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Continuumship
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Meet the SDLC Studio

Keep your stack. Upgrade how you ship.

Continuumship connects to the tools your teams already use, runs the delivery process you define — with people and agents — and keeps the evidence for every decision.

A thirty-day pilot on one Area of your stack.

The Flow Board: every card says who it waits on, and why.
  1. Verified by Continuumship
  2. Waiting on: review · 3 h 42 m
  3. Guardrail passed · 2 approvals

Works with Jira, Linear, GitLab, GitHub, Jenkins, Argo CD, Slack, Microsoft Teams, Okta, LaunchDarkly, Sentry, Grafana — and the pipeline somebody wrote in 2019.

Your teams keep the tools they chose. Continuumship holds the process between them — who decided, what was checked, what an agent did — as one record nobody has to reconstruct.

The continuum

Follow one change from intent to release.

One work item, as Continuumship sees it. Every station adds a line to the same record.

  1. An intent someone accepted

    The work starts as a sentence a person with the authority accepted, not a ticket somebody typed. Who accepted it, and when, is the first line of the ledger.

  2. A brief that says what done means

    Acceptance criteria, the change risk from named rules, and what the change touches in your system graph — settled before anyone writes code.

  3. Built on your runner

    An agent drafts the change on your own machines, under the brief. The tests and the checks its risk asks for run there too, and its usage counts against the item's budget.

  4. Reviewed by the people the rules name

    The guardrail asks for two approvals because the change touches payment-api and a consumer another team owns. Both are recorded, with the reason they were asked for.

  5. Released under a guard

    The rollout widens only while errors stay within bound, measured at the source. The evidence chain closes on its own: every link, from the intent to the rollout.

One control plane

Connect. Orchestrate. Improve.

Nothing is replaced on day one. Your process runs across the tools you keep, with your people and your agents, and every decision leaves evidence.

  1. Connect everything

    Jira, GitLab, GitHub, your pipelines, your clouds and your identity provider — each capability answering in one of eight support states before you rely on it.

  2. Orchestrate people and agents

    Stages, steps and reusable subflows. Approvals with separation of duties. Agents that work on your runners under a brief a person approved.

  3. Guardrails no team can remove

    Rules tried in shadow, then enforced at every run, step, approval and release — each decision recorded and explained.

  4. Evidence for every release

    From the intent as accepted to the outcome as judged, every link present — and an attestation your cluster can require.

  5. Your models, your budgets

    Route work to the model your rules allow, see what every run used per work item, and stop a run before it breaks a budget.

  6. See how you ship

    Read your history, discover the process your teams really follow, and see where time waits — before you change anything.

  7. Know what a change touches

    Interfaces, consumers and owners across your systems, three hops out, in every brief before the review starts.

The record

Every work item keeps its whole continuum.

Every transition is a ledger row. An auditor can reconstruct a lifecycle; an agent receives the same context a person sees.

What the ledger holds

  • Who owns the next action
  • How long it waited, and on whom
  • Active time against waiting time
  • What was approved, against which design-system version
  • What an agent did, and what was verified
One ledger row: the transition, its duration, who it waited on, and why.

As code

Your process as code — reviewed, versioned, managed from your own agent.

Flows, rules, routing and budgets are definitions in your repository. Every change is a plan a person approves before it applies.

Set up forty projects the way you set up one

  • Definitions live in your repository and your pipeline syncs them
  • Every change is a plan, decided before it applies
  • Discovery reads your repositories and proposes the setup
  • Drift is shown the moment it appears
  • Your agent proposes over MCP; a person decides
A flow definition beside the change set it becomes.

Trust

Your code stays yours.

Runs execute on your machines. The platform holds the process, the decisions and the evidence — never your source.

  • Runs execute on your machines, in an isolated worktree, under a signed brief
  • Source, diffs, secrets and model transcripts never leave them
  • Row-level isolation on every tenant table
  • A hash-chained audit log, streamed to your SIEM
  • Compliance and reconstruction packs an auditor can take
  • Every class of data placed where you decide

Adoption

Adopt one Area at a time.

A rung is earned by evidence from your own work, and every rung works without the rungs above it. Your core banking can stay on the first while your marketing site is on the last.

  1. Connect

    Reads your tools' metadata. Changes nothing.

  2. Observe

    Shows how you ship, and tries your target process in shadow.

  3. Recommend

    Agents triage, refine and pre-review — read-only.

  4. Prepare

    Agents prepare changes on your runners; a person approves each brief.

  5. Execute

    An approved plan builds, verifies and releases under your gates.

  6. Delegate

    Standing approvals for named work, kept only while the record stays clean.

By design

What you can count on.

0
lines of your source code stored by us
1
record per work item, from intent to measurement
8
support states every capability answers in
4
plans, from one person to a regulated enterprise

Design how your company ships software.

Start with a thirty-day shadow pilot on one Area: connect, observe, read the report together, decide.