AI-powered implementation+JadeX engineering oversight+Customer control
01 / THE APPROACH
Two ways to work. One engineering standard.
Equip the team you have. Or bring a managed AI squad into the team you’re building.
THE SAAS PLATFORM
Fusion Standard
A complete engineering workflow for your team — from identifying development needs and analysing repositories to assignment, implementation, review and validation.
Connect tickets, repositories and AI agents
Implement whole scoped tickets with tests
Keep priorities, approvals and releases in your control
Use your own AI provider accounts and credentials
JadeX engineers direct the work, validate findings and review changes. Your team retains control over priorities, approvals and release decisions.
Built to work together. Human-led engineering, Autonomous or Hybrid Delivery — through the same backlog and governance.
02 / FUSION AUTONOMOUS
Six-person capacity. One AI squad.
Familiar engineering responsibilities. Coordinated AI execution. JadeX engineers supervise and approve delivery.
Work moving between agents Rework returning to implementationAssigning work
Full squad view
01 / 06
Technical Lead
Planning, architecture and technical coordination.
Select an agent to explore
ILLUSTRATIVE ENGINEERING ROLE CONFIGURATION · ROLE MIX AGREED FOR YOUR SERVICE
ORCHESTRATED BY JADEX
Assign work · share context · route feedback and rework
SHARED ENGINEERING TOOLS
Repositories · workspaces · tests · evidence
HUMAN REVIEW & APPROVAL
AI quality checks support the squad. JadeX engineers approve changes.
Role mix is agreed for your service. Model execution and compute are shared across roles on JadeX-managed, self-hosted AI infrastructure, within the agreed service scope.
03 / CONTROLLED DELIVERY
One ticket. A reviewed solution.
Follow an illustrative casino ticket from a clear brief to a change ready for your agreed release process. The workflow is shared by Standard and Autonomous.
SHARED UNDERSTANDING
Clear scope from the start.
Agree priorities, acceptance criteria and constraints before assigning work to an agent.
EVIDENCE WITH THE CHANGE
Implementation with tests.
Prepare the proposed change and regression coverage within your engineering standards.
HUMAN ACCOUNTABILITY
Reviewed before release.
JadeX engineers review the evidence, request rework or approve the change for your release process.
YOUR ENGINEERING MEMORYClient-owned
01
Architecture
Your systems. Your structure.
02
Coding standards
The way your team builds.
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03
Technical decisions
The context behind the code.
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04
Validated delivery lessons
What’s learned. What’s approved.
✓
Knowledge that builds over timeExportable
04 / YOUR GROWING ENGINEERING ASSET
Knowledge that stays with you.
Fusion Autonomous builds a dedicated Engineering Memory of your architecture, coding standards, technical decisions and validated delivery lessons.
Future work builds on what has already been learned and approved. Your customer-specific knowledge base is fully owned by you and exportable — throughout and beyond the engagement.
Client-ownedExportableBuilt over time
05 / ENTERPRISE REPOSITORY ANALYSIS
Go beyond the backlog.
Your repositories hold more than code. Explore potential security risks and opportunities to improve quality, even before a ticket exists. JadeX engineers validate findings and agree what to tackle next.
FROM REPOSITORY TO REVIEWED CHANGE
INTERACTIVE ILLUSTRATION
ONE CONNECTED CODEBASELook across the whole repository.
An endpoint may return player information without the expected access check. A finding to investigate, not a confirmed vulnerability.
src/api/player.tsEXAMPLE
async function getPlayer(request) {
// Is access checked here?
return playerData;
}
Next: validate with a JadeX engineerCheck the endpoint, surrounding controls and intended permissions.
01Validate
Confirm what is real and relevant.
02Prioritise
Agree impact and urgency.
03Implement
Prepare a scoped fix with tests.
04Review
Engineer approval before release.
Illustrative examples, not live findings. Engineers assess security and quality issues before agreeing changes. A repository review does not guarantee secure code.
Make useful delivery visible. Track validated findings, agreed priorities and reviewed fixes alongside delivery time, review effort and defects after acceptance.
