Ready to deploy Context engine for software development & governance.
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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.
Requirements, design, and code drift over time
Governance depends on manual reviews and audits
Limited alignment across tools and teams
Quality and compliance issues surface late
Continuous, not episodic.
As SDLC artifacts evolve, Cubyts continuously interprets changes against approved intent, validates alignment, detects gaps, and explains why they matter — applying compiler discipline to the lifecycle.
Ingest
Capture authoritative SDLC signals from systems of record — requirements, design, source control, releases.
Parse
Convert raw artifacts into structured context — typed artifacts, explicit relationships, temporal states.
Validate
Apply deterministic rules across dependency integrity, ownership boundaries, and known drift patterns.
Flag
Surface structural misalignment anchored to concrete artifacts, not subjective assessments.
Learn
Refine context without altering source artifacts. Improve precision over time.
What the platform does.
Continuous alignment
A live SDLC Context Graph that connects requirements, code, tests, documentation, and releases — and the relationships between them.
Drift detection
Detects divergence between intent and execution as artifacts evolve. Flags orphaned changes and missing traceability early.
Governed AI reasoning
Validates artifacts against the context graph and enterprise benchmarks before invoking models — turning LLMs into governed reasoning engines.
Audit-ready traceability
Every requirement, code change, test, and release is connected. Audit readiness becomes a continuously evaluated state.
In-place delivery
Insights appear inside the tools your teams already use. No new workflows. No additional gates.
Enterprise governance
Single-tenant deployment, fine-grained access controls, and read-only or controlled-action modes across systems.
Continuous oversight, agent by agent.
Cubyts agents observe live SDLC signals across delivery, code, and documentation — surfacing risk where it emerges and giving third-party AI coding agents the context they need to operate safely.
Process Guardian
Keep delivery workflows disciplined without slowing teams down.
Monitors how work flows across tickets, reviews, approvals, and releases. Detects when execution drifts from expected delivery practice — while work is still in progress, not at audit time.
Explore agent →Feature Quality
Keep feature delivery healthy from planning to release.
Evaluates the signals surrounding a feature as it moves from requirement to implementation. Surfaces early warnings when a feature is under-specified, under-tested, or drifting from intent.
Explore agent →Code Sentinel
Detect risky code patterns before they become technical debt.
Observes commits, pull requests, and reviews to identify changes that introduce maintainability risk, weak review patterns, or shortcuts that erode code quality over time.
Explore agent →Doc Assurance
Keep delivery documentation complete and aligned with execution.
Checks whether the documentation needed for development, review, and release is present and current. Detects when written context falls behind the work being done.
Explore agent →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
What changes for the enterprise.
Predictable delivery with fewer late surprises
Strong governance without added process overhead
Reduced rework and audit effort
Clear, lifecycle-wide alignment of SDLC health
See continuous oversight in your SDLC.
Walk through the platform on a sandbox or scope a deployment with our team.