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    Governed AI software delivery

    You write the tickets.
    The factory opens the pull requests.

    AI agents pick up each ticket and return a tested pull request through the delivery process you already have. Our engineers work alongside your team, and we measure the results against your own baseline.

    One delivery process
    A supervisor and AI workers
    Add workers to meet your demands
    Works with
    • GitHub
    • GitLab
    • Jira
    • Linear
    • Slack
    Your toolsYour Git platform, tracker and chat
    Your modelsYour accounts and keys
    Where it runsYour AWS or Azure account, or Reign Dedicated
    Who approvesYour reviewers, every merge
    We use Reign Factory to build Reign · 28 September to 28 October 2026

    One month of our own engineering.

    • 1,148Pull requests merged in Thrive, our quote-to-order app.
    • 21 minutesMedian time from opening a pull request to merge.42 minutes for core changes
    • 94%Core changes merged with approval recorded from a named iTmethods engineer.485 of 514 core changes

    514 core changes (server, data and money path)634 UI, docs and help changes

    Our own environment, a two-person team. Not a customer result. How we counted →

    Use cases

    What it works on.

    Roadmap backlog

    Defined work waiting for engineering time.

    How the work flows →

    Security remediation

    Findings turned into fixes, one pull request each.

    Remediation →

    Upgrades

    Dependency, framework and platform upgrades.

    Upgrades →

    Migrations

    Repeatable change across a codebase.

    Discuss a migration →
    How it works

    How the work flows.

    1. 01 · YouTicket

      In your tracker or your Git platform

    2. 02 · YouRules you set

      Which work qualifies, and who approves

    3. 03 · ReignSupervisor

      Triages tickets and manages worker identity

    4. 04 · ReignBuild and test

      AI workers, one ticket each, worked in parallel

    5. 05 · ReignFix and re-check

      Failures fixed, checks run again

    6. 06 · YouPull request

      Opened in your repository, checks and findings attached

    7. 07 · YouYour approval

      Your reviewers decide what merges

    8. 08 · YouYour release

      Your pipeline ships it

    Your source control, pipeline and approval policy stay where they are. Add workers in packs of five as the work grows.

    When it cannot converge. If the factory cannot reach a change worth reviewing, it reports that rather than opening a pull request to show activity.

    Works with your SDLC tools: GitHub, GitLab, Jira and Linear. Tickets in from your tracker, pull requests out to your repository. Your CI/CD runs on every change. Custom integrations available.

    What your reviewers see

    Your reviewers see a pull request, not a promise.

    Checks attached, findings attached, named approver. Nothing merges without your approval.

    Why review is the constraint

    Published findings on engineering capacity and AI-assisted development.

    Read together, the four findings below locate the constraint: the code got faster and the release did not, because the bottleneck moved downstream into review. That is the constraint Reign Factory is built around, one pull request per item, checks that report rather than gate, and a named approver who decides what ships.

    What is measuredWhose figure, and when
    At the median organization, roughly 42% of engineering time goes to maintenance, support and bug fixes. Organizations with more than 2,500 engineers are the worst.DX, Core 4 Innovation Ratio benchmark. 500+ companies, 200,000+ data points. Undated benchmark.
    More than half of all code is now AI-generated, up from 34% one quarter earlier. Over the same period the Innovation Ratio (the share of time on new capability) stayed flat.DX, The State of AI Impact in Engineering, Q2 2026, 22 July 2026. 500+ organizations.
    AI-assisted development shows a 35 to 40% productivity gain on simple, greenfield tasks, and around 10% or less on complex legacy code.Stanford University (Denisov-Blanch et al.), cited in Google / DORA, The ROI of AI-Assisted Software Development, 22 April 2026. Telemetry from approximately 100,000 developers.
    Individual developers using AI complete more tasks and merge more pull requests. Across whole companies there was no significant correlation between AI adoption and improvement.Faros AI, The AI Productivity Paradox, 23 July 2025. 1,255 teams, 10,000+ developers, telemetry rather than survey.

    Each figure comes from a named external source and retains its date and population. None of the figures above is an iTmethods measurement.

    Compare approaches

    Reign carries the work. You keep the choice.

    ApproachReign FactoryFrontier AI providersAI coding platformsBuild it yourself
    Build and maintain the factoryReignkept current as AI technologies changeYouYouYou
    Adoption and supportReignour engineersYouYouYou
    Run it 24×7ReignVendorthe model onlyVendorthe product onlyYou
    Who chooses the modelYoufrontier models, your keysVendortheir models onlyVendortheir supported listYou
    Your SDLC tools and custom integrationsReignGitHub, GitLab, Jira and LinearVendortheir connectorsVendortheir supported listYou
    Where your code goesYouyour cloud, your keysVendorVendorYou
    Evidence you own, every changeReignin your own toolsVendorusage in their consoleVendoraudit logs in their productYouyou assemble it

    Category comparison of approaches, not a claim about any named product.

    Governance, built in

    Open by design. Your models, your data, your choice.

    Use frontier models on your own accounts and keys. Every change lands in your repository for your team to approve, and you can swap models without changing how the work is governed.

    Reign Gateway on model calls

    One governed path to the models your teams use. Reign Gateway →

    Evidence in your own tools

    A live Factory dashboard shows the work in progress, and the same telemetry goes to your collector.

    Responsibility

    Who does what.

    AreaReign and our engineersYour team
    The serviceRuns, monitors and upgrades the service, 24×7.Your Git platform and tracker, and your own model accounts and keys.
    The rulesConfigures agents, models, checks and stop rules.Sets the rules and classes of work.
    The workThe factory works tickets and opens pull requests.Writes and prioritizes the tickets.
    Review and releaseOur engineers coach your team.Reviews and approves every merge. Runs QA and releases through your own process.
    Getting started

    The first 90 days.

    Days 1 to 30

    The launch

    Connect tracker, repository and checks. Set the rules. First pull requests reviewed.

    Days 31 to 60

    Steady flow

    Configured workflows run every day. Engineers tune the rules with your team.

    Days 61 to 90

    First health check

    We compare delivery speed and rework with your baseline, plus model cost per merged change. Then we keep checking.

    How you buy it

    One subscription per delivery process.

    Included

    A supervisor with five AI workers, operation 24×7 and engineer hours.

    Scale

    Add workers in packs of five.

    Reign Gateway on model calls

    Included: guardrails, cost controls, a record of each call.

    Engineers beside your team

    Our engineers work alongside your team and coach it.

    FAQ

    Questions buyers ask

    Does it replace my engineers?

    No. Agents do the assigned work and open pull requests. Your reviewers approve every merge, and our engineers work beside your team.

    Where does my code go?

    It stays in a dedicated, single-tenant instance in your AWS or Azure account, or on Reign Dedicated. Workers copy it into a container you define with us, destroyed when the work is done.

    What if an agent gets it wrong?

    Agents run your checks and fix failures before a pull request opens. If an agent gets stuck, a limit stops it. Nothing merges without your approval.

    How do I see what it does?

    Every change arrives as a pull request with check results. A live Factory dashboard shows the work in progress, and the same telemetry goes to your collector.

    Next step

    Start with a 30-minute delivery briefing.

    Bring one piece of work you want to advance.