• ISO Certified ISO/IEC 27001:2022
Sovereign AI Platform · Software Engineering Agent

Sovereign AI Coding Agents with Zero Data Egress

Deploy AI coding agents across the engineering lifecycle with a Sovereign AI Platform built for secure code access, controlled execution, and human oversight at every critical step.

routers/users.py Sample

Illustrative sample. Code, findings and scores are demonstration values and will vary by environment.

Agent Workflow

Inside the Workflow of an AI Coding Agent

Run AI coding agents on governed infrastructure through a Sovereign AI Platform that keeps code, access, and approvals within the enterprise boundary.

    Code Agent · Run trace Inside boundary
    DVAdd a user sign-up endpoint to the accounts service
    1 / 8

    Illustrative sample. Repository names, code, findings, test counts and scores are demonstration values and will vary by environment.

    Across the Lifecycle

    Coding Agents for Every Stage of Software Delivery

    Move beyond isolated coding assistance with agents that support connected engineering tasks from design through modernization.

    Illustrative sample artefacts.

    Without Code Egress

    Agentic AI Coding Tools with the Enterprise Boundary Built In

    Public AI coding assistants may send code context to external infrastructure for processing. The Code Agent runs within a Sovereign AI Platform, keeping code, context, agent execution, and approvals within the enterprise boundary.

    Public AI coding assistant

    Developer IDE
    code context
    Enterprise perimeter
    internet
    External model API

    Code, prompts and suggestions cross the perimeter on every request.

    AppsTek Code Agent

    Sovereign boundary
    Developer IDE
    request
    Code Agent
    inference
    Code-tuned SLM on enterprise GPUs

    Repositories are indexed, and suggestions generated, on infrastructure the enterprise controls.

    Repositories indexed in placeCode context is read with existing repository permissions and never copied to a vendor cloud.
    Models tuned for code patternsDomain-tuned models are versioned in a registry and compared before release.
    Keys held by the enterpriseEncryption keys are generated offline and kept in the enterprise HSM.
    Security Guardrails

    Security Guardrails for AI Coding Agents

    Every proposed change is assessed against security, compliance, and enterprise coding standards before review.

    OWASP

    Application security

    • Injection and unsafe query construction
    • Plain-text passwords and weak cryptography
    • Broken access control on endpoints
    SOC 2

    Change and access control

    • Changes linked to an approved request
    • Access decisions logged and reviewable
    • Secrets kept out of source code
    PCI DSS

    Cardholder data handling

    • Card data kept out of logs and error messages
    • Encryption for stored and transmitted card data
    • Payment flows separated from general services
    GDPR

    Personal data protection

    • Personal fields identified in data models
    • Retention and deletion paths present
    • Personal data minimised in telemetry

    Enterprise coding standards stored in the knowledge layer are applied on every run. Pairs with the Security Agent for continuous threat monitoring.

    Engineer Approval

    AI Coding Agents with Engineer-Controlled Approvals

    The Code Agent works within repository policies and routes proposed changes through established review workflows.

    • Protected branches and merge rules inherited from the repository
    • Over its limit, the agent stops and names the approver
    • Pause the agent, roll back a change or revoke a tool in seconds
    • Prompt, files read, model version and scan results logged for every change
    OpenAdd user sign-up endpoint with hashed passwordsSample

    feature/user-signup → main · proposed by Code Agent on behalf of Developer · Accounts

    Checks

    ✓ OWASP review · 0 open findings
    ✓ Secrets scan · clean
    ✓ Unit tests · 6 of 6 passed
    ✓ Coding standard · accounts-service v3

    Agent notes

    Passwords are hashed with bcrypt before storage, replacing the plain-text field in the first draft. API reference updated for the new endpoint.

    Approval required

    TLTech Lead · AccountsRequired reviewer for main
    ApproveRequest changes
    Who Uses It

    Coding Agents Built for Every Engineering Role

    Bring coding assistance into development, testing, architecture, and security workflows under shared enterprise controls.

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    Developers

    Generate endpoints, scripts and fixes in the codebase's own patterns, with review built in.

    ◇

    Architects

    Draft designs, compare options and record decisions against enterprise standards.

    ✓

    QA engineers

    Produce unit and integration tests from requirements and existing code paths.

    ⛨

    Security teams

    Apply OWASP, SOC 2, PCI DSS and GDPR checks consistently on every change.

    ↗

    Engineering leaders

    Raise delivery throughput while keeping source code and IP inside the enterprise.

