Build what matters, faster than the old model allows.
A governed operating model that takes teams from idea to production-grade software, with AI doing the heavy lifting and architecture keeping it safe.
- Days
- to working software, not quarters
- 3 lenses
- business, UX and engineering, one team
- Production-grade
- foundations, never throwaway prototypes
The equation
Speed without the wreckage
AI-RSE is a harness for using AI engineering tools safely, commercially and effectively. Think of it as the bumper bars that keep fast-moving teams in a straight line.
Architectural expertise
Headless, composable, API-driven foundations.
AI-assisted coding
Cursor, coding standards and reusable rules.
Secure SaaS tooling
Tested auth, billing and serverless infrastructure.
Rapid, responsible scaling
From raw idea to production, in the shortest safe time.
How it works
One governed path, idea to production
A repeatable workflow that turns rough thinking into shipped software, without skipping the parts that keep it safe.
- 01
Idea capture
Convert rough ideas, dictation, emails or notes into structured requirements.
- 02
Requirements engineering
Clarify the problem, audience, constraints and success measures.
- 03
PRD creation
Produce implementation-ready product requirements optimised for AI-assisted development.
- 04
Architecture and stack selection
Define the right SaaS tooling, data model, integrations and deployment approach.
- 05
AI-assisted build
Use Cursor, coding standards, reusable rules and modern frameworks to accelerate development.
- 06
Testing and security
Validate functionality, authentication, API routes, environment variables and deployment readiness.
- 07
Deployment
Move from idea to production using scalable, secure cloud infrastructure.
Ways to work with us
Three ways to use AI-RSE
Build internal capability, implement the model with expert support, or have Luminate build the application with you.
Understand how to capture ideas, generate product requirements, structure backlogs, guide AI coding assistants, set up Cursor rules, choose the right SaaS services and move from concept to working product faster.
- AI-RSE methodology overview
- Requirements engineering workflow
- PRD creation framework
- Cursor-ready delivery patterns
- AI-assisted coding standards
- Secure SaaS architecture principles
- Testing and deployment practices
We work with your team to implement AI-RSE into your operating environment: workflow design, tooling selection, backlog structure, PRD patterns, coding standards, Cursor setup, architecture principles and security considerations.
- Workflow and tooling assessment
- PRD and backlog structure design
- Cursor rules and coding standards setup
- Architecture and security principles
- SaaS, API and custom build balance
- Team coaching and handover
A collaborative engineering engagement where we shape, architect and build applications using the AI-RSE model, from idea to production-grade prototype, and where appropriate, into production-ready software.
- Idea shaping and requirements capture
- PRD and user story development
- Architecture and technical planning
- Secure application build
- Authentication and billing setup where required
- Testing, deployment and production handover
Why it works
Most AI coding fails at the prompt. AI-RSE fixes the inputs.
Structured thinking becomes clear PRDs, coding standards and reusable architecture, so the AI amplifies engineering judgement instead of replacing it.
- Faster idea to prototype
- Better requirements before build
- Consistent AI-assisted delivery
- Stronger security discipline
- Less delivery ambiguity
- A clear path to production
Start with AI-RSE
Tell us about your goal and we will come back with the most suitable next step, whether that is training, implementation support or an approved app build conversation.
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