Local-first
Run coding models close to your repository and keep source code on infrastructure you control.
PRIVATE V1 • LOCAL-FIRST AI ENGINEERING
Bring your AI
to your code.
Rogue AI Engineers is building a controlled runtime and verification harness that connects coding models to real repositories without handing the model unrestricted control.
/dataRepository boundary
LocalModel execution
Multi-clientEditor, web & API direction
rogue / controlled-runtime
$ rogue run "add terraform support"
→ inspecting repository...
✓ plan validated
✓ sandbox: /data
✓ mutation scope checked
✓ committed exactly once
✓ read-back verified
✓ project validation complete
ROGUEControlled. Verified. Local.
THE PROBLEM
Models can generate code.
Production teams need control.
Giving an autonomous model broad access to a developer machine creates a trust gap. Rogue puts a deterministic control layer between model intent and repository execution.
WHAT ROGUE PROVIDES
One controlled runtime.
Six critical safeguards.
Run local models on infrastructure you control, with no per-token API bill in local mode and a controlled execution layer between model output and your repository.
Repository sandbox
Rogue constrains repository operations to the mounted workspace instead of giving an agent unrestricted machine access.
Controlled execution
Models propose. Rogue validates policy and executes through trusted tools with bounded command access.
Verification harness
Structural validation, mutation checks, filesystem read-back and environment-aware verification help catch bad model output.
Approval gates
Destructive actions such as deletion require external approval. The model cannot approve itself.
Editor integration architecture
Rogue is designed so VS Code and future editor integrations can use the same controlled runtime without duplicating execution policy in each client.
VERIFICATION HARNESS
Generation is only the start.
Rogue checks what happens next.
Structural validation
Validate deterministic project structure and repository state without requiring every framework toolchain to be installed.
Mutation integrity
Keep proposed and executed repository changes aligned with accepted scope and policy.
Read-back verification
Read committed files back from the repository instead of trusting model claims about what changed.
Environment-aware verification
Use external build or verification tooling when available, and report when verification could not run because required tooling is unavailable.
DEVELOPER EXPERIENCE
One Rogue runtime.
Multiple developer surfaces.
Editor integrations stay thin while repository policy, approvals, execution and verification remain centralized in Rogue.
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VS Code
Chat, task status, changed-file navigation, approvals and verification results can sit directly beside the code.
IDE
Other editors
The same runtime boundary can support additional editors and IDEs without duplicating safety policy in every client.
API
Web & API
Web interfaces and programmatic clients can use the same controlled runtime for a consistent execution contract.
VS CodeOther editors / IDEsWeb UIAPI clients→ROGUE CONTROLLED RUNTIME
WHY ROGUE
Don't replace the model.
Put a controlled runtime around it.
Run local or self-hosted coding models behind a controlled execution layer. Rogue governs how model intent reaches your repository.
YOUR MODELYOUR MACHINENO PER-TOKEN API BILLin local mode
01 / MODELLOCAL MODELGenerate intent + code
↓
ROGUE / CONTROLLED RUNTIMEACTIVE
Models generate. Rogue controls.
BOUNDARY/data
EXECUTIONTrusted tools
POLICYScope checked
SAFETYApproval gates
↓
03 / VERIFYVERIFICATIONRead back. Validate. Confirm.
↓
04 / RESULTYOUR REPOSITORYControlled. Verified. Local.
THE DIFFERENCE
Generation isn't completion.
A model saying "done" is not proof that the engineering task succeeded. Rogue verifies repository state and accepted changes before treating execution as complete.
ARCHITECTURE COMPARISON
Different layer. Different job.
Hosted coding agents vary by product and configuration. This comparison describes the architectural distinction Rogue is designed around.
DIMENSIONTYPICAL HOSTED AGENTROGUE
INFERENCEProvider / API often centralLocal or self-hosted model
ECONOMICSUsage may be provider-meteredNo per-token API bill in local mode
EXECUTIONAgent and model drive actionsRuntime governs repository actions
BOUNDARYDepends on service + configurationRepository-bounded processing
TRUSTGenerated resultGenerate → Control → Verify
About local inference. Local models still process tokens and use your compute. "No per-token API bill" means Rogue's local mode does not require paying a hosted model provider for each token processed.
CONTROL PLANE
Models generate. Rogue controls.
Tools execute. Validators verify.
01
Ask
Give Rogue a coding task from an editor, UI or API against your mounted repository.
02
Plan
Rogue combines model-generated intent and content with deterministic project controls to prepare repository changes.
03
Control
Rogue checks schemas, policy, paths and the /data sandbox.
04
Execute
Trusted tools apply accepted changes exactly once.
05
Verify
The Rogue harness reads changes back, validates structure and can invoke available build or verification tooling.
Editor / UI / API
→Coding model
→ROGUE RUNTIME
→Trusted tools + harness
→Repository
PRIVATE V1
Built. Containerized.
Preparing for the first developer pilot.
The private release is designed to run Rogue, Ollama and a local model in a container with the repository mounted at /data. The pilot remains intentionally small while installation, reliability, security and developer trust are validated.
PRIVATE ACCESS
Early Developer Pilot
- Private container distribution
- Authenticated registry access
- Local repository execution
- Direct feedback loop
PLATFORM DIRECTION
The value isn't another model.
It's the control layer.
As coding models improve, Rogue is being built around a durable layer between model intent and software repositories: policy, execution controls, verification and developer-facing integrations.
Model-agnostic direction
Rogue can sit above changing local coding models instead of coupling the product to a single foundation model.
Harness as infrastructure
Repository controls and verification live below the user interface, allowing the same execution contract to support multiple developer clients.
Editor ecosystem
VS Code is a natural first integration, with a path toward additional editors, IDEs, web clients and team workflows over the same controlled runtime.
ROGUE AI ENGINEERS
We tame LLMs.
Bring AI to real code — with a controlled runtime and verification harness between generation and execution.
CONTACT US
Talk to Rogue AI Engineers.
For product, private pilot, partnership, or general inquiries:
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