Start with one task. Continue to a verifiable result.
Conversation, code changes, terminal output, and runtime state stay in one workspace, reducing tool switching.
AI software engineering
Turn requirements into production-ready code.
An AI workspace built for real software engineering—from understanding a codebase to editing, running, and validating changes in one continuous workflow.
Controlled model routingRequests are handled server-side
Complete workspaceFiles, terminal, and editor in one place
Task budgetsControl Credit usage per task
Server-side keysUpstream credentials never enter the browser
Live interface flow
How one request becomes a reliable delivery.
A task passes through the controlled Gateway, then the Model Interface. Plans, code, and tool calls enter an isolated workspace and go through test validation.
DEMO TASK
Task requestFix checkout flowillustrative task state
checkout/DEMO · 100 CREDITSNOT SIGNED IN
CHECKING
Private gatewayMetaBlox Routerserver-side policy control
HEALTH CHECKCREDIT DEMOMODEL CHECK
DEMO STREAM
Model interfaceAI Modelillustrative encrypted stream
DEMO TOKENS
DEMO OUTPUT
Workspace outputPatch + Testsillustrative result · not customer data
DEMO2 FILES · 12/12 PASS
Gateway status comes from the live health endpoint. When you are signed out, tasks, Credits, streaming responses, patches, and tests are clearly labeled demo data.
Not a chat box. A complete software engineering environment.
The agent understands your project, edits files, runs commands, and validates results. You can see the process and retain control of the final code.
Set a budget for every task.
Each task has its own Credit limit, status, and usage history.
Customers use the product—not the upstream key.
Model access, pricing logic, and the ledger stay server-side.
Code, plans, and execution history—all in one place.
The desktop experience preserves full context, so complex tasks do not scatter across windows and temporary conversations.
Understand the codebase
Start from the project structure and existing implementation—not a blank prompt.
Execute and validate
Run commands, tests, and build workflows in an isolated workspace.
Stay in control
Review every action, then take over or pause a task when needed.
Give customers model capabilities—not your keys.
The browser receives only an authenticated session. Upstream model credentials, the Credit ledger, and internal session keys remain on controlled servers.
Independent loginUser roles and sessions are managed by the product Gateway.
Request isolationModel requests pass through a private server-side proxy.
No resaleResale, sublicensing, account sharing, Credit transfers, and
general-purpose model proxying for third parties are prohibited.
Customers purchase product Credits.
The platform bills against actual model usage. Customers do not purchase upstream model quota or receive a provider API Key. Accounts, Credits, and access rights may not be resold or transferred.
Controlled, auditable, and enforceable.
Balances, usage history, task budgets, and administrator approval form a complete commercial control loop.
Put coding agents to work in production.
Start with a controlled workspace and hand repeatable development tasks to MetaBlox Code.
Request a workspace