For Software Engineering

Let AI work on your codebase. Keep control of what it can do.

Connect AI to your engineering systems while controlling what it can read, change, merge, and deploy. Protect production. Prevent unauthorized actions.

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Connect AI to your dev stack

Policy on every request. A record of every decision.

Dtwo evaluates every request before it reaches your systems. Agents can read and change only what you allow. Every decision is recorded.

  1. Prompt Trace this payment error to code.
  2. Tool call github_search_code
  3. Dtwo policy no rule matched No policy restricts this request.
  4. Decision ✓ Allowed Read passes. Failing code path found.
  5. System GitHub Request delivered.

Engineering policy bundle for Jira Engineering policy bundle for Linear All policy bundles in the Policy Catalog

AI is powerful when it can work in your codebase

Chat-only AI still leaves the work to you. Connect AI to your engineering systems and it can search code, trace incidents, draft fixes, and update tickets. Dtwo controls what it can do.

Engineers

Investigate bugs and draft fixes with AI.

Search code, trace issues across tickets and docs, and draft the fix. Open pull requests without merge rights.

SREs

Triage incidents with live data.

Query logs, review incidents, and update runbooks without allowing deploys, rollbacks, or destructive changes.

Platform & Security Teams

Set the rules once. Enforce them everywhere.

Control what AI can read, change, merge, and deploy. Require approval for production actions. Record every decision.

See every agent action and why Dtwo allowed, blocked, or redacted it.

See who made the request, which agent and tool acted, what system it reached, and which policy decided the outcome.

Dtwo Hub
Dtwo Hub dashboard: allow, deny and redact totals for the month, the users, clients, MCP servers and tools behind them, and recent events with the policy reason for each decision

Setup

Protect your dev stack in three steps.

  1. 15 min · admin

    Create your account

    1. Create your account with your work email.
    2. Name the workspace after your team, for example acme-eng.
    3. Follow the guided setup to create the team's gateway.
  2. 30 min · admin

    Connect your dev systems

    1. In the Hub, open Gateways, then your gateway, then Configuration.
    2. Add an MCP server for each system your team uses. Each guide covers the OAuth app and the gateway entry: GitHub Atlassian Linear Datadog Splunk
    3. Click Deploy to apply the configuration.
  3. 10 min · admin

    Install the engineering policy bundle

    1. Go to your gateway, then the Policies tab.
    2. Click Add policies and select the Catalog tab. Under Bundles, pick Engineering Stack Jira or Engineering Stack Linear.
    3. Select the policies you want to install, then click + Add Policies.
    4. Click Save changes, then Deploy.

Deploy with confidence

Good policy unlocks AI adoption.

Free to start. Connect one repo and one chat tool, try the incident triage, and decide from there.

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Get in touch

Tell us what you need to govern.

A few lines is plenty — what you're deploying, and what you need control over. We read every one.