewable change
A delivery workflow can turn meeting notes and agreed scope into business requirements, user stories, and an implementation plan—giving teams a structured starting point for the work.
AI can assist with implementation and prepare code changes for engineering review. Teams can review intermediate work as it moves through the lifecycle and remain responsible for acceptance and release.
Reusable skills, grounded in project practice
Skills capture how a team wants work done: coding standards, development conventions, role-specific guidance, and task workflows. A shared, governed library makes approved skills easier to reuse across relevant projects instead of recreating instructions from scratch.
Project-level access and governance help define which people can use the available skills and tools. Visibility into AI usage supports oversight; the exact controls depend on the project environment, licensing, and policy.
Human review remains part of the workflow
AI may draft a requirement, plan, or code change, but people review and approve the handoffs that affect what happens next. Engineering teams remain responsible for the quality, acceptance, and release of their work.
What leaders ask about Arc
Practical answers to the questions that often shape the first conversation.
What is Arc?+
Arc is Bristlecone’s AI development lifecycle foundation. It supports AI-assisted software delivery through reusable project skills, governance, and human review across stages such as requirements, planning, and implementation.
How can Arc support software development with AI?+
A governed workflow can use project context to help draft requirements, user stories, and implementation plans, then assist with code prepared for engineering review. The specific workflow depends on project tools and policies.
What are reusable skills in Arc?+
Skills are reusable instructions that describe how work should be done—for example, a project’s coding standards, conventions, or task-specific guidance. They help teams apply established practices consistently when using AI.
Does Arc make software changes without engineer review?+
Arc supports AI-assisted work with review and approval points. Engineers remain responsible for evaluating requirements, plans, and code changes and for accepting and releasing the work.
Which models and tools can teams use with Arc?+
Available models and tools depend on the project’s approved environment, licensing, architecture, and data policies. The scope is defined for the work rather than assuming every tool or model is available everywhere.
How does Arc relate to Core?+
Arc supports a governed AI development lifecycle. Core is the Shared Intelligence Layer that organizes business meaning and context. They serve distinct roles and can complement one another when both are useful.