Azure & AWS Cloud Decision System

AI for Cloud Evaluation
that reveals gaps in
Cost

Pre-deployment reviews for Azure and AWS (CloudFormation beta), with evidence-backed reports, diagrams, and agent-ready context across Web, CLI, GitHub, and MCP.

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Cloudeval AI roadmap

Cloudeval AI reviews Azure changes before they ship. Read what Cloudeval AI is for the current product boundary.

See what is shipped today, then where Cloudeval goes next

The roadmap follows the current product surface documented in the capabilities map. Start with the current Cloudeval AI workflow, then follow the planned work below.

Available now

Shipped

Live today: Azure reviews, diagrams, CLI, MCP, and GitHub workflows

Current capabilities include Azure architecture review from the app, terminal, and agent workflows.

Agentic CLI Use Cloudeval and eva for setup, diagnostics, projects, reports, sessions, MCP, billing, and frontend deeplinks.

Cloud Diagrams Explore interactive architecture and dependency diagrams from Azure ARM/Bicep projects, imported templates, and live Azure sync.

MCP Server Let compatible AI agents query Cloudeval project, graph, report, pricing, documentation, and chat context.

Review Reports Run Well-Architected, cost, security, architecture, and ARM/unit-test reports with review-ready evidence and exports.

Diagnostic Chat Ask questions grounded in project resources, diagrams, saved reports, and report history.

GitHub Workflows Import IaC repositories with the GitHub App, sync on push, and use CI/CD checks plus PR comments for review.

Features at a glance

Next up

Bring Cloudeval evidence into VS Code

Bring Cloudeval evidence into the editor so engineers can review ARM and Bicep risks without switching to a separate dashboard.

VS Code Sidebar Browse Cloudeval projects, findings, resources, and reports from a dedicated editor panel.

Inline Diagnostics See ARM/Bicep diagnostics for cost, security, Well-Architected, and policy issues while editing.

CodeLens Actions Explain a risk, open the affected diagram, run an evaluation, or draft a fix from the editor.

Agent Context Connect Cloudeval MCP tools to VS Code agents so answers can use project, graph, and report context.

Planned

Add architecture diffs to existing GitHub reviews

Build on current GitHub import, CI/CD checks, and PR comments with clearer architecture, risk, and cost deltas before merge.

GitHub Review Baseline Use the existing GitHub App import, CI/CD checks, and PR comments as the review surface.

Diagram Diffs Show pull request diagram changes for added, removed, and updated resources.

Risk Deltas Summarize risk, drift, and cost changes so reviewers can see what changed.

Merge Policies Support configurable security, reliability, and spend thresholds for teams that want gated merges.

Planned

Add customer-controlled deployment and model routing

Give Teams and Enterprise a private data plane for source snapshots, cloud evidence, and approved model routing.

Customer-hosted Deployment Run the Cloudeval app and analysis workers inside a customer-controlled network boundary.

Private Data Plane Keep imported GitHub snapshots, cloud sync evidence, generated reports, and artifacts in customer-managed storage.

Custom LLM Gateway Route AI summaries, chat, and review context through an approved enterprise model gateway.

Bring Your Own Key Support customer-owned model keys or identities for organizations with strict AI routing and audit requirements.

Read data boundaries

Planned

Trace drift, exposure, and blast radius

Cloudeval becomes an exploratory workspace for answering what changed, what is exposed, and what depends on it, starting with snapshot history and graph diffs.

Snapshot Drift Compare snapshots to see drift, graph changes, and newly introduced risk.

Blast Radius Trace impact from any resource across dependencies, identities, networks, and data stores.

Risk Paths Follow paths from internet exposure to privileged identity, sensitive data, and cost impact.

Operational Questions Ask what changed, why cost moved, and which resources can reach this asset.

Q4 2026 beta

Beta track

Expand cloud coverage without hiding gaps

Expand beyond Azure carefully, building from AWS CloudFormation beta into broader AWS, Terraform, GCP, Kubernetes, and telemetry work.

AWS Evidence Bring accounts, regions, VPCs, IAM, and security groups into the same evidence graph.

GCP Discovery Add asset discovery for inventory, IAM posture, and resource relationships.

IaC Coverage Keep AWS CloudFormation beta coverage explicit, then expand Terraform and additional provider formats with parser, rule, and evidence labels.

Runtime Signals Attach Kubernetes cost and telemetry signals only where coverage and freshness are visible.

Late Q4 2026

Planned

Turn findings into reviewable fixes

Cloudeval moves from diagnosis to action with fix plans and draft patches that engineers can review, approve, waive, or audit.

Remediation Plans Generate ranked fixes with expected impact, dependencies, and evidence.

IaC Patches Draft ARM, Bicep, and Terraform changes only where Cloudeval can explain them safely.

PR Handoff Prepare GitHub pull request context with generated fixes, report links, and reviewer-ready evidence.

Audit Waivers Track owners, reasons, expiry dates, and exportable evidence for accepted risk.

Cloudeval AI roadmap

Cloudeval AI reviews Azure changes before they ship. Read what Cloudeval AI is for the current product boundary.

See what is shipped today, then where Cloudeval goes next

The roadmap follows the current product surface documented in the capabilities map. Start with the current Cloudeval AI workflow, then follow the planned work below.