What Agent AI Hub is built to do
Provide a policy-bounded native workspace for Git, dotnet builds, scheduled commands, Codex CLI sessions, diffs, and comparison reports.
Agent AI Hub
Policy-bounded native workspace for Git, builds, commands, Codex sessions, diffs, and comparison reports.
Engineering AI
FAIS Hub Product
Purpose and problem
A focused product for a defined operating job.
Provide a policy-bounded native workspace for Git, dotnet builds, scheduled commands, Codex CLI sessions, diffs, and comparison reports.
The operational gap it resolves
AI-assisted repository work needs explicit workspace scope, command policy, durable run history, and side-by-side evidence before changes can be reviewed.
Core capabilities
Capabilities designed around the product boundary.
Git workspace
Dotnet builds and commands
Codex sessions
Diff and comparison evidence
Use cases
Where teams put Agent AI Hub to work.
Designed for: Software teams, reviewers, and platform maintainers
Inspect repository status, branches, diffs, and execute approved repository actions
Run dotnet builds and scheduled commands with captured output and exit state
Manage Codex CLI sessions, compare candidate results, launch external diffs, and generate review reports
Platforms, protocols, and technology
Built for the environments that industrial teams already operate.
The exact deployment profile is selected during discovery and validated against the target equipment, network, security, and lifecycle requirements.
.NET MAUIWindows x64Gitdotnet CLICodex CLISQLiteExternal diff tools.NET 10
Platforms, protocols, and technology
Protocols and technology ecosystem
Choose the adapters and services for your equipment and deployment profile.
Databases (1)
Web and communication (2)
Logos identify their respective technologies or vendors. Trademarks belong to their owners; no endorsement or certification is implied.
Product composition
A clear architecture from source to operational outcome.
- 01
Inputs and boundary
Policy-controlled command, Git, build, and Codex adapters
- 02
Core product services
Workspace settings and durable action, prompt, build, comparison, and audit stores
- 03
Experience and outcomes
Native repository, console, AI-session, diff, and reporting workspace
Product advantages
Why teams choose the FAIS product approach.
Explicit repository and command boundaries
Reviewable execution history
Repeatable candidate comparison evidence
Plan the next step
Evaluate Agent AI Hub for your operation.
Share the equipment, workflow, data, security, and deployment constraints. FAIS will help define a focused discovery or pilot path.