HAR HQ - Build, scale and govern your AI software factory

Hey PH 👋

AI coding is past the pilot phase. The question is no longer whether it works; it's what it returns. And that answer only comes when agentic development becomes repeatable, measurable and systematic across the organisation.

Today we're launching HAR HQ: the way to implement, extend and govern your AI software factory at scale. Whether you're a high-agency startup or a 5,000-engineer enterprise, HAR HQ unlocks velocity without trading away security, policy or quality.

What HAR Enterprise unlocks:

🛡️ Governance that scales without killing velocity. Every agent, in every repo, inherits the same standards by default. Engineering policy, regulatory requirements, security posture — enforced, not documented and ignored.

⏱️ Lower time to merge. Build and scale verification gates agents have to pass inside the loop, before PR handoff. Reviewers stop being the first line of defence.

📈 A stronger team, not just power users. Surface how your power users actually work with agents, then make those patterns the default for everyone else.

💸 RoAI you can defend and forecast. Mission Control attributes units of work in Linear and Jira against real AI spend. When someone asks what the budget bought, you have an answer with a number in it.

Key features:

Scale: HAR is an open-source harness for running fleets of coding agents against a single repository. Deterministic validation gates. Verifiable proof of what each agent did and why it passed. HAR enterprise ensures consistency across every repo

Cloud: Bring your own cloud or host on HAR servers to bring extra compute power and governance to all your engineers.

Plugins: Extend your software factory through plugin and ensure plugins are managed from one central place and adhere to your internal policies and existing configurations.

Mission Control is the team and organisation-wide fabric that sits on top of it. It enables you achieve more at scale.