    Part of the Sovereign AI Platform

    AI-Powered Coding Agents, Governed at Every Layer

    AI-powered coding agents operate within the AppsTek Sovereign AI Platform, using its shared data, privacy, model, approval, and audit capabilities across the agent ecosystem.

    Platform layerWhat the Code Agent uses it for
    Connectors and governed data layerReads repositories, tickets and pipelines with existing permissions
    Privacy gateKeeps secrets and personal data out of prompts and suggestions
    Knowledge layerHolds coding standards, architecture patterns and past decisions
    Sovereign small language modelGenerates and reviews code on code-tuned models running on enterprise GPUs
    Agent runtime and approvalsOpens pull requests and stops for a named reviewer before merge
    Immutable audit log and key custodyRecords every prompt, file read and change, encrypted with enterprise-held keys
    FAQ

    Everything You Need to Know About the Code Agent

    What are AI coding agents and how do they support enterprise software engineering?

    AI coding agents are software engineering agents that support work across design, code generation, code review, testing, documentation, and application modernisation. The Code Agent works within the AppsTek Sovereign AI Platform, using enterprise repositories, coding standards, governed data, code-tuned models, and existing approval workflows to produce reviewable engineering artefacts.

    How do AI coding agents keep source code and engineering data secure?

    The Code Agent operates inside the enterprise boundary, with repositories accessed through existing permissions and code-tuned models running on enterprise-controlled infrastructure. Prompts, source code, suggestions, and engineering context remain within the defined environment, while enterprise-held encryption keys, privacy controls, and immutable audit logs provide additional governance.

    How is a secure AI coding assistant different from a public AI coding tool?

    A secure AI coding assistant is designed around the security and governance requirements of enterprise software engineering. The Code Agent keeps source code within the enterprise environment, inherits repository permissions, applies security and compliance checks, uses enterprise-controlled infrastructure, and routes proposed changes through established review and approval processes.

    What can AI powered coding agents do across the software development lifecycle?

    AI powered coding agents can support multiple stages of engineering work, including architecture and design, code generation, code review, test creation, documentation, and legacy application modernisation. Each stage produces an artefact that engineers can inspect, modify, validate, and approve before the work progresses.

    Can AI coding agents work with existing enterprise repositories and engineering standards?

    Yes. The Code Agent reads repositories through existing access permissions and applies coding standards stored in the platform knowledge layer. Engineering teams can retain established repository structures, branch protection, review rules, and approval requirements while introducing AI coding agents into existing development workflows.

    Do AI coding agents merge code without human approval?

    The Code Agent follows repository branch protection, review rules, and approval limits. It can prepare a pull request with its reasoning, checks, findings, and proposed changes, while a named engineer remains responsible for approving the change before it merges when repository policy requires that approval.

    Which security and compliance standards can AI coding agents apply to code changes?

    The Code Agent can assess proposed changes against OWASP, SOC 2, PCI DSS, GDPR, and enterprise-specific coding standards. Checks can cover areas such as injection risks, access control, secrets, cryptography, data handling, logging, and other requirements defined by the organisation.

    Can agentic AI coding tools help modernise legacy applications?

    Yes. The Code Agent can read and explain legacy code, identify existing behaviour, propose modern equivalents, and generate tests that help validate functional parity. Modernisation can therefore proceed through smaller, reviewable changes rather than requiring engineering teams to replace an application in one large step.

    Where do AI coding agents run and how can enterprises deploy them?

    The Code Agent can operate within enterprise-controlled infrastructure, including on-premise environments, private cloud tenancies, and supported appliance-based deployments. The deployment model can be aligned with organisational requirements around data sovereignty, infrastructure control, privacy, security, and regulatory obligations.

    How do code agents work with other enterprise AI agents?

    The Code Agent operates as part of the AppsTek Sovereign AI Platform and can work alongside platform agents such as the Knowledge Agent, Compliance Agent, Data Science Agent, and Security Agent. Shared platform controls provide a common foundation for governed data access, privacy, models, approvals, and auditability.

    Built on the Sovereign AI Platform governance ring

    Data sovereigntyRegion pinned, inside the perimeter
    Inherited accessRepository permissions on every run
    ExplainabilityReasoning, sources, model version
    Privacy by defaultPII masked before the model sees it
    Enterprise keysHeld in the enterprise HSM
    Immutable auditEvery change recorded once
    See It Live

    See AI Coding Agents in Action

    Explore a live workflow on an enterprise codebase.


      • ISO Certified ISO/IEC 27001:2022