The Platform

Structural understanding across the SDLC.

Each enterprise SDLC system — planning, source control, CI/CD, test, documentation — is effective within its boundary. The problem emerges between them.

Cubyts maintains a living model of the software system as it evolves: the SDLC Context Graph. It preserves what is otherwise lost across system boundaries.

Capabilities

How Cubyts works.

Every workspace gives you six dials: connect your SDLC tools, switch on guardrails and task agents, decide what shows up in governance reports, tune how health scores are calculated, and expose context to the AI agents of your choice through MCP.

SDLC Tool Integrations

Connect Cubyts to the planning, source control, CI/CD, test, and documentation tools your teams already use — Jira, GitHub, GitLab, Azure DevOps, Confluence, and more. One unified context layer across your toolchain.

Configurable Guardrails

Set up Process, Feature, and Code guardrails that continuously enforce delivery workflows, approvals, and quality standards. Detect deviations early — with auto-resolution where possible.

Activatable Task Agents

Turn on the agents you need — Rules Generator, Bug Triage, PR Commenter, Spec and Test Case Generators, File Explorer — to automate repetitive SDLC work and feed context to AI coding assistants.

Output Visibility Controls

Choose which health categories (PRD, Epics, Sprint, Repo, Domain Impact) and which reports appear in Delivery Health and Governance views — tailored to each workspace.

SDLC Health Configuration

Define how delivery health is calculated across Planning, Requirements, Development and beyond. Tune weightings, pick the agents and flags that impact each score, and align scoring to how your org measures quality.

MCP Access for Your Agents

Expose Cubyts' SDLC context through MCP so the AI agents of your choice — Cursor, Claude, Copilot, internal agents — can ground their work in real system understanding.

Guardrails

Three guardrails. Always on.

Activate Process, Feature, and Code guardrails from your workspace. Each one runs continuously against live SDLC signals — catching deviations early and resolving them automatically wherever possible.

Guardrail

Process Guardrail

Ensures delivery follows defined workflows, approvals, and governance standards.

Continuously checks how work moves across planning, review, and release stages. Flags missing approvals, skipped checkpoints, and workflow drift while sprints are still in motion — with auto-resolution where possible.

Guardrail

Feature Guardrail

Keeps features aligned with intent from requirement to release.

Watches the signals around each feature — acceptance criteria, linked work items, test coverage, documentation — and warns when a feature is under-specified, under-tested, or drifting from what was originally scoped.

Guardrail

Code Guardrail

Holds the line on code quality across every change.

Observes commits, pull requests, and reviews to catch risky patterns, weak review behaviour, and shortcuts that accumulate into technical debt. Enforces architectural and convention rules without slowing the team down.

Task Agents

Activatable task agents.

Switch on the task agents your teams need — from rule generation and bug triage to spec, test, and PR automation. Each agent operates on Cubyts' live SDLC context, so its output is grounded in your real system, not generic templates.

Task Agent

Rules Generator

Extracts conventions, dependency patterns, and change-coupling signals from your codebase and turns them into agent-ready rules — so AI coding tools stay aligned with how your system actually works.

Task Agent

Internal Bug Triage

Classifies, deduplicates, and routes internally reported defects against the live SDLC context — pointing each issue to the right code area, owner, and likely root cause.

Task Agent

External Bug Triage

Processes customer-reported issues from support and incident systems, correlating them with recent changes, releases, and known risk areas to accelerate response.

Task Agent

PR Commenter

Reviews pull requests against rules, dependencies, and feature context. Surfaces missing tests, impact warnings, and convention breaks directly in the review thread.

Task Agent

Functional Spec Generator

Drafts functional specifications from epics, tickets, and linked artifacts — keeping requirements traceable to the code and tests they drive.

Task Agent

Tech Spec Generator

Produces technical design notes grounded in the dependency graph and existing system patterns, so proposals account for real downstream impact.

Task Agent

Test Case Generator

Generates test cases from acceptance criteria and code changes, helping teams close coverage gaps before release without manual scaffolding.

Task Agent

File Explorer

Lets agents and engineers navigate the codebase through Cubyts' context — by feature, dependency, or risk area — instead of file trees alone.

Integrations

Works with your existing stack.

Cubyts connects to your tools in read-only or controlled write modes. It observes activity, builds context across systems, and ensures alignment where teams already work — no tool replacement, no process disruption.

Planning & Work Management

Jira, Azure Boards

Source Code & Version Control

GitHub, GitLab, Bitbucket

Documentation & Knowledge

Confluence, Google Drive, OneDrive

Design & Product Artifacts

Figma, design repositories

Support & Incident Systems

Jira Service Management, Freshdesk

Outcomes

What changes for the enterprise.

01

Predictable delivery with fewer late surprises

02

Strong governance without added process overhead

03

Reduced rework and audit effort

04

Clear, lifecycle-wide alignment of SDLC health

See continuous oversight in your SDLC.

Engineers: try Cubyts on your stack in a sandbox. Leaders: book a call to scope a deployment.