OpenCoder follows your architecture and returns review-ready code with the tests, checks and evidence attached. Deploy it inside the environment you already operate, or let us build a secured sovereign AI instance for you, so source, models and the delivery workflow remain inside the institution.
OpenCoder returns the change, its impact and the proof your reviewers need.
Engineering scope
Engineering work, returned with evidence.
OpenCoder works against a repository and a bounded goal. It reads the existing patterns, makes the change, runs the checks and returns an artifact a human can inspect before anything ships.
Build systems
New applications, APIs and infrastructure shaped around the patterns already present in the repository.
Application code
Tests and CI
Deployment configuration
ReturnsA working branch
Change safely
Feature work, refactors and migrations carried through with the existing behaviour kept under test.
Reviewable diff
Regression coverage
Migration notes
ReturnsA change set ready for review
Explain and repair
Architecture reviews and debugging that connect a diagnosis to the code and evidence needed to fix it.
Root-cause trace
Risk findings
Verified patch
ReturnsEvidence, not a suggestion
Delivery trace
From a goal to a change your team can review.
OpenCoder inspects the existing system, builds in a feature branch and returns the code with verification evidence. This is a representative workflow; a human approves every merge and release.
Representative OpenCoder workflow from a development goal through inspection, implementation and verification to human review.
Representative workflow
loan-origination / SME-142
Paused for reduced motion
01 / 05
Goal · stage 1
Add an affordability guard to SME credit decisions
Preserve the existing API contract, handle missing financials safely and cover the policy boundary in tests.
task brief
SME-142 · affordability guard
target
credit decision service
rule
debt service ratio ≤ policy limit
fallback
missing inputs → manual review
scope
domain logic + API + tests
✓Acceptance criteria captured before code changes
Representative workflow · Artifact names and results are illustrative. Main remains unchanged until an engineer approves the work.
Sovereign AI deployment
The model runs on ground you control. Under your rules.
We deploy OpenCoder and its approved models inside your internal environment. If that environment does not exist yet, we build a secured sovereign instance for you—and hand you the keys. Your data remains in your environment, and our deployment access ends at handover.
Interactive map of a sovereign OpenCoder deployment. Select a system component to inspect how it remains under institutional control.
Sovereign instanceDeploy into yoursSelect a component to inspect
BoundaryMapped to your controls
Controlled boundaryYour private cloud or data centre
Authorised requestPrivate gateway
Your network
Your identity
Your governance
× Data + model traffic stay inside
Deploy into yours. Inspecting OpenCoder.
Selected componentActive
Sovereign core
OpenCoder
The agent plans, changes and verifies code within your existing operating boundary.
✓ Human review
✓ Bounded actions
✓ Tool allow-list
Deployment targetsYour cloud. Your private estate.
Amazon Web ServicesYour AWS account
Microsoft AzureYour Azure tenant
Google CloudYour GCP project
Private data centreYour own hardware
Data residence
Your environmentSource, prompts, responses and logs remain in your tenant.
Administration
Your teamYou control identities, model access and audit records.
BlackAlpine access
No retained accessDeployment credentials are removed at acceptance.
The non-negotiable
Your data never becomes ours. We do not retain access after handover. If you request support later, your team must explicitly approve a time-bound, audited session.
Deployment economics
Pay for the system, not every token.
OpenCoder runs inside an environment you control—one you already operate or a sovereign instance we build for you. The economics follow your infrastructure rather than a resale price attached to every request.
Metered coding tools
−Usage grows a provider bill
−Source and prompts cross a vendor boundary
−One provider controls the model roadmap
−Subscription and token markup compound
OpenCoder deployment
+Operating cost follows compute capacity
+The deployment boundary belongs to your institution
+Approved models can be routed or replaced
+No third-party token resale or licence markup
Actual operating cost depends on workload, approved models, hardware and deployment mode. We scope those inputs before making a cost comparison.
Try it
Ask OpenCoder through the gateway.
When you send a question, the model answers through BlackAlpine's sovereign gateway. This demonstrates the gateway and model response path—not autonomous access to, or editing of, a codebase.
opencoder — model Q&A○ Gateway demo
Ask the model about engineering, AI strategy, or BlackAlpine's products. Responses are generated through the gateway.
BlackAlpine sovereign AI gateway · GLM model · self-hosted · model Q&A only—no repository access
Put an AI engineer on your codebase.
OpenCoder runs as a CLI or IDE assistant. Point it at your codebase, give it a goal and it executes. For enterprise, we deploy the full sovereign stack inside your network. Tell us the codebase and the constraint.