Agentic IDE for full-stack delivery
A cloud development environment with embedded specialist agents for coding, refactoring, debugging, testing, and release preparation. Teams move from idea to production with a shared context window instead of disconnected tools.
Deployment blueprint
What teams get on day one
Context-aware completion
Agents read project structure, conventions, and recent edits to generate changes that fit the codebase instead of generic snippets.
Parallel specialist workflows
Spin up dedicated agents for implementation, review, debugging, documentation, or migration while keeping one coordinated operator view.
Integrated validation loop
Run tests, inspect diffs, review logs, and promote changes without switching between separate IDE, CI, and deployment surfaces.
5x
faster issue triage
1 view
code, infra, tests, agents
24/7
specialist assistance
<10m
workspace bootstrap
Trusted across clouds, registries, and toolchains
Choose how you run it
Flexible engagement options
Pick the deployment surface and the level of operator help that matches your team. Switch later as you grow.
Cloud workspace
Browser-based, multi-tenant, autoscaled
- Spin up a workspace in under ten minutes from any laptop or tablet
- Per-seat or per-team billing with workspace pooling for bursts
- GPU-backed agents available on demand for heavy refactors and codebase indexing
- Built-in policy guardrails: PR-only changes, branch protection, secret scrubbing
Air-gapped self-host
Single-tenant, runs in your VPC or on-prem
- Helm chart deploys onto your existing Kubernetes cluster — no outbound internet required
- Bring your own model endpoints (OpenAI Azure, Bedrock, vLLM, self-hosted Llama)
- SAML/OIDC SSO with your IdP; secrets resolved from your Vault namespace
- Audit logs streamed to your SIEM with cryptographic chain-of-custody
Concierge enablement
Hands-on rollout for engineering orgs
- Dedicated onboarding architect for the first 30 days
- Workspace template library tailored to your stack and conventions
- Custom agent prompts trained on your runbooks and golden services
- Quarterly business reviews with adoption metrics and ROI evidence
Self-serve trial
Free 7-day team pilot
- Up to ten seats, all features unlocked, no credit card required
- GitHub/GitLab connector, Slack notifications, and basic agent library
- Community support via Discord and weekly office hours
- Convert to a paid plan with one click — no data migration
Core capabilities
Purpose-built for modern engineering teams
Context-aware completion
Agents read project structure, conventions, and recent edits to generate changes that fit the codebase instead of generic snippets.
Parallel specialist workflows
Spin up dedicated agents for implementation, review, debugging, documentation, or migration while keeping one coordinated operator view.
Integrated validation loop
Run tests, inspect diffs, review logs, and promote changes without switching between separate IDE, CI, and deployment surfaces.
Safe refactoring support
Use AI suggestions to reshape modules, rename symbols, and reduce complexity while keeping behavior checks close to each edit.
Incident-to-fix workflow
Bring alerts, traces, failing commands, and runtime context into the same workspace where the repair is actually authored.
Release readiness built in
Capture changelog notes, deployment hints, and operator runbooks as part of the normal engineering flow rather than after the fact.
Delivery flow
How teams adopt agentic ide
The platform is designed to reduce setup friction, standardize delivery, and give every team a clear operating model from day one.
Bootstrap the repo workspace
Open a preconfigured environment with language tooling, secrets boundaries, extensions, and project instructions already loaded.
Delegate focused work to agents
Assign implementation, review, or debugging tasks while keeping a human operator in control of acceptance criteria and merge direction.
Validate and ship from the same surface
Run checks, inspect output, compare diffs, and hand off to deployment workflows without losing the thread of the original task.
Where teams get stuck
Common challenges — and how we solve them
Challenge
Engineers lose hours per day flipping between IDE, terminal, browser, CI dashboard, and Slack to ship a single feature.
How VxCloud solves it
Agentic IDE collapses code editing, terminal, diff review, test runs, and deploy promotion into one workspace with a shared context window the agents can read.
Challenge
AI code suggestions feel generic — they ignore the codebase’s conventions, naming, and surrounding modules.
How VxCloud solves it
Agents index the repo, recent commits, and your style guide, then ground each suggestion in real project structure rather than training-data templates.
Challenge
Security teams block AI tools because prompts and code may leak to third-party model providers.
How VxCloud solves it
Run agents against your own model endpoints (Bedrock, Azure OpenAI, self-hosted vLLM). Workspace traffic is mTLS-encrypted; secrets never enter prompts.
Challenge
Onboarding a new engineer to a complex repo takes weeks of pairing and tribal knowledge transfer.
How VxCloud solves it
Day-one workspaces ship with codebase tours, agent-generated architecture summaries, and live pairing with a senior-engineer agent that knows the repo.
Use cases
High-impact scenarios teams run on VxCloud
Feature delivery squads
Product teams use agentic assistance to draft implementation slices, write tests, and shorten time from ticket to reviewed pull request.
Platform engineering teams
Infra teams combine code, IaC, and runtime context in one place to diagnose production issues and standardize reusable delivery patterns.
Internal developer platforms
Organizations package templates, prompts, guardrails, and automation so every team starts from a governed engineering baseline.
Integrates with your existing stack
Bring current tooling forward instead of rebuilding workflows. Standard integrations are available immediately, with deeper automation on top.
Operator outcome
Teams get a sharper developer loop, stronger governance, and a cleaner production handoff without adding separate point tools to manage.
Real-world scenarios
Where agentic ide earns its keep
Greenfield feature delivery
Spec a feature in plain English; agents draft the data model, write the API, scaffold the UI, generate tests, and open a reviewable PR — all inside one workspace.
Legacy modernization sprints
Migrate a Rails monolith service-by-service, or pull a Java app forward two LTS versions, with agents handling the mechanical work while engineers steer architecture.
Incident-to-fix workflow
Drop a stack trace or alert link into the workspace; agents pull traces, suspect commits, and runbook excerpts, then propose a fix with reproduction steps.
Codebase Q&A and onboarding
New hires ask "where does authentication happen for the billing API?" and get a grounded answer with file links, plus a guided tour of the relevant modules.
Test-coverage backfill
Point an agent at an under-tested module; it generates unit and integration tests, runs them, fixes flakes, and opens a PR with coverage delta evidence.
Repo-wide refactors with safety
Rename, extract, or restructure across hundreds of files with a preview diff, automated test runs, and rollback-ready commits — no risky bulk find-and-replace.
Talk to the Agentic IDE team
See Agentic IDE on your own codebase
Book a 30-minute walkthrough where we connect a workspace to a sample of your repo and run a real refactor, test backfill, or feature draft live.
- Tailored demo against your stack — not a canned recording
- Reference architecture for SSO, model routing, and audit logging
- Pricing options for pilots, team rollouts, and enterprise licensing
- Security and compliance review packet (SOC 2, ISO 27001, BAA)
Build the next workflow on top of Agentic IDE
Start in minutes with VxCloud-managed infrastructure, AI-assisted setup, and a production-ready baseline your team can extend safely.