AI Coding Agents for Secure Environments
Your developers want agentic AI coding. Your security team cannot approve tools that send code, prompts, logs, or execution outside the perimeter. Globalbit deploys a private coding-agent stack inside your air-gapped or private-cloud environment, so engineers move faster without breaking security policy.
Ship code 2–4× faster. Inside your network.
Built for CISO review in defense, finance, and regulated environments.
The agent works autonomously only inside approved boundaries. It can read code, write changes, run tests, fix errors, and prepare pull requests inside the development sandbox. It cannot access the public internet, restricted repositories, production systems, or infrastructure controls unless your policy explicitly allows it.
Every sensitive action is contained, logged, and verifiable by your own security team before rollout.
Five guarantees, enforced by architecture.
Threat model your security team can verify
Autonomy where policy allows it. Enforcement where risk begins.
The agent runs inside a restricted execution environment with default-deny network and filesystem policies. Within the approved scope, it can read code, make changes, run tests, fix build errors, and prepare a pull request. Everything outside that scope is denied by design. Internet access, restricted repositories, production systems, infrastructure changes, and merge decisions stay behind explicit controls. The architecture gives developers speed without asking security teams to rely on trust.
The agent moves at agentic speed inside its lane. Outside its lane, it doesn't move.
Deploy where your security policy allows
One agentic coding stack, adapted to your environment: fully disconnected networks, private or sovereign cloud, and restricted hybrid setups. Developers get AI coding workflows while source code, prompts, logs, and execution remain under your control.
A coding agent that does the work end-to-end
Not autocomplete. An agent that reads, plans, writes, tests, compiles, and opens a reviewed pull request — while you keep working on something else.
See the agent finish a full day's task in 20 minutes.
A live walkthrough on your terms. We deploy the stack on a test machine, give you a real engineering task, and let the agent work end-to-end. Inside a network with zero external connections.
Three layers. All inside your perimeter.
We evaluated every serious AI coding tool on the planet — commercial, open source, and hybrid. These three components, together, are the best the global ecosystem offers for agentic coding inside a perimeter. Every layer is Apache 2.0 or MIT. Self-hosted on standard Linux. No telemetry. No phone-home. Nothing in the path you don't own.
Your security policy picks the model.
The strongest open-weight coding models in 2026 are listed below — ranked by current benchmarks, not by what we sell. The stack is model-agnostic. Swap weights, the rest keeps running.
The top four open-weight coding models in 2026 are Chinese. They benchmark hardest, and the data-leak concern that drives most enterprise restrictions doesn't apply here — nothing in our stack ever connects to vendor servers. What does apply: procurement restrictions in defense contracts, supply-chain audit requirements on model weights, and reputational considerations tied to Chinese National Intelligence Law obligations on the upstream developers. Some customers exclude these weights outright. Others accept them after independent weight audit and SHA-256 verification against the official release.
If Chinese weights are off the table, Devstral 2 (agentic) and Codestral 2 (inline / FIM) are the strongest Western-origin alternatives. Devstral 2 is the only Western-origin model that competes at the agentic tier on a single-GPU footprint.
Roughly one-third the five-year cost. No license. Yours forever.
We're agnostic on build-vs-buy. Some teams need a commercial vendor's support model. Most regulated environments are better served by the open-source path: lower cost, full audit, no license clock ticking. We deliver both.
From first call to production in three weeks
Industries where code doesn't leave the building
Regulated environments where security policy decides what tooling exists. We deploy where the perimeter is the product.
Why Clients Choose and Stay with Globalbit
We hired Globalbit to support our development, and we made a long way since. They always provided us with the necessary assistance in a professional, reliable and thoughtful manner. Working with subcontractors requires a lot of trust and responsibility — with Globalbit we had a great experience of cooperation with highly professional and dedicated people.
Working with Globalbit was exciting, satisfying and occasionally surprising. It was impressive to watch Globalbit's team connecting with our deepest marketing challenges and professionally translating them to the technological space in the web and mobile environments.
With Globalbit, we discovered a thoughtful company that carries out its mission responsibly, dedicatedly and in the highest professional standards. Surely, Globalbit can contribute to the success of any business or venture.
Frequently Asked Questions
How is this different from GitHub Copilot, Cursor, or Claude Code?
Is this an open-source alternative to Tabnine?
What models can run on-premise in an air-gapped network?
How do you update the model and software without internet access?
Can the agent really work autonomously in a regulated environment?
Does this work for C/C++ codebases in safety-critical or DO-178C environments?
What hardware do we need?
How does our security team verify the system is actually contained?
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