Question 1

What is an Infrastructure Knowledge Graph (IKG) and why does it matter for agentic operations?

Accepted Answer

An IKG is a unified graph of your cloud, configs, CI/CD, APIs, and policies. It matters because it gives agents a single grounded source to reason from, which is what makes their infrastructure operations consistent, explainable, and safe.

Question 2

What is Agentic GitOps and how does DartIQ Matador enable it?

Accepted Answer

Agentic GitOps is GitOps where governed agents propose, review, and reconcile changes through Git as the source of truth. Matador enables it by tuning agents to your rules and recording every action in the Ledger for full traceability.

Question 3

How does Matador automate Infrastructure as Code (IaC) review and governance?

Accepted Answer

Matador's Infra Ops agents reason over your Infrastructure Knowledge Graph to review IaC against policy, FinOps, and security rules automatically — flagging violations and proposing fixes before changes reach production.

Question 4

What is human-in-the-loop SDLC and why does it matter?

Accepted Answer

Human-in-the-loop SDLC keeps engineers as the decision authority at each gate while agents do the heavy lifting. It matters because it preserves accountability and judgment where AI is least reliable, driving code drift toward ~0%.

Question 5

How does Matador handle SOC 2 compliance in AI-generated code?

Accepted Answer

Every agent decision is recorded in the Agent Ledger 360 — queryable and defensible — so controls, approvals, and evidence for SOC 2 and similar frameworks are produced by the workflow itself rather than reconstructed after the fact.

Question 6

How is DartIQ Matador different from AI coding assistants like Copilot or Cursor?

Accepted Answer

Copilot and Cursor accelerate an individual typing code. Matador is a governed engineering system: it grounds agents in your environment, enforces standards across the full value chain, and logs every decision for audit — control, not just autocomplete.

Question 7

How does Matador enforce coding standards and governance across teams?

Accepted Answer

Standards, policies, and enforcement gates live in the shared Knowledge Graph and run identically on every agent and every team member — same checks, same sequence, zero exceptions.

Question 8

How does agentic AI change software development?

Accepted Answer

Agentic AI shifts engineers from writing every line to authoring requirements and architecture, while governed agents execute. Done inside a harness, this delivers software roughly 10x faster without sacrificing determinism or auditability.

Question 9

What is code drift and how does Matador prevent it?

Accepted Answer

Code drift is when AI output gravitates toward its training data instead of your security policies, coding standards, and compliance scope. Matador prevents it by enforcing personas, standards, and PoC walkthroughs before the model writes a single line.

Question 10

How does DartIQ Matador reduce AI hallucinations in code?

Accepted Answer

Matador grounds every agent in your Knowledge Graph and enforces multiple validation gates per run, so claims about APIs, dependencies, and versions are checked against reality before code is merged — cutting hallucinations by ~95% in our internal builds.

Question 11

What is Harness Engineering?

Accepted Answer

Harness Engineering is the discipline of wrapping AI agents in enforceable guardrails — context, standards, policies, and audit — so their output is constrained to your enterprise requirements instead of improvising freely.

Question 12

What is an Agentic SDLC?

Accepted Answer

An Agentic SDLC is a software development lifecycle where specialized AI agents handle design, development, code review, testing, and release — each governed by your standards and grounded in a Knowledge Graph, with a human in the loop at every gate.

Harness the wild AI to scale from PoC to Production, with control

AI software delivery has three compounding failures

Hallucination

Non-Determinism

Code Drift

AI Harness Engineering System for your SDLC, Dev-Sec Ops & Infrastructure Ops

Design Thinking + Harness Engineering

Brain aka the Knowledge Graph

Agent Ledger 360

Four steps. Each compounds the next.

Build the Context

Infrastructure built for control

Agents that know your rules

Every action. Logged. Defensible.

The First Client: Ourselves.

Infrastructure Ops Modernization

Product Engineering Services

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See Matador in action.

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Frequently asked questions