Product positioning
Private Dev AI is needed by companies that want to get the effect of AI in development, but are not ready to send source code, architectural decisions, incidents and internal documentation to an uncontrolled external loop. The product is designed as a closed engineering assistant, taking into account repositories, tasks, documentation, access rights and logging.
Unlike public code copilot tools, the RESTART solution focuses on enterprise limitations: private hosting, integration with GitLab/Jira/Confluence, legacy search, test generation, code explanation and support for project documentation.
Benefits for the client
Speed up development
Engineers understand code faster, write tests, documentation, and standard changes.
Reduce dependence on knowledge carriers
The Legacy outline becomes clearer to new team members and external contractors.
Improve quality
AI helps to find unobvious areas, prepare tests, explain changes and support reviews.
Keep safe
The architecture takes into account access rights, secrets, logs, repository restrictions, and private hosting.
What the module can do
Code search and explanation
Answers questions about repositories, modules, APIs, dependencies and architectural decisions.
Tests and quality
Helps generate test cases, unit tests, regression checks and descriptions of expected behavior.
Documentation
Prepares draft READMEs, API descriptions, instructions, release notes and technical explanations.
Review support
Helps analyze changes, risks, compliance and possible points of attention.
Integrations
| System | What gives |
|---|---|
| GitLab / GitHub Enterprise | Repositories, merge requests, change history, search by code and documentation. |
| Jira / YouTrack / trackers | Tasks, requirements, acceptance criteria, statuses and connection of code with backlog. |
| Confluence / Wiki | Architectural solutions, instructions, project documentation and team knowledge base. |
| CI/CD | The context of builds, tests, releases, errors and delivery regulations. |
How we implement it
Discovery
We fix the business process, data sources, user roles, information security restrictions, benefit criteria and the first scenario.
MVP
We launch the working module in a limited loop, connect data, roles, logs, interface and quality control.
Pilot
We test the effect on real users, set up rules, finalize integrations and prepare for operation.
Scale
We expand the module to new units, sources, roles and scenarios without breaking the platform core.
Utility environment safety
Separate rules are important for the code: exclusion of secrets, control of repositories, differentiation of rights, logging requests, limiting sources, checking licenses of open-source components and an agreed mode of working with trade secrets.
Data under control
Sources, permissions, logs, and restrictions are fixed at the architecture level rather than added after launch.
Integrations
Modules connect to ERP, 1C, SAP, DWH, EDMS, Service Desk, GitLab, Jira, Confluence, portals and internal APIs.
Verifiability
Answers and actions should be explainable: sources, versions, logs, processing statuses and the responsible owner of the process.
Scaling
Each of the following scenarios uses the platform core: roles, models, RAGs, logs, connectors, and security rules.
Private Dev AI and closed infrastructure
For AI assistance to developers, closed loop, access to repositories, logging, management of secrets, and prohibition of uncontrolled transfer of code to the outside world are especially important. AI Compute provides the foundation for private Dev AI in an enterprise environment.
Frequently asked questions
Is it possible to deploy in a closed loop?
Yes. This is why the product is designed: private cloud or on-prem with control of repositories and sources.
Is AI replacing review?
No. He helps prepare the analysis, tests, and explanations, leaving the final engineering decision to the team.
Is it possible to connect a legacy system?
Yes. One of the key scenarios is explaining legacy code and supporting gradual modernization.
Enterprise product packaging
Private Dev AI / Code Copilot is delivered as a module of the RESTART AI Enterprise Platform: with a clear area of responsibility, business process owner, data model, integrations, roles, logs, pilot criteria and production plan. This is important for CIOs and CISOs: the module does not live separately from the corporate architecture, but is integrated into the IT landscape, security, operations and change management.
Business effect
Success criteria are formulated before the pilot: time, quality, reduction of manual workload, speed of response, completeness of data or controllability of the process.
Integrations
The module connects to customer systems: ERP, 1C, SAP, BI, DWH, EDMS, Service Desk, Git, portal, mail, documents and internal APIs.
Information security and compliance
The separation of roles, sources, loops, logs, and data is considered at the architectural level rather than added after launch.
Scaling
After the first successful scenario, the module can be expanded to new departments, documents, processes, users and regions.
How to show value per pilot
Select one process
Don’t try to automate everything at once: choose a process with an understandable pain, an owner and a measurable result.
Connect data
Collect a limited but real set of documents, applications, reports, code, regulations or historical requests.
Check with users
Conduct a pilot on working scenarios, collect feedback, adjust the quality of answers and control of controversial cases.
Design an production environment
Fix the architecture, roles, regulations, SLA, monitoring, support and development roadmap.
Let's discuss your environment
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
